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Paper Citation Record · LEDGER

Reinforcement Learning Increases Wind Farm Power Production by Enabling Closed-Loop Collaborative Control

As of 10 August 2026, this Paper Citation Record lists 75 of 75 outbound references and 2 inbound Pith citation observations for arXiv:2506.20554.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2506.20554 v1

Coverage vector

measured 75 of 75 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T22:54:34.114513Z

measured 77 of 77 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T18:40:08.955364Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-11T08:06:00.027311Z

Reference resolution

75 of 75 outbound references displayed

  • verified exact0
  • verified fuzzy67
  • unresolved8
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 88480f3e-4b83-4206-90e7-43cca448eaab · outbound

This paper cites BoTorch: A Framework for Efficient Monte-Carlo Bayesian Optimization.

Reinforcement Learning Increases Wind Farm Power Production by Enabling Closed-Loop Collaborative Control BoTorch: A Framework for Efficient Monte-Carlo Bayesian Optimization

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-06T22:54:26.313453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:54:26.313453Z digest=sha256:f018fac111565564b2a7075faceb972f2d983133dfa34140151f3e157388ee5d

Observation fd101078-fa59-4f5c-bc3c-5f36d55eec69 · outbound

This paper cites Wind Energy 13(6):573–586.

Reinforcement Learning Increases Wind Farm Power Production by Enabling Closed-Loop Collaborative Control Wind Energy 13(6):573–586

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:54:42.349850Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T22:54:26.389927Z digest=sha256:624382e60bea0f7cfbe177b7e8c200beeb40c43806bee370254545344e56b872

Observation dd850258-3010-497c-8b47-77c9cc922047 · outbound

This paper cites Wind Energy 12(5):431–444 17.

Reinforcement Learning Increases Wind Farm Power Production by Enabling Closed-Loop Collaborative Control Wind Energy 12(5):431–444 17

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:54:42.340881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T22:54:26.484347Z digest=sha256:a9db03ad73d752f6feb5e948ccea4aca05d493f35d3bae0e467b761d6dfac8b5

Observation d0a906db-9177-495f-bbb4-87b354f2a4c3 · outbound

This paper cites SoftwareX 12:100550.

Reinforcement Learning Increases Wind Farm Power Production by Enabling Closed-Loop Collaborative Control SoftwareX 12:100550

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:54:42.332313Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T22:54:26.587915Z digest=sha256:cc4c11e80a36c0a16cee757a440d9badeb4a6527d0c2cae036a63a169025de6f

Observation 8511dacb-9493-4b51-83aa-b16b2f5f5940 · outbound

This paper cites Renewable Energy 70:116–123.

Reinforcement Learning Increases Wind Farm Power Production by Enabling Closed-Loop Collaborative Control Renewable Energy 70:116–123

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:54:42.323006Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T22:54:26.740147Z digest=sha256:9fc48c53eefb4f06771e1cd5f5726a44ab4524a171aedf514d39bdb9570b072a

Observation 0db856a0-749a-4850-87b1-461a5bec221b · outbound

This paper cites URL https: //doi.org/10.5281/zenodo.14507040.

Reinforcement Learning Increases Wind Farm Power Production by Enabling Closed-Loop Collaborative Control URL https: //doi.org/10.5281/zenodo.14507040

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-06T22:54:26.936648Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:54:26.936648Z digest=sha256:dcdaba58d235d1f6163fdc200e14ffacb11b7f11aff41471445a510522ce4448

Observation 3ba4b8ab-68f7-418a-a5cc-091e714d4ede · outbound

This paper cites Journal of Fluid Mechanics 955:A12.

Reinforcement Learning Increases Wind Farm Power Production by Enabling Closed-Loop Collaborative Control Journal of Fluid Mechanics 955:A12

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:54:42.314177Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T22:54:27.083514Z digest=sha256:4296e97b8616771f12df97e3216c45cc7311886a0c48e8c35e1beb376b6cdb14

Observation ae866de2-fa6b-48ec-b523-57c46eccaeba · outbound

This paper cites Wind Energy Science 9(4):869–882.

Reinforcement Learning Increases Wind Farm Power Production by Enabling Closed-Loop Collaborative Control Wind Energy Science 9(4):869–882

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:54:42.305154Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T22:54:27.234637Z digest=sha256:149a45de3d48b4a6d41d894811663fdc9298a827e441405a0d02d59d773ffb38

Observation c97fb153-3de3-4c4d-90b6-c73dafa6239b · outbound

This paper cites TorchRL: A data-driven decision-making library for PyTorch.

Reinforcement Learning Increases Wind Farm Power Production by Enabling Closed-Loop Collaborative Control TorchRL: A data-driven decision-making library for PyTorch

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-06T22:54:27.361844Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:54:27.361844Z digest=sha256:23a8ce7d2b9b09d6f67c2aad696b04331afc4b6e06bf1db9d9574797d66a48b0

Observation 92ed5997-1673-4181-ae48-af98792f70cb · outbound

This paper cites an unresolved cited work.

Reinforcement Learning Increases Wind Farm Power Production by Enabling Closed-Loop Collaborative Control Unresolved cited work

Reference 10

Resolution
unresolved
raw_fallback, observed 2026-08-06T22:54:42.296199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T22:54:27.547243Z digest=sha256:611feb74f42308ad1797e3a9424e45116fdb0f1b89261e90180f5b5aced4cfdc

Observation b1f691b0-0e42-4f3f-8d76-d6d840efa9d0 · outbound

This paper cites Physics of Fluids 22(1):015110.

Reinforcement Learning Increases Wind Farm Power Production by Enabling Closed-Loop Collaborative Control Physics of Fluids 22(1):015110

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:54:42.287486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T22:54:27.715224Z digest=sha256:96daad41b770d0dcc381ef117b21cfd7d06b495d721b7941e26a7f0c77bff204

Observation cb682a8e-e5f9-4678-a5da-6a9a41201dbf · outbound

This paper cites In: Kuerten H, Geurts B, Armenio V, et al (eds) Direct and Large-Eddy Simulation VIII.

Reinforcement Learning Increases Wind Farm Power Production by Enabling Closed-Loop Collaborative Control In: Kuerten H, Geurts B, Armenio V, et al (eds) Direct and Large-Eddy Simulation VIII

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:54:42.278070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T22:54:27.885945Z digest=sha256:6f0a6999c9c0eecd29c8896b10918534c5fd78116fc5762568aa090173037b48

Observation 0ceaeaff-a73c-456c-bbd9-c3bac8d91c28 · outbound

This paper cites Physical Review Fluids 9(4):043902.

Reinforcement Learning Increases Wind Farm Power Production by Enabling Closed-Loop Collaborative Control Physical Review Fluids 9(4):043902

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:54:42.267828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T22:54:28.047392Z digest=sha256:2ba6076e17571f6bd3e1121230a05e6288de5741accd5ac22c935fc61047876d

Observation ea5ae774-4a04-4d68-8574-74689bc7d377 · outbound

This paper cites Nature 602(7897):414–419.

Reinforcement Learning Increases Wind Farm Power Production by Enabling Closed-Loop Collaborative Control Nature 602(7897):414–419

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:54:42.258108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T22:54:28.182971Z digest=sha256:925f449ade7493626e726db721e812aa25fb42a13ce609c5715339ec90ffa919

Observation 076495bb-8a9b-4abd-ac79-594398aaf284 · outbound

This paper cites Wind Energy.

Reinforcement Learning Increases Wind Farm Power Production by Enabling Closed-Loop Collaborative Control Wind Energy

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:54:42.248368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T22:54:28.330666Z digest=sha256:25e8ec3a04d83b66e55e50a282036277b827854ded50f704c506a321a719a8c1

Observation 71cbc9bb-2e02-43dd-914f-f161030436d9 · outbound

This paper cites Applied Energy 292:116928.

Reinforcement Learning Increases Wind Farm Power Production by Enabling Closed-Loop Collaborative Control Applied Energy 292:116928

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:54:42.238472Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T22:54:28.474409Z digest=sha256:8952df24ec8c91e7b1c77b9d835d1da99d04b2248dcbd56ac2525321ab5b8bda

Observation 8e7045e1-795a-4564-b85e-c9fb7576f454 · outbound

This paper cites Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences 476(2238):20200097.

Reinforcement Learning Increases Wind Farm Power Production by Enabling Closed-Loop Collaborative Control Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences 476(2238):20200097

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:54:42.228744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T22:54:28.535816Z digest=sha256:25b3d5e04853eb569c11de06c86351df29bc1cf4c0228edb2be7920459648e10

Observation 93358dc2-a0e6-49f0-95b7-c101cdf95f62 · outbound

This paper cites Nature Communications 16(1):1422.

Reinforcement Learning Increases Wind Farm Power Production by Enabling Closed-Loop Collaborative Control Nature Communications 16(1):1422

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:54:42.218771Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T22:54:28.756900Z digest=sha256:5b6c550954c521067c5c619b0653cdfc5c48c4d5bccbb5b37cf89837bc3a7592

Observation 2b6f9913-4362-482d-9141-55155e3878fd · outbound

This paper cites Wind Energy 23(8):1739–1751.

Reinforcement Learning Increases Wind Farm Power Production by Enabling Closed-Loop Collaborative Control Wind Energy 23(8):1739–1751

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:54:42.209475Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T22:54:28.854723Z digest=sha256:62840d9cf3879ad731a015dd03a507a31c335722daf737084a249873216d1010

Observation cb87cd2a-ab88-4055-968f-c41bee3e260d · outbound

This paper cites In: International conference on machine learning, PMLR, pp 1587–1596 18.

Reinforcement Learning Increases Wind Farm Power Production by Enabling Closed-Loop Collaborative Control In: International conference on machine learning, PMLR, pp 1587–1596 18

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:54:42.200456Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T22:54:28.951897Z digest=sha256:e6b115f28096974e77613b6584928a3802a4f340f4fe71ffdf7cc58292f742b6

Observation f2e45bb0-e90b-4bdc-b7ee-8930cde84774 · outbound

This paper cites Nature Communications 14(1):6480.

Reinforcement Learning Increases Wind Farm Power Production by Enabling Closed-Loop Collaborative Control Nature Communications 14(1):6480

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:54:42.190952Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T22:54:29.050890Z digest=sha256:597e3cbb5e07fa3dfb60213a7b0b46795b829fc1b4d0f1afe7658881c1a1799b

Observation bbc78d07-13b7-47a5-bae0-27dcf661127c · outbound

This paper cites Journal of Fluid Mechanics 768:5–50.

Reinforcement Learning Increases Wind Farm Power Production by Enabling Closed-Loop Collaborative Control Journal of Fluid Mechanics 768:5–50

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:54:42.181568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T22:54:29.136179Z digest=sha256:0f4c08ad9bf7a378100063854bd36400592c600b57ca942ae7485589ea38449a

Observation 4a9b2901-f5f5-40bf-b96a-d60780c34f5d · outbound

This paper cites In: International conference on machine learning, PMLR, pp 1861–1870.

Reinforcement Learning Increases Wind Farm Power Production by Enabling Closed-Loop Collaborative Control In: International conference on machine learning, PMLR, pp 1861–1870

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:54:42.172186Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T22:54:29.221592Z digest=sha256:c35dce3cad43a77eacecb74158c82337b32fc2a05b95bdc080e8173a2db6a081

Observation 2592c642-b5f0-4b9f-8b2c-38a157baa8bf · outbound

This paper cites Frontiers in Neurorobotics 17:1127642.

Reinforcement Learning Increases Wind Farm Power Production by Enabling Closed-Loop Collaborative Control Frontiers in Neurorobotics 17:1127642

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:54:42.162922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T22:54:29.327470Z digest=sha256:43e070d967cc0d89cc241f74b75dd2e2ceb08c7f650f7b80548b902a3c96f7dc

Observation 6f495794-cc4c-4df5-80a9-9fcb8ee6d2df · outbound

This paper cites Nature Energy 9(6):735–749.

Reinforcement Learning Increases Wind Farm Power Production by Enabling Closed-Loop Collaborative Control Nature Energy 9(6):735–749

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:54:42.153870Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T22:54:29.413711Z digest=sha256:3fa5d012435987889869b9052ed3cda6f70827ac11ce5529424c1bfaad45099d

Observation 781f7e0b-2d19-42f3-9913-079be44b9906 · outbound

This paper cites International Journal of Electrical Power & Energy Systems 143:108406.

Reinforcement Learning Increases Wind Farm Power Production by Enabling Closed-Loop Collaborative Control International Journal of Electrical Power & Energy Systems 143:108406

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:54:42.143352Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T22:54:29.505467Z digest=sha256:899cfea82e8f0ff12a931eea64388e40b154b37a4dacf40496d6d2c7b5f0eba8

Observation 51d7a3e4-5479-4b98-ae4c-52cabe38ef60 · outbound

This paper cites Wind Energy 25(2):195–220.

Reinforcement Learning Increases Wind Farm Power Production by Enabling Closed-Loop Collaborative Control Wind Energy 25(2):195–220

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:54:42.133293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T22:54:29.602069Z digest=sha256:85664e0033cc9b9d455c32e0688139f1bc7ae4de5fdfaacf8976a17126386177

Observation 5a18cdd9-8602-4b4f-8e15-70a44a046ec0 · outbound

This paper cites MIT Press 2:39–47.

Reinforcement Learning Increases Wind Farm Power Production by Enabling Closed-Loop Collaborative Control MIT Press 2:39–47

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:54:42.122349Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T22:54:29.704516Z digest=sha256:d81b222733add9d0ca42a914ceb4e22cc54c482ddcd428c0c246cd1fb0a57087

Observation 372b7839-10eb-4215-994e-9bd6f4ea9423 · outbound

This paper cites Wind Energy Science 5(4):1315– 1338.

Reinforcement Learning Increases Wind Farm Power Production by Enabling Closed-Loop Collaborative Control Wind Energy Science 5(4):1315– 1338

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:54:42.112108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T22:54:29.806244Z digest=sha256:181e3ff8fb6e9ab6eeba1c50fbe7419591e11250baead0924fef24de0c6c7d8b

Observation 930e0dcc-3e0d-4cde-bc7d-40e9db7b0c72 · outbound

This paper cites Nature Energy 7(9):818–827.

Reinforcement Learning Increases Wind Farm Power Production by Enabling Closed-Loop Collaborative Control Nature Energy 7(9):818–827

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:54:42.102550Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T22:54:29.997085Z digest=sha256:3e4488456b3f999dc3f3bca3c92739273f763026027f9c92bf423f9e12e085cf

Observation a0dde3f7-4e12-4659-b1ce-c284ad6d5c0d · outbound

This paper cites URL https://www.iea.org/reports/net-zero-by-2050.

Reinforcement Learning Increases Wind Farm Power Production by Enabling Closed-Loop Collaborative Control URL https://www.iea.org/reports/net-zero-by-2050

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:54:42.092771Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T22:54:30.112482Z digest=sha256:6b814d1943d458ff5ab2ee6ef24726c98090555a8e7e0a44bf6d71669be054a6

Observation 019d9463-b864-4cfe-b06e-7815643cfb82 · outbound

This paper cites Wind Energy p e2946.

Reinforcement Learning Increases Wind Farm Power Production by Enabling Closed-Loop Collaborative Control Wind Energy p e2946

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:54:42.083478Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T22:54:30.235760Z digest=sha256:98a1bc2e958e030dbc8eb65e637e816940ba26b2205cf2a71eb38c62035599b6

Observation 76467d2b-708d-4ec0-8d40-f52001d59d00 · outbound

This paper cites an unresolved cited work.

Reinforcement Learning Increases Wind Farm Power Production by Enabling Closed-Loop Collaborative Control Unresolved cited work

Reference 34

Resolution
unresolved
raw_fallback, observed 2026-08-06T22:54:42.043950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T22:54:30.324437Z digest=sha256:591690bd5313578761e7b4dbdfcd612d927c40715777c2c3a2fa74a3cc940c02

Observation 2d200abb-0ca2-4625-8f79-b5c2aeab925e · outbound

This paper cites Wind Energy 13(6):559–572.

Reinforcement Learning Increases Wind Farm Power Production by Enabling Closed-Loop Collaborative Control Wind Energy 13(6):559–572

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:54:41.667425Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T22:54:30.454943Z digest=sha256:bc745a4783b68da589c87fe3bfbadd0f26b2d80c214a4b2a3d83dbadf851338a

Observation 042adec8-87c3-43ba-94e5-b90c9f207d5a · outbound

This paper cites Journal of Global optimization 13:455–492.

Reinforcement Learning Increases Wind Farm Power Production by Enabling Closed-Loop Collaborative Control Journal of Global optimization 13:455–492

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:54:41.407360Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T22:54:30.520120Z digest=sha256:850f11d5196ec81b4360ced4ea2d77bbeb38c4e9c565d3232c38eadc4bc165c5

Observation 4a826988-486e-4142-90ee-1de505051dc9 · outbound

This paper cites Wind Energy Science 2(1):115–131.

Reinforcement Learning Increases Wind Farm Power Production by Enabling Closed-Loop Collaborative Control Wind Energy Science 2(1):115–131

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:54:41.216336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T22:54:30.598645Z digest=sha256:eb4379ca07a2d4da4a86dc3cfacfaeeb0b0aa5cd3cbae36d1867b59c0f1a6706

Observation 253c2674-c76f-499c-be34-30a6385f5069 · outbound

This paper cites The International Journal of Robotics Research 32(11):1238–1274 19.

Reinforcement Learning Increases Wind Farm Power Production by Enabling Closed-Loop Collaborative Control The International Journal of Robotics Research 32(11):1238–1274 19

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:54:40.948127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T22:54:30.706064Z digest=sha256:ddae745dfc20e7fd931d1b801f2c425a7959e0660d04c7f909efe3dd1da0ef1b

Observation b1839d3c-6f68-459f-9345-c0ecc26340d0 · outbound

This paper cites Journal of Physics: Conference Series 1934(1):012022.

Reinforcement Learning Increases Wind Farm Power Production by Enabling Closed-Loop Collaborative Control Journal of Physics: Conference Series 1934(1):012022

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:54:40.816755Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T22:54:30.794579Z digest=sha256:447f78e6ae270b76f3672eb93df58e041d985374083baa9a45a350e7830a6c87

Observation 25be18c8-fa34-4f3a-9893-7ed86f3cf74c · outbound

This paper cites Journal of Computational Physics 228:5989–6015.

Reinforcement Learning Increases Wind Farm Power Production by Enabling Closed-Loop Collaborative Control Journal of Computational Physics 228:5989–6015

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:54:40.772515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T22:54:30.884841Z digest=sha256:db20ead14c2984c9aeee64fbc56f8af4e44fe16ba8d8a3819a6efe16d00ee061

Observation b3dfceba-ef70-4825-9073-ba59c1911860 · outbound

This paper cites International Journal for Numerical Methods in Fluids 67:1735–57.

Reinforcement Learning Increases Wind Farm Power Production by Enabling Closed-Loop Collaborative Control International Journal for Numerical Methods in Fluids 67:1735–57

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:54:40.671097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T22:54:30.971797Z digest=sha256:5e4a2760747d7d14cb209d918ba3c2b1f4297d84c26ccb5c4d44e3c8fda3f8ae

Observation 58655d8f-a607-44e7-ab35-9738055d83d2 · outbound

This paper cites arXiv preprint arXiv:150902971.

Reinforcement Learning Increases Wind Farm Power Production by Enabling Closed-Loop Collaborative Control arXiv preprint arXiv:150902971

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:54:40.569754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T22:54:31.080646Z digest=sha256:7c35bac9854a10501dd228b706b41dec5d047c88212667ad3d1d045f129009ee

Observation a13560d8-4cd1-4df4-9d50-3e182e35a782 · outbound

This paper cites Journal of Fluid Mechanics 242:51–78.

Reinforcement Learning Increases Wind Farm Power Production by Enabling Closed-Loop Collaborative Control Journal of Fluid Mechanics 242:51–78

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:54:40.428571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T22:54:31.159146Z digest=sha256:6dcc26bf1a1e3ef3563351c0e2446d05eb923bd01c2de3ebfeb21b1b17dfc32a

Observation dd1008d6-9c49-4d5d-9b7c-1b51d1357187 · outbound

This paper cites Wind Energy 15(2):305–317.

Reinforcement Learning Increases Wind Farm Power Production by Enabling Closed-Loop Collaborative Control Wind Energy 15(2):305–317

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:54:40.328641Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T22:54:31.269032Z digest=sha256:116522d7adbb36f300a9b39b2b07191ddf666f8a559dcf4fcea3151e8826bc91

Observation f6542227-f828-4433-8f2f-496a922dd7ad · outbound

This paper cites Wind Energy Science 7(6):2271–2306.

Reinforcement Learning Increases Wind Farm Power Production by Enabling Closed-Loop Collaborative Control Wind Energy Science 7(6):2271–2306

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:54:40.213936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T22:54:31.382995Z digest=sha256:9913e56a6fd599bd7fa86e60fecc734b3d3a063c529fdeda5355651d0a68d50f

Observation 6c0f696e-83aa-433d-98ba-95c44346bed4 · outbound

This paper cites PhD thesis, Technical University of Denmark.

Reinforcement Learning Increases Wind Farm Power Production by Enabling Closed-Loop Collaborative Control PhD thesis, Technical University of Denmark

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:54:40.075213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T22:54:31.474241Z digest=sha256:02c0013c1162d5af831eb3e302697197e195627fdb41551ec5933f468e0a8a24

Observation 0345547e-4238-4c44-8eb6-77486d6dc071 · outbound

This paper cites arXiv preprint arXiv:13125602.

Reinforcement Learning Increases Wind Farm Power Production by Enabling Closed-Loop Collaborative Control arXiv preprint arXiv:13125602

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:54:39.945418Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T22:54:31.584513Z digest=sha256:110213566d7847c094bb10206a5dfc1ba8317f1bacf662348e9c0bfd8eb4f6c4

Observation b1091ec0-3ea1-448d-9725-ed076e0876dc · outbound

This paper cites nature 518(7540):529–533.

Reinforcement Learning Increases Wind Farm Power Production by Enabling Closed-Loop Collaborative Control nature 518(7540):529–533

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:54:39.813003Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T22:54:31.672200Z digest=sha256:0193ae2f70a99ce49270d60d49903c2976d87b8a383731e7958e20108ae9a2ef

Observation b6e935d6-0a38-4aa1-a74c-19e5caeb3e50 · outbound

This paper cites In: International conference on machine learning, PmLR, pp 1928–1937.

Reinforcement Learning Increases Wind Farm Power Production by Enabling Closed-Loop Collaborative Control In: International conference on machine learning, PmLR, pp 1928–1937

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:54:39.684477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T22:54:31.759296Z digest=sha256:1739bd8acdfa78c2fd85a64945ef2fb69a5d310544386523830f4041acd4eb1a

Observation cc781757-24f9-43a3-b2f2-b244a53308a0 · outbound

This paper cites Flow, Turbulence and Combustion.

Reinforcement Learning Increases Wind Farm Power Production by Enabling Closed-Loop Collaborative Control Flow, Turbulence and Combustion

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:54:39.529830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T22:54:31.849998Z digest=sha256:bf950b4645ac71ba9362c1baaadb86abed037f448126ad08dab9385b598948fc

Observation f2c289ca-40b9-47e6-a0ca-5aa02ad31548 · outbound

This paper cites WFCRL: A Multi-Agent Reinforcement Learning Benchmark for Wind Farm Control.

Reinforcement Learning Increases Wind Farm Power Production by Enabling Closed-Loop Collaborative Control WFCRL: A Multi-Agent Reinforcement Learning Benchmark for Wind Farm Control

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-06T22:54:31.942277Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:54:31.942277Z digest=sha256:1b9883338e9de0f39fbf679dd9d4bbdd57e8e3b7149a185e79192508410acd25

Observation ac896b0c-3fb3-461b-a39d-e9c78f23f0a0 · outbound

This paper cites Energies 11(1):177.

Reinforcement Learning Increases Wind Farm Power Production by Enabling Closed-Loop Collaborative Control Energies 11(1):177

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:54:39.330985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T22:54:32.009404Z digest=sha256:ab1ca5d7135009dfca8799cdc1695a47eec73af753481060ed3109ce3225e653

Observation b3990415-b365-4e2b-9352-4ad24dafd29f · outbound

This paper cites Physics of Fluids 28(2):025112.

Reinforcement Learning Increases Wind Farm Power Production by Enabling Closed-Loop Collaborative Control Physics of Fluids 28(2):025112

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:54:39.119873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T22:54:32.083932Z digest=sha256:6b705c9094286ae6790dd013dd2b8328c708da5edb7cf754828cb783f578da26

Observation 5e586e23-a2b4-4695-a50b-a4fb576b13e6 · outbound

This paper cites Renewable Energy 181:445–456.

Reinforcement Learning Increases Wind Farm Power Production by Enabling Closed-Loop Collaborative Control Renewable Energy 181:445–456

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:54:38.970498Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T22:54:32.164330Z digest=sha256:be4e1504feecc34dada0e02f189ddfaf45679c5bcb664a8d5c475b46d6b83688

Observation 46976d5c-4099-4400-ad77-0547a2f75aa6 · outbound

This paper cites Journal of Computational Science 62:101707.

Reinforcement Learning Increases Wind Farm Power Production by Enabling Closed-Loop Collaborative Control Journal of Computational Science 62:101707

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:54:38.820663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T22:54:32.251159Z digest=sha256:5a6e42737b876f3043fd6f35ef6eed67c21b87e020c84a7773099fe436e443e3

Observation a6120853-8d83-4030-92ad-9a866fa081e8 · outbound

This paper cites Advances in neural information processing systems 32.

Reinforcement Learning Increases Wind Farm Power Production by Enabling Closed-Loop Collaborative Control Advances in neural information processing systems 32

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:54:38.625203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T22:54:32.340622Z digest=sha256:52f758a9168880b504108f45bf05720d9d4746694ec9a0c3e8b468819d9e7861

Observation 51ff2d28-b7f6-48c0-9c2f-38b83bfac996 · outbound

This paper cites Adaptive Computation and Machine Learning, MIT Press, Cambridge, Mass.

Reinforcement Learning Increases Wind Farm Power Production by Enabling Closed-Loop Collaborative Control Adaptive Computation and Machine Learning, MIT Press, Cambridge, Mass

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:54:38.464196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T22:54:32.432190Z digest=sha256:66bec4dcb3ef393d60962ce71b069ffe74241e366efcc41bb04c02892f39c116

Observation 7feccc53-ae93-4484-83ac-ec642169a17b · outbound

This paper cites Energies 14(13):3745.

Reinforcement Learning Increases Wind Farm Power Production by Enabling Closed-Loop Collaborative Control Energies 14(13):3745

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:54:38.322069Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T22:54:32.546508Z digest=sha256:f9d9a66540e069f78caa3161be44141e873d02b5b685b9904c417d315624b975

Observation 25b08fa5-9adc-4a96-a7b8-9c1aad3990d5 · outbound

This paper cites arXiv preprint arXiv:170706347.

Reinforcement Learning Increases Wind Farm Power Production by Enabling Closed-Loop Collaborative Control arXiv preprint arXiv:170706347

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-06T22:54:32.616182Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:54:32.616182Z digest=sha256:9cc8f78bffeca212dca2f3a41cbbdd2aa139bae1405f2e08005d76d848c2d86d

Observation 56a9de49-4686-48b4-bfbf-a9fcd78af037 · outbound

This paper cites Proceedings of the IEEE 104(1):148–175.

Reinforcement Learning Increases Wind Farm Power Production by Enabling Closed-Loop Collaborative Control Proceedings of the IEEE 104(1):148–175

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:54:38.130796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T22:54:32.700003Z digest=sha256:b1ba31efe06e5750355e3d43d3383c2fac611c3edebf01d3f4eff29b0cc28262

Observation 95cb1a89-b8b1-47f6-805f-e004a02be1ac · outbound

This paper cites In: Proceedings of European Wind Energy Conference 2007.

Reinforcement Learning Increases Wind Farm Power Production by Enabling Closed-Loop Collaborative Control In: Proceedings of European Wind Energy Conference 2007

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:54:37.922221Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T22:54:32.803866Z digest=sha256:3157c31a0ac00d0bf96dcc703f4e5cb4750317eb059f7d0af596912915db7d71

Observation 6854cc18-53a9-4137-94e9-db08801c0434 · outbound

This paper cites Monthly Weather Review 91(3):99–164.

Reinforcement Learning Increases Wind Farm Power Production by Enabling Closed-Loop Collaborative Control Monthly Weather Review 91(3):99–164

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:54:37.716944Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T22:54:32.897939Z digest=sha256:9d219f2543da6646ca409d27b03530ff39d9aa39b01cff29c5906f4d65ca9ca9

Observation 2181738f-7f4d-42d0-b2a0-01ea339074fd · outbound

This paper cites In: Pereira F, Burges C, Bottou L, et al (eds) Advances in Neural Information Processing Systems, vol 25.

Reinforcement Learning Increases Wind Farm Power Production by Enabling Closed-Loop Collaborative Control In: Pereira F, Burges C, Bottou L, et al (eds) Advances in Neural Information Processing Systems, vol 25

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:54:37.439850Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T22:54:32.969421Z digest=sha256:bc6bce4ba5887104d9d7402161d2c68106702c8f36626c8c3508e22868e8639a

Observation 152d7109-213f-4618-b2f2-6eb10b478d7d · outbound

This paper cites Journal of Fluids Engineering 124(2):393–399.

Reinforcement Learning Increases Wind Farm Power Production by Enabling Closed-Loop Collaborative Control Journal of Fluids Engineering 124(2):393–399

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:54:37.159620Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T22:54:33.076741Z digest=sha256:e030e18e5cc7b04be53cae269b0e6dda67afae00ad28d4979a7bdfabefa1c56f

Observation 28d72646-ce9a-4d5d-88e4-5915cfd278fe · outbound

This paper cites arXiv preprint arXiv:09123995.

Reinforcement Learning Increases Wind Farm Power Production by Enabling Closed-Loop Collaborative Control arXiv preprint arXiv:09123995

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:54:36.832576Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T22:54:33.191974Z digest=sha256:09780e9214f7be85682bccc45305f920dfcb6a7b9e568afe4f71fef2dea04abd

Observation 30ae87a3-52b4-4a00-8237-a0638e268d92 · outbound

This paper cites Machine learning 3:9–44.

Reinforcement Learning Increases Wind Farm Power Production by Enabling Closed-Loop Collaborative Control Machine learning 3:9–44

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:54:36.555306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T22:54:33.260469Z digest=sha256:ed21c1722f4c162460b889fe7d7a89840c83089d3b5ae7374ebf3106a882d120

Observation fb505935-bd19-4234-bd59-7309dcf4fbc4 · outbound

This paper cites MIT press.

Reinforcement Learning Increases Wind Farm Power Production by Enabling Closed-Loop Collaborative Control MIT press

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:54:36.220282Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T22:54:33.330546Z digest=sha256:699475805640a67ac65379e3b17e9f3bb9ca72ff1fc1d5bc66e5b24daecd07ff

Observation 394b7dab-d8b6-4592-93e4-ce59dc17efbd · outbound

This paper cites In: Proceedings of the AAAI conference on artificial intelligence.

Reinforcement Learning Increases Wind Farm Power Production by Enabling Closed-Loop Collaborative Control In: Proceedings of the AAAI conference on artificial intelligence

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:54:36.068774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T22:54:33.417120Z digest=sha256:23213128e28cffd9686b5590444e976cc2cb1fb8627745141e404c79d68ec31e

Observation c32f09de-26c2-4e52-b201-e950d7092855 · outbound

This paper cites Wind Energy Science 8(7):1071–1131.

Reinforcement Learning Increases Wind Farm Power Production by Enabling Closed-Loop Collaborative Control Wind Energy Science 8(7):1071–1131

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:54:35.895612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T22:54:33.522723Z digest=sha256:c4746e6fd12ff3e9ec8a54ec6175a4a205579ae78dea53487fed2d19a4822b20

Observation b7ab819a-ac4d-427d-940b-572d05c99cff · outbound

This paper cites Physics of Fluids 35(3).

Reinforcement Learning Increases Wind Farm Power Production by Enabling Closed-Loop Collaborative Control Physics of Fluids 35(3)

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:54:35.763697Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T22:54:33.607198Z digest=sha256:78863504636776d77ec2f928046d024878a041f8ee9a9fd24aa01af3e471027b

Observation 9b5dceb9-b1b9-4736-b542-2a88ce5a3c9d · outbound

This paper cites Energy Conversion and Management 337:119888.

Reinforcement Learning Increases Wind Farm Power Production by Enabling Closed-Loop Collaborative Control Energy Conversion and Management 337:119888

Reference 71

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 8a711f2a-ab75-4617-a017-0330d3654563 · outbound

This paper cites Machine learning 8:279–292.

Reinforcement Learning Increases Wind Farm Power Production by Enabling Closed-Loop Collaborative Control Machine learning 8:279–292

Reference 72

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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This paper cites an unresolved cited work.

Reinforcement Learning Increases Wind Farm Power Production by Enabling Closed-Loop Collaborative Control Unresolved cited work

Reference 73

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation d4495f91-eabf-4b5e-9b5c-b45e9a215483 · outbound

This paper cites Renewable Energy 75:945–955.

Reinforcement Learning Increases Wind Farm Power Production by Enabling Closed-Loop Collaborative Control Renewable Energy 75:945–955

Reference 74

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation bae639cc-9890-4233-8316-735615d84dd0 · outbound

This paper cites Journal of Fluid Mechanics 981:A17.

Reinforcement Learning Increases Wind Farm Power Production by Enabling Closed-Loop Collaborative Control Journal of Fluid Mechanics 981:A17

Reference 75

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation f127f1fc-7feb-4583-97a7-b7908ee1235e · outbound

This paper cites Real-time digital optimisation and decision making for energy and transport systems.

Reinforcement Learning Increases Wind Farm Power Production by Enabling Closed-Loop Collaborative Control Real-time digital optimisation and decision making for energy and transport systems

Reference 76

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Pith citing papers

Observation 2de456d0-a76c-44b5-8632-766cdfb9de99 · inbound

Three-dimensional Navier-Stokes-Biot coupling via a moving reticular plate interface: existence of weak solutions cites this paper.

Three-dimensional Navier-Stokes-Biot coupling via a moving reticular plate interface: existence of weak solutions Reinforcement Learning Increases Wind Farm Power Production by Enabling Closed-Loop Collaborative Control

Reference 16

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation a749bbce-7144-4030-ac69-81e57bd8bf83 · inbound

Adversarial Sensor Errors for Safe and Robust Wind Turbine Fleet Control cites this paper.

Adversarial Sensor Errors for Safe and Robust Wind Turbine Fleet Control Reinforcement Learning Increases Wind Farm Power Production by Enabling Closed-Loop Collaborative Control

Reference 5

Resolution
verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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