Paper Citation Record · LEDGER

Foundation Models for Clean Energy Forecasting: A Comprehensive Review

As of 17 August 2026, this Paper Citation Record lists 100 of 216 outbound references and 2 inbound Pith citation observations for arXiv:2507.23147.

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

pith.paper-citation-record.v1
2507.23147 v1

Coverage vector

measured 100 of 216 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T11:06:14.023097Z

measured 102 of 102 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T15:40:46.075135Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

100 of 216 outbound references displayed

verified exact25
verified fuzzy0
unresolved59
parse uncertain0
malformed identifier16
metadata mismatch0

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation b0fed52e-09a1-4be3-a1f1-0d12659978bb · outbound

This paper cites an unresolved cited work.

Foundation Models for Clean Energy Forecasting: A Comprehensive Review Unresolved cited work

Reference 1

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Observation 33295756-60a5-45b0-8dae-7231a0361c1b · outbound

This paper cites Towards Universal Large-Scale Foundational Model for Natural Gas Demand Forecasting.

Foundation Models for Clean Energy Forecasting: A Comprehensive Review Towards Universal Large-Scale Foundational Model for Natural Gas Demand Forecasting

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-08-06T11:06:15.684827Z

Source-reported events for the cited work

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Observation 12858684-62fc-4c06-949d-adf96f517f5a · outbound

This paper cites an unresolved cited work.

Foundation Models for Clean Energy Forecasting: A Comprehensive Review Unresolved cited work

Reference 3

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Observation fb341daf-01c9-489b-95f3-0cd4c3cee815 · outbound

This paper cites Sergeev, P.

Foundation Models for Clean Energy Forecasting: A Comprehensive Review Sergeev, P

Reference 4

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Observation 29ae073d-0780-418c-bf8e-4c9d195d96f8 · outbound

This paper cites Jung, D.-H.

Foundation Models for Clean Energy Forecasting: A Comprehensive Review Jung, D.-H

Reference 5

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Observation ae9741b6-77a7-46b3-bb42-c32b2dbe4506 · outbound

This paper cites Zou, Survey of wind power output power forecasting technology, Highlights in Science, Engineering and Technology (2023).

Foundation Models for Clean Energy Forecasting: A Comprehensive Review Zou, Survey of wind power output power forecasting technology, Highlights in Science, Engineering and Technology (2023)

Reference 6

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Observation efeaa005-397e-450d-ac92-334da61056b8 · outbound

This paper cites Alpackaya, M.

Foundation Models for Clean Energy Forecasting: A Comprehensive Review Alpackaya, M

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T11:06:13.721458Z

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Observation af9e9e38-4071-4934-a9f2-0db6d2d47b0d · outbound

This paper cites an unresolved cited work.

Foundation Models for Clean Energy Forecasting: A Comprehensive Review Unresolved cited work

Reference 8

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Observation 7715ccb0-6199-4318-8fd3-8b6204fa5961 · outbound

This paper cites an unresolved cited work.

Foundation Models for Clean Energy Forecasting: A Comprehensive Review Unresolved cited work

Reference 9

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Observation b26e5917-2535-4702-87ca-d5716bf0a43e · outbound

This paper cites an unresolved cited work.

Foundation Models for Clean Energy Forecasting: A Comprehensive Review Unresolved cited work

Reference 10

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Observation 0a501862-ae9c-4673-937b-f1e8e1e43e3d · outbound

This paper cites Mohan, R.

Foundation Models for Clean Energy Forecasting: A Comprehensive Review Mohan, R

Reference 11

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Observation 99ac1465-2262-44b5-85fa-e4067e332899 · outbound

This paper cites Saeed, S.

Foundation Models for Clean Energy Forecasting: A Comprehensive Review Saeed, S

Reference 12

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Observation 116417f5-9370-4e6d-be48-e1bbfa7a4597 · outbound

This paper cites an unresolved cited work.

Foundation Models for Clean Energy Forecasting: A Comprehensive Review Unresolved cited work

Reference 13

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Observation 310a5833-64d5-407f-97f4-bc3345e1aba6 · outbound

This paper cites Ghazaei, O.

Foundation Models for Clean Energy Forecasting: A Comprehensive Review Ghazaei, O

Reference 14

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Observation f19c3fd7-6569-42b8-aa13-b60e250760ee · outbound

This paper cites an unresolved cited work.

Foundation Models for Clean Energy Forecasting: A Comprehensive Review Unresolved cited work

Reference 15

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Observation 2eb2e790-a5e4-4cb6-be2e-7775af9f11af · outbound

This paper cites an unresolved cited work.

Foundation Models for Clean Energy Forecasting: A Comprehensive Review Unresolved cited work

Reference 16

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Observation 16115462-4c7a-4182-bde3-5bad9b324c53 · outbound

This paper cites Ghasemi, M.

Foundation Models for Clean Energy Forecasting: A Comprehensive Review Ghasemi, M

Reference 17

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Observation d2bb6f3e-c3f6-4609-bfd5-b604f4a7bd5d · outbound

This paper cites Are Transformers Effective for Time Series Forecasting?.

Foundation Models for Clean Energy Forecasting: A Comprehensive Review Are Transformers Effective for Time Series Forecasting?

Reference 18

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Observation 649b7ed1-fa34-4228-99aa-bc65992b6b88 · outbound

This paper cites Joseph, A.

Foundation Models for Clean Energy Forecasting: A Comprehensive Review Joseph, A

Reference 19

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Observation 9c9cefa9-ee62-4515-b4a9-e5184c703f6a · outbound

This paper cites Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting.

Foundation Models for Clean Energy Forecasting: A Comprehensive Review Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T11:06:13.760709Z

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Observation 92ece55b-1273-406d-814f-e6588b52cf73 · outbound

This paper cites A decoder-only foundation model for time-series forecasting.

Foundation Models for Clean Energy Forecasting: A Comprehensive Review A decoder-only foundation model for time-series forecasting

Reference 21

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Observation 3eed47aa-42a1-41a3-9509-3f6c65e9a603 · outbound

This paper cites Self-adjointness of semi-relativistic Pauli-Fierz Hamiltonian.

Foundation Models for Clean Energy Forecasting: A Comprehensive Review Self-adjointness of semi-relativistic Pauli-Fierz Hamiltonian

Reference 23

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Observation c845811c-c44a-4a83-9b01-8b538ffcac37 · outbound

This paper cites Uremovi ´c, M.

Foundation Models for Clean Energy Forecasting: A Comprehensive Review Uremovi ´c, M

Reference 24

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Observation 3bd60ac6-7432-49f3-ab4c-eacc3570096b · outbound

This paper cites Mundotiya, P.

Foundation Models for Clean Energy Forecasting: A Comprehensive Review Mundotiya, P

Reference 27

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Observation 993fce6a-8398-44bc-baf6-85dd84f75feb · outbound

This paper cites Borrotti, Quantifying uncertainty with conformal prediction for heat- 22 ing and cooling load forecasting in building performance simulation, En- ergies (2024).

Foundation Models for Clean Energy Forecasting: A Comprehensive Review Borrotti, Quantifying uncertainty with conformal prediction for heat- 22 ing and cooling load forecasting in building performance simulation, En- ergies (2024)

Reference 28

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Observation 6ccc8db3-cbd4-48f5-83a2-dadd687ff32e · outbound

This paper cites On the Opportunities and Risks of Foundation Models.

Foundation Models for Clean Energy Forecasting: A Comprehensive Review On the Opportunities and Risks of Foundation Models

Reference 29

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Observation 351b13ee-ddb1-4293-8329-9b15a5528374 · outbound

This paper cites Transfer Learning with Foundational Models for Time Series Forecasting using Low-Rank Adaptations.

Foundation Models for Clean Energy Forecasting: A Comprehensive Review Transfer Learning with Foundational Models for Time Series Forecasting using Low-Rank Adaptations

Reference 30

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Observation 4fc763dd-a7e7-43da-9a48-82e6fa2beb6a · outbound

This paper cites Liang, H.

Foundation Models for Clean Energy Forecasting: A Comprehensive Review Liang, H

Reference 31

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Observation 7f1e2b4f-588b-4e4b-85cb-d98515589c68 · outbound

This paper cites Meyer, D.

Foundation Models for Clean Energy Forecasting: A Comprehensive Review Meyer, D

Reference 32

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Observation 1fc98845-b3cf-4715-8394-1badceac7034 · outbound

This paper cites Chronos: Learning the Language of Time Series.

Foundation Models for Clean Energy Forecasting: A Comprehensive Review Chronos: Learning the Language of Time Series

Reference 33

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Observation 5f1b976b-a633-4e80-a121-a51a860d390b · outbound

This paper cites Garza, C.

Foundation Models for Clean Energy Forecasting: A Comprehensive Review Garza, C

Reference 34

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Observation 1665f09c-0a02-4691-a6d5-a03fa8d5697e · outbound

This paper cites Dalal, R.

Foundation Models for Clean Energy Forecasting: A Comprehensive Review Dalal, R

Reference 35

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Observation 3ec77ada-5a7b-4f05-935a-4bef8ca8f244 · outbound

This paper cites an unresolved cited work.

Foundation Models for Clean Energy Forecasting: A Comprehensive Review Unresolved cited work

Reference 36

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Observation 3cbf6d93-50fa-42fe-951b-064fa81003b6 · outbound

This paper cites an unresolved cited work.

Foundation Models for Clean Energy Forecasting: A Comprehensive Review Unresolved cited work

Reference 37

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Observation dc333c54-5522-4f5f-9efe-d8b9601f3640 · outbound

This paper cites Makridakis, M.

Foundation Models for Clean Energy Forecasting: A Comprehensive Review Makridakis, M

Reference 38

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Observation 11a50d75-6f75-427b-8e4a-e71ebd640597 · outbound

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Foundation Models for Clean Energy Forecasting: A Comprehensive Review Unresolved cited work

Reference 39

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Observation 53525b28-7055-46f6-8c48-9671d3e5073b · outbound

This paper cites Lerch, B.

Foundation Models for Clean Energy Forecasting: A Comprehensive Review Lerch, B

Reference 40

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Observation 53dc8f10-709b-423a-bd12-6a615fdae31e · outbound

This paper cites Wu, Y .-C.

Foundation Models for Clean Energy Forecasting: A Comprehensive Review Wu, Y .-C

Reference 41

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Observation 0f61ee6e-2ce9-4c35-9236-27c8da1eee03 · outbound

This paper cites Vennila, S.

Foundation Models for Clean Energy Forecasting: A Comprehensive Review Vennila, S

Reference 42

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Observation ef942fb1-5f91-463a-9283-a57901358074 · outbound

This paper cites Kumhar, A.

Foundation Models for Clean Energy Forecasting: A Comprehensive Review Kumhar, A

Reference 43

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Observation 7142afa2-54fb-4e97-acea-62ba98f52a4c · outbound

This paper cites Andrews, O.

Foundation Models for Clean Energy Forecasting: A Comprehensive Review Andrews, O

Reference 44

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Observation b7618024-6a8c-4305-9167-f36f8c152cda · outbound

This paper cites Ayyıldız, Prediction of stock market index movements with machine learning (2023).

Foundation Models for Clean Energy Forecasting: A Comprehensive Review Ayyıldız, Prediction of stock market index movements with machine learning (2023)

Reference 45

Resolution: verified exact; doi, observed 2026-08-06T11:06:15.489333Z

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Observation 2252ea54-feae-4ae4-a044-1a75e07be725 · outbound

This paper cites Moraitis, L.

Foundation Models for Clean Energy Forecasting: A Comprehensive Review Moraitis, L

Reference 46

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Observation 6ad940b5-d676-4561-b805-2fa454e9f4d0 · outbound

This paper cites Deep, Advanced financial market forecasting: integrating monte carlo simulations with ensemble machine learning models, Quantitative Finance and Economics (2024).

Foundation Models for Clean Energy Forecasting: A Comprehensive Review Deep, Advanced financial market forecasting: integrating monte carlo simulations with ensemble machine learning models, Quantitative Finance and Economics (2024)

Reference 47

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Observation 2fa21383-cc9a-49be-bab1-359e1ff0eddb · outbound

This paper cites Hochreiter, Long short-term memory, Neural Computation MIT-Press (1997).

Foundation Models for Clean Energy Forecasting: A Comprehensive Review Hochreiter, Long short-term memory, Neural Computation MIT-Press (1997)

Reference 48

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Observation 0b21e0a0-12c9-493d-ac48-921d4417b675 · outbound

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Foundation Models for Clean Energy Forecasting: A Comprehensive Review Muza ffar, A

Reference 49

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Observation 2366815f-403f-4641-a7aa-6552ba17b921 · outbound

This paper cites Eua-Arporn, S.-L.

Foundation Models for Clean Energy Forecasting: A Comprehensive Review Eua-Arporn, S.-L

Reference 50

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Observation 70f37db7-fc29-4f95-a6da-5412f9657cd3 · outbound

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Foundation Models for Clean Energy Forecasting: A Comprehensive Review Ghide, S

Reference 51

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Observation 63f90d58-1f61-4e0e-9c72-c2830c913578 · outbound

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Foundation Models for Clean Energy Forecasting: A Comprehensive Review Unresolved cited work

Reference 52

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Observation 92d38f29-2c2e-4dba-974f-883b325deabe · outbound

This paper cites Li, C.-A.

Foundation Models for Clean Energy Forecasting: A Comprehensive Review Li, C.-A

Reference 53

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Observation d18ebee3-d487-4745-82fa-d8343bfa5573 · outbound

This paper cites Darmawan, D.

Foundation Models for Clean Energy Forecasting: A Comprehensive Review Darmawan, D

Reference 54

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Observation 56d0e4f7-e466-40f5-bdf9-c714ce523841 · outbound

This paper cites Weerasinghe, R.

Foundation Models for Clean Energy Forecasting: A Comprehensive Review Weerasinghe, R

Reference 55

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Observation 71c631d7-eb30-4778-9d4b-cd1c603ed381 · outbound

This paper cites Ahmad, N.

Foundation Models for Clean Energy Forecasting: A Comprehensive Review Ahmad, N

Reference 56

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Observation a135f643-f8c1-4478-ac20-7660e4013f9b · outbound

This paper cites Jensen, F.

Foundation Models for Clean Energy Forecasting: A Comprehensive Review Jensen, F

Reference 57

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Observation 94768757-d7e5-4933-a265-5a48cd6d06f3 · outbound

This paper cites Doubleday, S.

Foundation Models for Clean Energy Forecasting: A Comprehensive Review Doubleday, S

Reference 58

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Observation f7c90196-8c34-4bd7-ba0d-043fec2eeb07 · outbound

This paper cites Altho ff, J.

Foundation Models for Clean Energy Forecasting: A Comprehensive Review Altho ff, J

Reference 59

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Observation f73abe26-61bd-4f23-8b5f-7229a0525f05 · outbound

This paper cites Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting.

Foundation Models for Clean Energy Forecasting: A Comprehensive Review Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting

Reference 60

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Observation 1ee39b7a-ef88-456e-a9cd-fec857df67eb · outbound

This paper cites Laborda, S.

Foundation Models for Clean Energy Forecasting: A Comprehensive Review Laborda, S

Reference 61

Resolution: verified exact; doi, observed 2026-08-06T11:06:15.431246Z

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Observation 8fe8c5d3-3ece-40bb-9317-d0d2f1dc3899 · outbound

This paper cites an unresolved cited work.

Foundation Models for Clean Energy Forecasting: A Comprehensive Review Unresolved cited work

Reference 62

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Observation 61f42ab3-0289-4b03-80f0-3209d55d5a82 · outbound

This paper cites Oliveira, P.

Foundation Models for Clean Energy Forecasting: A Comprehensive Review Oliveira, P

Reference 63

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Observation 9da9c0a7-f8f0-45eb-992b-a65b278be7f4 · outbound

This paper cites Scaleformer: Iterative Multi-scale Refining Transformers for Time Series Forecasting.

Foundation Models for Clean Energy Forecasting: A Comprehensive Review Scaleformer: Iterative Multi-scale Refining Transformers for Time Series Forecasting

Reference 64

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Observation 30210dc3-b75f-4d83-84ea-5652fc57e4af · outbound

This paper cites an unresolved cited work.

Foundation Models for Clean Energy Forecasting: A Comprehensive Review Unresolved cited work

Reference 65

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Observation 07d32506-eb27-4062-9a97-8358ffaa17ca · outbound

This paper cites Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts.

Foundation Models for Clean Energy Forecasting: A Comprehensive Review Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts

Reference 66

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Observation 2e5ca0d0-f5f0-4b28-b33d-cf53c1236b5f · outbound

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Foundation Models for Clean Energy Forecasting: A Comprehensive Review Panja, T

Reference 67

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Observation 1623b4b2-1bf6-4187-9fab-317fd008910d · outbound

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Foundation Models for Clean Energy Forecasting: A Comprehensive Review Evseenkov, D

Reference 68

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Observation ebe65fc4-6793-4c7b-be37-1d086e62c117 · outbound

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Foundation Models for Clean Energy Forecasting: A Comprehensive Review Machine Learning Algorithms for Time Series Analysis and Forecasting

Reference 69

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Observation 4b9fd8ad-d885-480d-9405-671fb38fcef0 · outbound

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Foundation Models for Clean Energy Forecasting: A Comprehensive Review Unresolved cited work

Reference 70

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Observation c04a8326-bdd8-425d-90ab-7826b023a643 · outbound

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Foundation Models for Clean Energy Forecasting: A Comprehensive Review Phan, Y .-K

Reference 71

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Observation 7b2ac3a9-417d-47cb-aeba-dded1c479ebc · outbound

This paper cites Universal Domain Adaptation from Foundation Models: A Baseline Study.

Foundation Models for Clean Energy Forecasting: A Comprehensive Review Universal Domain Adaptation from Foundation Models: A Baseline Study

Reference 72

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This paper cites A physics-based domain adaptation framework for modelling and forecasting building energy systems.

Foundation Models for Clean Energy Forecasting: A Comprehensive Review A physics-based domain adaptation framework for modelling and forecasting building energy systems

Reference 73

Resolution: verified exact; local_arxiv, observed 2026-08-06T11:06:15.593225Z

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Observation 7932651c-9d59-49cf-9ab7-56c184d57709 · outbound

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Foundation Models for Clean Energy Forecasting: A Comprehensive Review Unresolved cited work

Reference 74

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Observation f4df6fb6-fbe5-4cee-822f-98365c61c86d · outbound

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Foundation Models for Clean Energy Forecasting: A Comprehensive Review TgDLF2.0: Theory-guided deep-learning for electrical load forecasting via Transformer and transfer learning

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Resolution: verified exact; local_arxiv, observed 2026-08-06T11:06:15.329338Z

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Observation 39e3d1f7-9f00-45f2-9939-220ef0532d83 · outbound

This paper cites Improving the Transferability of Time Series Forecasting with Decomposition Adaptation.

Foundation Models for Clean Energy Forecasting: A Comprehensive Review Improving the Transferability of Time Series Forecasting with Decomposition Adaptation

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Resolution: verified exact; local_arxiv, observed 2026-08-06T11:06:15.312351Z

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Observation 79213e73-1732-47d1-bc1a-d48c4d876d8a · outbound

This paper cites Transfer Learning on Transformers for Building Energy Consumption Forecasting -- A Comparative Study.

Foundation Models for Clean Energy Forecasting: A Comprehensive Review Transfer Learning on Transformers for Building Energy Consumption Forecasting -- A Comparative Study

Reference 77

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Observation 4f80c24e-7c3f-41f7-9f76-71ee1d318e4d · outbound

This paper cites Rasul, A.

Foundation Models for Clean Energy Forecasting: A Comprehensive Review Rasul, A

Reference 78

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Observation 17434aec-5a37-4eb6-a766-0fd678cba7b3 · outbound

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Foundation Models for Clean Energy Forecasting: A Comprehensive Review A Foundation Model for the Earth System

Reference 79

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Foundation Models for Clean Energy Forecasting: A Comprehensive Review Foundation Models for the Electric Power Grid

Reference 80

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Observation f6695a5d-7b19-477c-b431-e46264465f6a · outbound

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Foundation Models for Clean Energy Forecasting: A Comprehensive Review Towards Physics-Guided Foundation Models

Reference 81

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Observation 73ca6389-a9c0-443b-a3bf-de2cffc8db55 · outbound

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Foundation Models for Clean Energy Forecasting: A Comprehensive Review Huang, J

Reference 82

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Observation a503c774-dd2c-4efd-98d7-3e6bc2fdd9f9 · outbound

This paper cites Schreiber, B.

Foundation Models for Clean Energy Forecasting: A Comprehensive Review Schreiber, B

Reference 83

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Observation e5f8ad0e-f4fa-4a4c-aec8-cc82a1b8fcf9 · outbound

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Foundation Models for Clean Energy Forecasting: A Comprehensive Review MATNet: Multi-Level Fusion Transformer-Based Model for Day-Ahead PV Generation Forecasting

Reference 84

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Observation 1014298a-10b0-4c04-8a22-5df78a89d5a5 · outbound

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Foundation Models for Clean Energy Forecasting: A Comprehensive Review Cheng, K

Reference 85

Resolution: verified exact; doi, observed 2026-08-06T11:06:15.275187Z

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Observation 098b93d4-af13-4406-8ebc-b7d20f0da607 · outbound

This paper cites A Multi-view Multi-task Learning Framework for Multi-variate Time Series Forecasting.

Foundation Models for Clean Energy Forecasting: A Comprehensive Review A Multi-view Multi-task Learning Framework for Multi-variate Time Series Forecasting

Reference 86

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Observation b55b5c7d-fbd7-41a5-931f-779003e49c68 · outbound

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Foundation Models for Clean Energy Forecasting: A Comprehensive Review Unresolved cited work

Reference 87

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Observation 49f4d546-4bb2-4c56-a802-40ced774f312 · outbound

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Foundation Models for Clean Energy Forecasting: A Comprehensive Review Nikentari, H.-L

Reference 88

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Observation 7d873421-af1c-47b7-8de5-6d681da3d734 · outbound

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Foundation Models for Clean Energy Forecasting: A Comprehensive Review Mendis, M

Reference 89

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Observation e2dc8797-6e34-45ac-bb74-d53570f2bb36 · outbound

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Foundation Models for Clean Energy Forecasting: A Comprehensive Review Patil, K

Reference 90

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Observation f2043628-2e62-4dd7-ad7f-abfaa9e493de · outbound

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Foundation Models for Clean Energy Forecasting: A Comprehensive Review Bellinguer, R

Reference 91

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Observation 82ebc588-5686-43dd-876c-baf2429346f9 · outbound

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Foundation Models for Clean Energy Forecasting: A Comprehensive Review Unresolved cited work

Reference 92

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Observation 286dcb7f-ac1b-4c53-87c7-a3801216ba96 · outbound

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Foundation Models for Clean Energy Forecasting: A Comprehensive Review Tournadre, B

Reference 93

Resolution: verified exact; doi, observed 2026-08-06T11:06:15.263873Z

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Observation dc41a924-d016-4394-bfa9-1a87879b2a5b · outbound

This paper cites Gregor, B.

Foundation Models for Clean Energy Forecasting: A Comprehensive Review Gregor, B

Reference 94

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Observation 8ecaba01-73d3-474f-8ce1-675c2201e5e5 · outbound

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Foundation Models for Clean Energy Forecasting: A Comprehensive Review Unresolved cited work

Reference 95

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Observation 011f82be-8dd4-4b69-9efc-e289bd0434fa · outbound

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Foundation Models for Clean Energy Forecasting: A Comprehensive Review Logothetis, V

Reference 96

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Observation 04ce5782-4d52-4376-ac1e-b7842a3cdeb5 · outbound

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Foundation Models for Clean Energy Forecasting: A Comprehensive Review Unresolved cited work

Reference 97

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Observation 4c8f5273-ab8c-42e5-acbd-5b5fd00b519c · outbound

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Foundation Models for Clean Energy Forecasting: A Comprehensive Review Unresolved cited work

Reference 98

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Foundation Models for Clean Energy Forecasting: A Comprehensive Review Al-Haddad, A

Reference 99

Resolution: verified exact; doi, observed 2026-08-06T11:06:15.254416Z

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Observation 1f29d5f8-1251-4830-afba-7b5932a9f135 · outbound

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Foundation Models for Clean Energy Forecasting: A Comprehensive Review Mlynek, V

Reference 100

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Observation 67f7cabf-6d15-4225-a1ec-e9fc551e5b90 · outbound

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Foundation Models for Clean Energy Forecasting: A Comprehensive Review Unresolved cited work

Reference 101

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Observation caa11185-b1ee-4b64-9026-7937d85cc6c5 · outbound

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Foundation Models for Clean Energy Forecasting: A Comprehensive Review Unresolved cited work

Reference 102

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Foundation Models for Clean Energy Forecasting: A Comprehensive Review Wang, Demand forecasting and resource scheduling of independent energy storage market in power grid with deep learning, Journal of Elec- trical Systems (2024)

Reference 103

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Pith citing papers

Observation 456a2d33-ef66-4b13-bf42-f0f6607b98e7 · inbound

FETS Benchmark: Foundation Models Enable Scalable and Generalizable Energy Time Series Forecasting cites this paper.

FETS Benchmark: Foundation Models Enable Scalable and Generalizable Energy Time Series Forecasting Foundation Models for Clean Energy Forecasting: A Comprehensive Review

Reference 20

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Observation 593715e5-d47c-4c9e-a458-e06f8f2961c9 · inbound

FETS Benchmark: Foundation Models Enable Scalable and Generalizable Energy Time Series Forecasting cites this paper.

FETS Benchmark: Foundation Models Enable Scalable and Generalizable Energy Time Series Forecasting Foundation Models for Clean Energy Forecasting: A Comprehensive Review

Reference 20

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