Data fusion of complementary data sources using Machine Learning enables higher accuracy Solar Resource Maps | Paper Citation Record

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Data fusion of complementary data sources using Machine Learning enables higher accuracy Solar Resource Maps Unresolved cited work

Reference 1

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Data fusion of complementary data sources using Machine Learning enables higher accuracy Solar Resource Maps Unresolved cited work

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Observation 46ac6101-2b95-42da-95d0-3605b1f7cd66 · outbound

This paper cites & Alvarado, R.

Data fusion of complementary data sources using Machine Learning enables higher accuracy Solar Resource Maps & Alvarado, R

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:38:47.023917Z

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This paper cites & Bandoc, G.

Data fusion of complementary data sources using Machine Learning enables higher accuracy Solar Resource Maps & Bandoc, G

Reference 4

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Observation c51d58d9-0ac8-46cb-8e41-ec10a8209692 · outbound

This paper cites C., Hinkley, J., Burmester, D.

Data fusion of complementary data sources using Machine Learning enables higher accuracy Solar Resource Maps C., Hinkley, J., Burmester, D

Reference 5

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Observation 5c736d2e-5d1c-4cf3-955c-34fce842351e · outbound

This paper cites Global solar atlas 2.0 technical report.

Data fusion of complementary data sources using Machine Learning enables higher accuracy Solar Resource Maps Global solar atlas 2.0 technical report

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:38:46.977808Z

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Observation 05b2ba4f-3489-4ff5-9b46-9caef6783052 · outbound

This paper cites P., e Silva, F.

Data fusion of complementary data sources using Machine Learning enables higher accuracy Solar Resource Maps P., e Silva, F

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:38:46.961883Z

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Observation e2d4ed6d-ec01-4bdc-a5c1-84eb09442701 · outbound

This paper cites & Šúri, M.

Data fusion of complementary data sources using Machine Learning enables higher accuracy Solar Resource Maps & Šúri, M

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:38:46.947651Z

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Observation d42fafce-b929-45ac-8b61-ddbd25e3df12 · outbound

This paper cites & Suri, M.

Data fusion of complementary data sources using Machine Learning enables higher accuracy Solar Resource Maps & Suri, M

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:38:46.931986Z

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Observation 5cee63bc-b235-432c-978b-6cda42148644 · outbound

This paper cites M., Polo, J., Martín, L.

Data fusion of complementary data sources using Machine Learning enables higher accuracy Solar Resource Maps M., Polo, J., Martín, L

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:38:46.916737Z

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Observation 9ee2b371-1946-46ad-aa55-72324281f73b · outbound

This paper cites & Gueymard, C.

Data fusion of complementary data sources using Machine Learning enables higher accuracy Solar Resource Maps & Gueymard, C

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:38:46.901946Z

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Observation d408e287-3c51-47e6-8c39-78025cbf6bc8 · outbound

This paper cites F., Bressan, M.

Data fusion of complementary data sources using Machine Learning enables higher accuracy Solar Resource Maps F., Bressan, M

Reference 12

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Observation 8bf15910-4720-4e28-b1b9-f80d71a0bba5 · outbound

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Data fusion of complementary data sources using Machine Learning enables higher accuracy Solar Resource Maps Unresolved cited work

Reference 13

Resolution: unresolved; raw_fallback, observed 2026-08-10T21:38:46.872000Z

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Observation 3594280e-12b8-4c98-8e2e-57c711acfdce · outbound

This paper cites & Campana, P.

Data fusion of complementary data sources using Machine Learning enables higher accuracy Solar Resource Maps & Campana, P

Reference 14

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Data fusion of complementary data sources using Machine Learning enables higher accuracy Solar Resource Maps Unresolved cited work

Reference 15

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Observation 21809704-5401-434e-9df1-44b2de94861a · outbound

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Data fusion of complementary data sources using Machine Learning enables higher accuracy Solar Resource Maps Unresolved cited work

Reference 16

Resolution: unresolved; raw_fallback, observed 2026-08-10T21:38:46.827717Z

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Observation e8ff7800-d597-4d1f-a6dc-0a5b725a7025 · outbound

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Data fusion of complementary data sources using Machine Learning enables higher accuracy Solar Resource Maps Unresolved cited work

Reference 17

Resolution: unresolved; raw_fallback, observed 2026-08-10T21:38:46.813225Z

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Observation 33b17225-a805-4cfe-8579-2ed2f415f0c8 · outbound

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Data fusion of complementary data sources using Machine Learning enables higher accuracy Solar Resource Maps Unresolved cited work

Reference 18

Resolution: unresolved; raw_fallback, observed 2026-08-10T21:38:46.798566Z

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Observation e7cd9317-a573-4fe9-8141-3a9b228442cc · outbound

This paper cites & Milagro-Pérez, M.

Data fusion of complementary data sources using Machine Learning enables higher accuracy Solar Resource Maps & Milagro-Pérez, M

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:38:46.783851Z

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Observation 2180eb35-d691-47f7-bb0b-818fa1e113f1 · outbound

This paper cites & Festa, R.

Data fusion of complementary data sources using Machine Learning enables higher accuracy Solar Resource Maps & Festa, R

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:38:46.769854Z

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Data fusion of complementary data sources using Machine Learning enables higher accuracy Solar Resource Maps Unresolved cited work

Reference 21

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Observation 558fd0c9-fcff-4cdc-be85-150722add2df · outbound

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Data fusion of complementary data sources using Machine Learning enables higher accuracy Solar Resource Maps Unresolved cited work

Reference 22

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Observation 0f4b1194-f6e1-4525-8ab1-bc390ab311a7 · outbound

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Data fusion of complementary data sources using Machine Learning enables higher accuracy Solar Resource Maps Unresolved cited work

Reference 23

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Observation e2430794-e7f1-486b-95b1-e6c5be0e6091 · outbound

This paper cites & Trentmann, J.

Data fusion of complementary data sources using Machine Learning enables higher accuracy Solar Resource Maps & Trentmann, J

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:38:46.725323Z

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Observation 6cf78417-4b82-4fb6-818b-a571c6330b11 · outbound

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Data fusion of complementary data sources using Machine Learning enables higher accuracy Solar Resource Maps Unresolved cited work

Reference 25

Resolution: unresolved; raw_fallback, observed 2026-08-10T21:38:46.710366Z

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Observation 5d1e5820-e4b0-49fd-85a3-08f7a16f2e3b · outbound

This paper cites M., Stackhouse Jr, P.

Data fusion of complementary data sources using Machine Learning enables higher accuracy Solar Resource Maps M., Stackhouse Jr, P

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:38:46.689458Z

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This paper cites & Philipona, R.

Data fusion of complementary data sources using Machine Learning enables higher accuracy Solar Resource Maps & Philipona, R

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:38:46.673197Z

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Observation be83212b-7d68-4f05-bd9f-08faa0df2dba · outbound

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Data fusion of complementary data sources using Machine Learning enables higher accuracy Solar Resource Maps Unresolved cited work

Reference 28

Resolution: unresolved; raw_fallback, observed 2026-08-10T21:38:46.658094Z

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Observation b034981a-4640-40da-9651-f557b6943883 · outbound

This paper cites & Pfeifroth, U.

Data fusion of complementary data sources using Machine Learning enables higher accuracy Solar Resource Maps & Pfeifroth, U

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:38:46.642482Z

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Observation 8dc94a0d-56f8-462e-8322-d52f65a416a5 · outbound

This paper cites O., Grini, S.

Data fusion of complementary data sources using Machine Learning enables higher accuracy Solar Resource Maps O., Grini, S

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:38:46.627194Z

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Observation d2bf7162-ed18-4a4f-88b7-46bcf4c1d6a9 · outbound

This paper cites & Berge, E.

Data fusion of complementary data sources using Machine Learning enables higher accuracy Solar Resource Maps & Berge, E

Reference 31

Resolution: verified exact; doi, observed 2026-08-10T21:38:46.138174Z

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Observation 5e475fed-ea41-4f74-a7e3-08d84882ab3c · outbound

This paper cites & Tsai, C.-L.

Data fusion of complementary data sources using Machine Learning enables higher accuracy Solar Resource Maps & Tsai, C.-L

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:38:46.611919Z

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Observation 0528505f-224a-48cb-b992-2483985f8709 · outbound

This paper cites & Taylor, J.

Data fusion of complementary data sources using Machine Learning enables higher accuracy Solar Resource Maps & Taylor, J

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:38:46.594480Z

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Observation 2993fe84-01d8-4b5d-a105-d1a3e77441d2 · outbound

This paper cites Applied linear regression (2005).

Data fusion of complementary data sources using Machine Learning enables higher accuracy Solar Resource Maps Applied linear regression (2005)

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:38:46.577798Z

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Observation 42bf9e28-5a24-4ad4-8b6a-3f60a1aab983 · outbound

This paper cites an unresolved cited work.

Data fusion of complementary data sources using Machine Learning enables higher accuracy Solar Resource Maps Unresolved cited work

Reference 35

Resolution: unresolved; raw_fallback, observed 2026-08-10T21:38:46.562746Z

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Observation a67956f6-c952-4a1e-971f-ee9ed1e67fe6 · outbound

This paper cites Scikit-learn: Machine learning in python.

Data fusion of complementary data sources using Machine Learning enables higher accuracy Solar Resource Maps Scikit-learn: Machine learning in python

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:38:46.546926Z

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Observation 88a62b93-937b-4bb6-b8f9-88b2c130893c · outbound

This paper cites On ordinary ridge regression in generalized linear models.

Data fusion of complementary data sources using Machine Learning enables higher accuracy Solar Resource Maps On ordinary ridge regression in generalized linear models

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:38:46.531439Z

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Observation 6406bd74-dbd2-4ad8-ab06-b15ae6389253 · outbound

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Data fusion of complementary data sources using Machine Learning enables higher accuracy Solar Resource Maps Unresolved cited work

Reference 38

Resolution: unresolved; raw_fallback, observed 2026-08-10T21:38:46.514578Z

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Observation 84a884ea-8313-4192-858f-5f19024b753c · outbound

This paper cites & White, H.

Data fusion of complementary data sources using Machine Learning enables higher accuracy Solar Resource Maps & White, H

Reference 39

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Observation 27adbf5d-fe8f-404b-a084-1687c9d301fe · outbound

This paper cites Approximation by superpositions of a sigmoidal function.

Data fusion of complementary data sources using Machine Learning enables higher accuracy Solar Resource Maps Approximation by superpositions of a sigmoidal function

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:38:46.488641Z

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Observation cd9f4f98-be09-4447-ac30-e15fee31d475 · outbound

This paper cites & Hinton, G.

Data fusion of complementary data sources using Machine Learning enables higher accuracy Solar Resource Maps & Hinton, G

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:38:46.472284Z

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Observation 4fa73d40-a48c-4db8-94d5-dbf8226fefc5 · outbound

This paper cites Residual attention network for image classification.

Data fusion of complementary data sources using Machine Learning enables higher accuracy Solar Resource Maps Residual attention network for image classification

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:38:46.457358Z

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Observation e9b618a9-b857-4002-bf56-a14e6a669013 · outbound

This paper cites an unresolved cited work.

Data fusion of complementary data sources using Machine Learning enables higher accuracy Solar Resource Maps Unresolved cited work

Reference 43

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Observation 52d27a07-aa6e-4a64-bc45-e5592e254dc9 · outbound

This paper cites A Survey of Large Language Models.

Data fusion of complementary data sources using Machine Learning enables higher accuracy Solar Resource Maps A Survey of Large Language Models

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-10T21:38:46.005024Z

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This paper cites M., Weinhardt, C., van der Aalst, W.

Data fusion of complementary data sources using Machine Learning enables higher accuracy Solar Resource Maps M., Weinhardt, C., van der Aalst, W

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:38:46.425918Z

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Observation a83d30ae-d6f9-4c2e-9282-588860b8a1e3 · outbound

This paper cites & Ganguli, S.

Data fusion of complementary data sources using Machine Learning enables higher accuracy Solar Resource Maps & Ganguli, S

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:38:46.410307Z

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Observation d8f95fab-a00b-4269-b138-aa57b2fe6070 · outbound

This paper cites an unresolved cited work.

Data fusion of complementary data sources using Machine Learning enables higher accuracy Solar Resource Maps Unresolved cited work

Reference 47

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Observation 311d6c22-05c0-4ba4-9ccd-abd3047f5160 · outbound

This paper cites an unresolved cited work.

Data fusion of complementary data sources using Machine Learning enables higher accuracy Solar Resource Maps Unresolved cited work

Reference 48

Resolution: unresolved; raw_fallback, observed 2026-08-10T21:38:46.385709Z

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Observation b46063c3-c267-4ea3-a2c7-1fe3c8142c49 · outbound

This paper cites an unresolved cited work.

Data fusion of complementary data sources using Machine Learning enables higher accuracy Solar Resource Maps Unresolved cited work

Reference 49

Resolution: unresolved; raw_fallback, observed 2026-08-10T21:38:46.371546Z

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Observation 653a63d0-a206-44dd-98bd-b4880ac3d76e · outbound

This paper cites GraphCast: Learning skillful medium-range global weather forecasting.

Data fusion of complementary data sources using Machine Learning enables higher accuracy Solar Resource Maps GraphCast: Learning skillful medium-range global weather forecasting

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-10T21:38:46.033614Z

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This paper cites an unresolved cited work.

Data fusion of complementary data sources using Machine Learning enables higher accuracy Solar Resource Maps Unresolved cited work

Reference 51

Resolution: unresolved; raw_fallback, observed 2026-08-10T21:38:46.357222Z

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Observation 66b27cd4-8c7a-4ad8-93e4-829a6f7ab3ed · outbound

This paper cites an unresolved cited work.

Data fusion of complementary data sources using Machine Learning enables higher accuracy Solar Resource Maps Unresolved cited work

Reference 52

Resolution: unresolved; raw_fallback, observed 2026-08-10T21:38:46.342619Z

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Observation ca771d7c-c943-4d4e-b29c-6a67da37bd95 · outbound

This paper cites Bias correction of operational storm surge forecasts using neural networks.

Data fusion of complementary data sources using Machine Learning enables higher accuracy Solar Resource Maps Bias correction of operational storm surge forecasts using neural networks

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:38:46.327367Z

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Observation 9f216292-5432-4b19-a5e3-32c5ebbc37ef · outbound

This paper cites an unresolved cited work.

Data fusion of complementary data sources using Machine Learning enables higher accuracy Solar Resource Maps Unresolved cited work

Reference 54

Resolution: unresolved; raw_fallback, observed 2026-08-10T21:38:46.310370Z

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Observation 1bc07f54-8c9a-4e19-889b-c6b909c72b9b · outbound

This paper cites an unresolved cited work.

Data fusion of complementary data sources using Machine Learning enables higher accuracy Solar Resource Maps Unresolved cited work

Reference 55

Resolution: unresolved; raw_fallback, observed 2026-08-10T21:38:46.295726Z

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Observation 7845ec7f-52e9-4432-8304-02e0220c6216 · outbound

This paper cites & Liu, X.-Y.

Data fusion of complementary data sources using Machine Learning enables higher accuracy Solar Resource Maps & Liu, X.-Y

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:38:46.280638Z

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Observation d3fc38c3-e686-4486-8896-d2e8efe9b99f · outbound

This paper cites an unresolved cited work.

Data fusion of complementary data sources using Machine Learning enables higher accuracy Solar Resource Maps Unresolved cited work

Reference 57

Resolution: unresolved; raw_fallback, observed 2026-08-10T21:38:46.263145Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 848620ab-b649-4902-ae79-6d56f18c559c · outbound

This paper cites an unresolved cited work.

Data fusion of complementary data sources using Machine Learning enables higher accuracy Solar Resource Maps Unresolved cited work

Reference 58

Resolution: unresolved; raw_fallback, observed 2026-08-10T21:38:46.247604Z

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Observation e9c1921b-f661-438e-9d85-ba98170e0168 · outbound

This paper cites & Berthouze, N.

Data fusion of complementary data sources using Machine Learning enables higher accuracy Solar Resource Maps & Berthouze, N

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:38:46.231202Z

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Observation 5df84a93-cdc1-49c8-8820-31619e719f4a · outbound

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Data fusion of complementary data sources using Machine Learning enables higher accuracy Solar Resource Maps Unresolved cited work

Reference 60

Resolution: unresolved; raw_fallback, observed 2026-08-10T21:38:46.215637Z

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Observation 1c8c8016-60f1-486f-84a8-85c4959d6acc · outbound

This paper cites an unresolved cited work.

Data fusion of complementary data sources using Machine Learning enables higher accuracy Solar Resource Maps Unresolved cited work

Reference 61

Resolution: unresolved; raw_fallback, observed 2026-08-10T21:38:46.200557Z

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