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Paper Citation Record · LEDGER

Post-processing of ensemble photovoltaic power forecasts with distributional and quantile regression methods

As of 20 August 2026, this Paper Citation Record lists 82 of 82 outbound references and 0 inbound Pith citation observations for arXiv:2508.15508.

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

pith.paper-citation-record.v1
2508.15508 v1

Coverage vector

measured 82 of 82 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T17:52:51.895779Z

measured 82 of 82 standing notices

One-hop event checks from named stored sources.

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

82 of 82 outbound references displayed

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  • verified fuzzy65
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b6a0aede-ef2d-463b-975e-0be411be1f74 · outbound

This paper cites and Koyama, M.

Post-processing of ensemble photovoltaic power forecasts with distributional and quantile regression methods and Koyama, M

Reference 1

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Source-reported events for the cited work

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Observation b85655e3-4ef2-47b1-a4bd-22f7cfde330b · outbound

This paper cites and Schmeits, M.

Post-processing of ensemble photovoltaic power forecasts with distributional and quantile regression methods and Schmeits, M

Reference 2

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation acb175b4-873d-4d35-b3df-256f91f5729f · outbound

This paper cites and Baran, S.

Post-processing of ensemble photovoltaic power forecasts with distributional and quantile regression methods and Baran, S

Reference 3

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Observation 1641e0c1-0991-4a1e-ac25-183712fb52b3 · outbound

This paper cites and Lerch, S.

Post-processing of ensemble photovoltaic power forecasts with distributional and quantile regression methods and Lerch, S

Reference 4

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Observation abd6e6c1-63da-4174-bd20-b3a0e22a651e · outbound

This paper cites C., Cuevas, O., D\' az, M., Szab\'o, M., Nicolis, O.

Post-processing of ensemble photovoltaic power forecasts with distributional and quantile regression methods C., Cuevas, O., D\' az, M., Szab\'o, M., Nicolis, O

Reference 5

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Observation 4ab86fa8-154a-490d-8a5b-9c41de160835 · outbound

This paper cites and Nemoda, D.

Post-processing of ensemble photovoltaic power forecasts with distributional and quantile regression methods and Nemoda, D

Reference 6

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Observation 396a3c7d-968e-40a4-ba5f-72bc953fead0 · outbound

This paper cites and Hochberg, Y.

Post-processing of ensemble photovoltaic power forecasts with distributional and quantile regression methods and Hochberg, Y

Reference 7

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Observation 401fffeb-a26b-43a9-a2a6-b64b1ccd60cb · outbound

This paper cites and Tian, Q.

Post-processing of ensemble photovoltaic power forecasts with distributional and quantile regression methods and Tian, Q

Reference 8

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Source-reported events for the cited work

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Observation d51fd9b2-9995-45dd-b12b-58850b56b553 · outbound

This paper cites an unresolved cited work.

Post-processing of ensemble photovoltaic power forecasts with distributional and quantile regression methods Unresolved cited work

Reference 9

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Source-reported events for the cited work

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Observation 8c88c0f5-665b-4af2-8ad4-7b8117a06b2c · outbound

This paper cites B., Nipen, T.

Post-processing of ensemble photovoltaic power forecasts with distributional and quantile regression methods B., Nipen, T

Reference 10

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Observation 42bb8a08-f6d9-43be-bb2b-b0bfc3fbeeb0 · outbound

This paper cites (2009) Reliability, sufficiency, and the decomposition of proper scores.

Post-processing of ensemble photovoltaic power forecasts with distributional and quantile regression methods (2009) Reliability, sufficiency, and the decomposition of proper scores

Reference 11

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Observation 313272b2-7ee7-4e8a-994c-95cbfc51e959 · outbound

This paper cites (2012) Evaluating raw ensembles with the continuous ranked probability score.

Post-processing of ensemble photovoltaic power forecasts with distributional and quantile regression methods (2012) Evaluating raw ensembles with the continuous ranked probability score

Reference 12

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Observation 727a5b75-739f-4bcc-b735-c22121d2fc84 · outbound

This paper cites (2018) Ensemble forecasting and the need for calibration.

Post-processing of ensemble photovoltaic power forecasts with distributional and quantile regression methods (2018) Ensemble forecasting and the need for calibration

Reference 13

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Observation 5579d140-d8ed-4d60-9d00-69ef5dcf2a07 · outbound

This paper cites and Lerch, S.

Post-processing of ensemble photovoltaic power forecasts with distributional and quantile regression methods and Lerch, S

Reference 14

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Observation 87db2073-5d7e-425d-ad4c-04440372bb0d · outbound

This paper cites an unresolved cited work.

Post-processing of ensemble photovoltaic power forecasts with distributional and quantile regression methods Unresolved cited work

Reference 15

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Observation 9d4b7f32-3414-4cb6-99d4-ba0697cbca4c · outbound

This paper cites and Beckman, W.

Post-processing of ensemble photovoltaic power forecasts with distributional and quantile regression methods and Beckman, W

Reference 16

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Observation 251e3b50-eefb-4d03-a333-b664b893750d · outbound

This paper cites P., Zhou, Y., Deng, X.

Post-processing of ensemble photovoltaic power forecasts with distributional and quantile regression methods P., Zhou, Y., Deng, X

Reference 17

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Observation f4c098a1-a721-46bf-b8a2-a039375c5c9d · outbound

This paper cites and Vannitsem, S.

Post-processing of ensemble photovoltaic power forecasts with distributional and quantile regression methods and Vannitsem, S

Reference 18

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Observation 5a33b1de-3535-44c5-b458-dcbdc37c4719 · outbound

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Post-processing of ensemble photovoltaic power forecasts with distributional and quantile regression methods Unresolved cited work

Reference 19

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Observation 4ff7daeb-3e13-4500-9177-4d29cc005192 · outbound

This paper cites and Harrison, S.

Post-processing of ensemble photovoltaic power forecasts with distributional and quantile regression methods and Harrison, S

Reference 20

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Observation c64e332a-02f3-4e42-8e43-a0808208e382 · outbound

This paper cites (2011) Making and evaluating point forecasts.

Post-processing of ensemble photovoltaic power forecasts with distributional and quantile regression methods (2011) Making and evaluating point forecasts

Reference 21

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Post-processing of ensemble photovoltaic power forecasts with distributional and quantile regression methods and Schulz, B

Reference 22

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Observation c3e6089f-72c3-4a59-89df-12bde1e9ee73 · outbound

This paper cites and Raftery, A.

Post-processing of ensemble photovoltaic power forecasts with distributional and quantile regression methods and Raftery, A

Reference 23

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Observation 6bfd17de-01da-45bb-b811-e9d625e832d7 · outbound

This paper cites E., Westveld, A.

Post-processing of ensemble photovoltaic power forecasts with distributional and quantile regression methods E., Westveld, A

Reference 24

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Observation 4d54275e-53eb-4a51-be13-5932e6d2e96e · outbound

This paper cites and Ranjan, R.

Post-processing of ensemble photovoltaic power forecasts with distributional and quantile regression methods and Ranjan, R

Reference 25

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation b91cda20-309c-4103-83a6-5ff98f73d929 · outbound

This paper cites I., Lerch, S., Phipps, K.

Post-processing of ensemble photovoltaic power forecasts with distributional and quantile regression methods I., Lerch, S., Phipps, K

Reference 26

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This paper cites E., Chapman, W., Adams, S.

Post-processing of ensemble photovoltaic power forecasts with distributional and quantile regression methods E., Chapman, W., Adams, S

Reference 27

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Post-processing of ensemble photovoltaic power forecasts with distributional and quantile regression methods Unresolved cited work

Reference 28

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Post-processing of ensemble photovoltaic power forecasts with distributional and quantile regression methods (2000) Decomposition of the continuous ranked probability score for ensemble prediction systems

Reference 29

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Observation 949349a7-717a-4f0d-a72a-969bbf91175c · outbound

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Post-processing of ensemble photovoltaic power forecasts with distributional and quantile regression methods and Zareipour, H

Reference 30

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation e89177d5-9ad5-4269-90da-2f20742d6c27 · outbound

This paper cites and Lerch, S.

Post-processing of ensemble photovoltaic power forecasts with distributional and quantile regression methods and Lerch, S

Reference 31

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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This paper cites and Lerch, S.

Post-processing of ensemble photovoltaic power forecasts with distributional and quantile regression methods and Lerch, S

Reference 32

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-05T17:52:46.598057Z digest=sha256:f1b1b83e65bac040c30d6bc615e73df6afb4c238582a5720cdc8f352872ebd5e

Observation 600ebb24-5bcf-4d30-9498-1dbd831bca45 · outbound

This paper cites (2005) Quantile Regression.

Post-processing of ensemble photovoltaic power forecasts with distributional and quantile regression methods (2005) Quantile Regression

Reference 33

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation ebed0cf3-2a9b-4782-938e-61e521682e45 · outbound

This paper cites (2020) Why the “best” point forecast depends on the error or accuracy measure.

Post-processing of ensemble photovoltaic power forecasts with distributional and quantile regression methods (2020) Why the “best” point forecast depends on the error or accuracy measure

Reference 34

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 018ca06a-7709-40b6-9b7b-0eaae444fb5f · outbound

This paper cites and Gneiting, T.

Post-processing of ensemble photovoltaic power forecasts with distributional and quantile regression methods and Gneiting, T

Reference 35

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation c4b3d6c4-234a-4087-b973-a0f9ab78ce35 · outbound

This paper cites and Battaglia, P.

Post-processing of ensemble photovoltaic power forecasts with distributional and quantile regression methods and Battaglia, P

Reference 36

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation fcf355fb-74e8-4fbb-99f9-29d0f9925b86 · outbound

This paper cites AIFS -- ECMWF's data-driven forecasting system.

Post-processing of ensemble photovoltaic power forecasts with distributional and quantile regression methods AIFS -- ECMWF's data-driven forecasting system

Reference 37

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T17:52:47.032502Z digest=sha256:3c94bbf8bc23a9b36c03e702fb31f71b935e2150f846f56191dd825dd5895190

Observation 33f78a23-dd9c-43b4-ab3c-08568a3d9b8d · outbound

This paper cites AIFS-CRPS: Ensemble forecasting using a model trained with a loss function based on the Continuous Ranked Probability Score.

Post-processing of ensemble photovoltaic power forecasts with distributional and quantile regression methods AIFS-CRPS: Ensemble forecasting using a model trained with a loss function based on the Continuous Ranked Probability Score

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-05T17:52:47.125378Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation ad4db6d4-ffc3-49c3-b1f7-bf907bb15f2c · outbound

This paper cites and Pinson, P.

Post-processing of ensemble photovoltaic power forecasts with distributional and quantile regression methods and Pinson, P

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:52:53.888601Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 8a4df9e0-def1-4b7c-90bf-23a5068327c2 · outbound

This paper cites and Lauret, P.

Post-processing of ensemble photovoltaic power forecasts with distributional and quantile regression methods and Lauret, P

Reference 40

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 9061962e-aeb5-45bd-87bf-ea16bde9d464 · outbound

This paper cites an unresolved cited work.

Post-processing of ensemble photovoltaic power forecasts with distributional and quantile regression methods Unresolved cited work

Reference 41

Resolution
unresolved
raw_fallback, observed 2026-08-05T17:52:53.862496Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation d8486ea8-df2e-43b5-b550-017b896b6002 · outbound

This paper cites and Ruiz, J.

Post-processing of ensemble photovoltaic power forecasts with distributional and quantile regression methods and Ruiz, J

Reference 42

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 3c059388-15ed-4a0a-923e-56d8f00e413d · outbound

This paper cites and Poggi, P.

Post-processing of ensemble photovoltaic power forecasts with distributional and quantile regression methods and Poggi, P

Reference 43

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation d98c10b0-0420-4ffe-8077-b8ba7730e635 · outbound

This paper cites an unresolved cited work.

Post-processing of ensemble photovoltaic power forecasts with distributional and quantile regression methods Unresolved cited work

Reference 44

Resolution
unresolved
raw_fallback, observed 2026-08-05T17:52:53.825316Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 4e8c4b89-5755-4ece-84f8-f94249ca410a · outbound

This paper cites an unresolved cited work.

Post-processing of ensemble photovoltaic power forecasts with distributional and quantile regression methods Unresolved cited work

Reference 45

Resolution
unresolved
raw_fallback, observed 2026-08-05T17:52:53.812900Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation b94391a1-e7c0-4c14-a3f6-562b94a5c981 · outbound

This paper cites Applied Energy, 283, 116239.

Post-processing of ensemble photovoltaic power forecasts with distributional and quantile regression methods Applied Energy, 283, 116239

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:52:53.799874Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-05T17:52:47.775915Z digest=sha256:c58ed4db812a4d1b8f2cfe112ac89d275dd8862203326ce2abe1135e221c7a77

Observation b55df5b6-0a84-462a-bc76-b6c9a755d0bf · outbound

This paper cites an unresolved cited work.

Post-processing of ensemble photovoltaic power forecasts with distributional and quantile regression methods Unresolved cited work

Reference 47

Resolution
unresolved
raw_fallback, observed 2026-08-05T17:52:53.787327Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-05T17:52:47.861338Z digest=sha256:8ea827425e121fa14627e7746bfc8ed81e508b2f6759d63bf2984a5ac1b637db

Observation ae7f3fe6-cc6f-4592-83c6-746c0d5f3710 · outbound

This paper cites International Journal of Forecasting, 39, 981--991.

Post-processing of ensemble photovoltaic power forecasts with distributional and quantile regression methods International Journal of Forecasting, 39, 981--991

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:52:53.774464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 2ab86ebf-4d4f-42bd-aef1-667e7d8d1949 · outbound

This paper cites Applied Energy, 371, 123681.

Post-processing of ensemble photovoltaic power forecasts with distributional and quantile regression methods Applied Energy, 371, 123681

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:52:53.761776Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-05T17:52:47.994851Z digest=sha256:7c29dbb02e8645c3ecc8c2229fa66a6b3af24caa09d12dcc78185a11d8b75b6c

Observation 3bb53e85-38f9-4ce9-8d43-fb1e57c56077 · outbound

This paper cites W., Mayr, G.

Post-processing of ensemble photovoltaic power forecasts with distributional and quantile regression methods W., Mayr, G

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:52:53.749432Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 62d45c39-c4e7-4d5c-a856-f1c13713b8d4 · outbound

This paper cites Monthly Weather Review, 145, 137--147.

Post-processing of ensemble photovoltaic power forecasts with distributional and quantile regression methods Monthly Weather Review, 145, 137--147

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:52:53.736968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-05T17:52:48.169544Z digest=sha256:1df9692c1107b97da6313747d4f2fec432fa70a27747df4c1463f771f9161918

Observation 08cb86e9-f04b-4254-985f-fd530aad3696 · outbound

This paper cites and Faganeli Pucer, J.

Post-processing of ensemble photovoltaic power forecasts with distributional and quantile regression methods and Faganeli Pucer, J

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:52:53.724031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-05T17:52:48.262430Z digest=sha256:a59c10353e36eaab9778c5409e03fb006bbfe0625881a20ec941156b0d88ef4a

Observation 82efca96-03f6-4016-b01f-5ac56c26085b · outbound

This paper cites and Stewart, R.

Post-processing of ensemble photovoltaic power forecasts with distributional and quantile regression methods and Stewart, R

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:52:53.711256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-05T17:52:48.320256Z digest=sha256:10fdbf201029de67960469d393bc6dd9af3ca2fca3486936ef46f14a3a55e1c5

Observation 62004eb6-1148-411d-84c5-5655dca129d8 · outbound

This paper cites and Ludwig, N.

Post-processing of ensemble photovoltaic power forecasts with distributional and quantile regression methods and Ludwig, N

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:52:53.698718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-05T17:52:48.392390Z digest=sha256:5260cbaba4dc4ffb253d26ae2a1675156514bc2f56dffc2c83eca38f70e2d99c

Observation cb0aee6e-d240-4665-a868-af02908ca368 · outbound

This paper cites an unresolved cited work.

Post-processing of ensemble photovoltaic power forecasts with distributional and quantile regression methods Unresolved cited work

Reference 55

Resolution
unresolved
raw_fallback, observed 2026-08-05T17:52:53.686088Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-05T17:52:48.401804Z digest=sha256:cf4d5bdff9c47fe4897a10ffb23205479b6f042430c4a3643919e5997c1d7496

Observation bce0190f-68d2-4f69-be3a-dce7b04aee35 · outbound

This paper cites R., El-Kadi, A., Masters, D., Ewalds, T., Stott, J., Mohamed, S., Battaglia, P., Lam, R.

Post-processing of ensemble photovoltaic power forecasts with distributional and quantile regression methods R., El-Kadi, A., Masters, D., Ewalds, T., Stott, J., Mohamed, S., Battaglia, P., Lam, R

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:52:53.673848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 7ca2af4a-5aa7-4a78-9793-ddf503adff8a · outbound

This paper cites and Lerch, S.

Post-processing of ensemble photovoltaic power forecasts with distributional and quantile regression methods and Lerch, S

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:52:53.661637Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 436bd525-d528-4623-a969-46c340dd2478 · outbound

This paper cites and Andreas, A.

Post-processing of ensemble photovoltaic power forecasts with distributional and quantile regression methods and Andreas, A

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:52:53.649132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation f573a161-0176-42a6-bbee-4e3a20f3dfc9 · outbound

This paper cites J., Mendiburu Zevallos, A.

Post-processing of ensemble photovoltaic power forecasts with distributional and quantile regression methods J., Mendiburu Zevallos, A

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:52:53.636521Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-05T17:52:48.861144Z digest=sha256:4597fef4fa757dcd1661b29e05e704bff06dec33c1f61f6d91f931a79b3f96ea

Observation 5d39fd39-c56e-420d-a980-a49cbcc286a1 · outbound

This paper cites (2014) Probabilistic quantitative precipitation forecasting using ensemble model output statistics.

Post-processing of ensemble photovoltaic power forecasts with distributional and quantile regression methods (2014) Probabilistic quantitative precipitation forecasting using ensemble model output statistics

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:52:53.623616Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-05T17:52:48.976079Z digest=sha256:ec3cd9003499e2617c29b769948db101fab5fedbd698029ca4bfa8a57f06a876

Observation 55860af4-9b5e-4078-802d-d15b3148f800 · outbound

This paper cites and Baran, S.

Post-processing of ensemble photovoltaic power forecasts with distributional and quantile regression methods and Baran, S

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:52:53.611340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-05T17:52:49.089406Z digest=sha256:b3829b901040eff6346c1b0f78f47e70769d8345239b586186abf016af2dc503

Observation c2df90cf-44eb-4ef0-828c-a6fba71ddef3 · outbound

This paper cites Aggregating distribution forecasts from deep ensembles.

Post-processing of ensemble photovoltaic power forecasts with distributional and quantile regression methods Aggregating distribution forecasts from deep ensembles

Reference 62

Resolution
verified exact
local_arxiv, observed 2026-08-05T17:52:52.283739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 4300ebfe-2df1-45c3-8794-3ca6319ccb45 · outbound

This paper cites and Lerch, S.

Post-processing of ensemble photovoltaic power forecasts with distributional and quantile regression methods and Lerch, S

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:52:53.599167Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-05T17:52:49.364257Z digest=sha256:182fe92de603885e9b6a153253f8b8ea2451e9273455d84e5fe2ab34b1f43865

Observation 1d0ef948-8453-4c2a-a559-bafc2ea8661d · outbound

This paper cites M., Bright, J.

Post-processing of ensemble photovoltaic power forecasts with distributional and quantile regression methods M., Bright, J

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:52:53.587028Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-05T17:52:49.521420Z digest=sha256:a736f02e397416dc38377e2bf6db1092e410d4da43e03c11977fb8d0340b0e72

Observation c4c9f599-36e6-4f4f-b1d4-8dae4b8aade0 · outbound

This paper cites and Naveau, P.

Post-processing of ensemble photovoltaic power forecasts with distributional and quantile regression methods and Naveau, P

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:52:53.574702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-05T17:52:49.591300Z digest=sha256:806ae581eee2994fc2bfe9a7eb71255a0311ea405f0b333143929af62a3e0899

Observation c675217e-8b51-4bff-9667-575e738063ff · outbound

This paper cites an unresolved cited work.

Post-processing of ensemble photovoltaic power forecasts with distributional and quantile regression methods Unresolved cited work

Reference 66

Resolution
unresolved
raw_fallback, observed 2026-08-05T17:52:53.561797Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-05T17:52:49.706124Z digest=sha256:b7fc0185340294dc7113f12fd4aca00c01973eeb0a75d74ad93d4bfc88a9d8df

Observation e38c08e4-be7a-49a9-9d59-32d37d6f4b4f · outbound

This paper cites and Georghiou, G.

Post-processing of ensemble photovoltaic power forecasts with distributional and quantile regression methods and Georghiou, G

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:52:53.549901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-05T17:52:49.844949Z digest=sha256:891880f50dd42e13101a13bf75c1b6d612c15508a8839ffc26750ba54847db3a

Observation 3b96498e-4415-48d4-97cb-41db4aaf9a50 · outbound

This paper cites an unresolved cited work.

Post-processing of ensemble photovoltaic power forecasts with distributional and quantile regression methods Unresolved cited work

Reference 68

Resolution
unresolved
raw_fallback, observed 2026-08-05T17:52:53.537995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-05T17:52:49.985409Z digest=sha256:268c3d9a2795644f50b29831f14751da5cb43cd5ac2dd9f7231aab1e51cbd021

Observation a199e7c3-51c8-4c56-9a77-921937e7c448 · outbound

This paper cites and Vannitsem, S.

Post-processing of ensemble photovoltaic power forecasts with distributional and quantile regression methods and Vannitsem, S

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:52:53.525237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-05T17:52:50.141415Z digest=sha256:0d336e9d7c675a87a3e768dd4428ec7bfbfcaab748937f9c2fee8ee1e3e87045

Observation cc5521a5-4452-4d59-bde2-89af9ee27af9 · outbound

This paper cites B., Demaeyer, J., Evans, G.

Post-processing of ensemble photovoltaic power forecasts with distributional and quantile regression methods B., Demaeyer, J., Evans, G

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:52:53.513394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-05T17:52:50.246633Z digest=sha256:89812aa79fa0cd7d4644d0b7e1efea88bd54a08547f054e7c81fd1ae2788126f

Observation 300f6ae8-9faa-4f48-99a9-a09fe8914b10 · outbound

This paper cites and Kleissl, J.

Post-processing of ensemble photovoltaic power forecasts with distributional and quantile regression methods and Kleissl, J

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:52:53.500698Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-05T17:52:50.321323Z digest=sha256:71ef1aa0351710b61166a203dce7ac7866833dea0934c209f647e60c62210a82

Observation daeeae21-1af0-45e6-97d7-b0961e82a057 · outbound

This paper cites The Stippling Shows Statistically Significant Grid Points.

Post-processing of ensemble photovoltaic power forecasts with distributional and quantile regression methods The Stippling Shows Statistically Significant Grid Points

Reference 72

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This paper cites Amsterdam: Elsevier, 4th edn.

Post-processing of ensemble photovoltaic power forecasts with distributional and quantile regression methods Amsterdam: Elsevier, 4th edn

Reference 73

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This paper cites (2016) Solar radiation on inclined surfaces: Corrections and benchmarks.

Post-processing of ensemble photovoltaic power forecasts with distributional and quantile regression methods (2016) Solar radiation on inclined surfaces: Corrections and benchmarks

Reference 74

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This paper cites Journal of Renewable and Sustainable Energy, 13, 056101.

Post-processing of ensemble photovoltaic power forecasts with distributional and quantile regression methods Journal of Renewable and Sustainable Energy, 13, 056101

Reference 75

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This paper cites Renewable and Sustainable Energy Reviews, 159, 112195.

Post-processing of ensemble photovoltaic power forecasts with distributional and quantile regression methods Renewable and Sustainable Energy Reviews, 159, 112195

Reference 76

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This paper cites J., Gueymard, C.

Post-processing of ensemble photovoltaic power forecasts with distributional and quantile regression methods J., Gueymard, C

Reference 77

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This paper cites and van der Meer, D.

Post-processing of ensemble photovoltaic power forecasts with distributional and quantile regression methods and van der Meer, D

Reference 78

Resolution
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This paper cites A., Hong, T., Kleissl, J., Huang, J., Perez, M.

Post-processing of ensemble photovoltaic power forecasts with distributional and quantile regression methods A., Hong, T., Kleissl, J., Huang, J., Perez, M

Reference 79

Resolution
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This paper cites and Xia, X.

Post-processing of ensemble photovoltaic power forecasts with distributional and quantile regression methods and Xia, X

Reference 80

Resolution
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This paper cites and Mayer, M.

Post-processing of ensemble photovoltaic power forecasts with distributional and quantile regression methods and Mayer, M

Reference 81

Resolution
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This paper cites FuXi-2.0: Advancing machine learning weather forecasting model for practical applications.

Post-processing of ensemble photovoltaic power forecasts with distributional and quantile regression methods FuXi-2.0: Advancing machine learning weather forecasting model for practical applications

Reference 82

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