Tyan-WP: A Wind Power Foundation Model for Ultra-Short-Term Probabilistic Forecasting | Paper Citation Record

Observation ae65005d-e88e-4926-82fd-15b4b74893db · outbound

This paper cites Global wind report 2026.

Tyan-WP: A Wind Power Foundation Model for Ultra-Short-Term Probabilistic Forecasting Global wind report 2026

Reference 1

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Observation f598d6a0-afd0-4828-8f13-d6ed03eab95b · outbound

This paper cites China’s newly installed wind and solar capacity exceeded 430 gw in 2025, reaching a record high.

Tyan-WP: A Wind Power Foundation Model for Ultra-Short-Term Probabilistic Forecasting China’s newly installed wind and solar capacity exceeded 430 gw in 2025, reaching a record high

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-07-02T22:27:26.145742Z

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Observation 73ba05ee-8ed9-4d96-9fb0-a98baefcefa5 · outbound

This paper cites National energy administration releases 2025 national power statistics.

Tyan-WP: A Wind Power Foundation Model for Ultra-Short-Term Probabilistic Forecasting National energy administration releases 2025 national power statistics

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-07-02T22:27:26.148290Z

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Observation 2b45079f-15ed-4577-b319-99f0c72a7aec · outbound

This paper cites Bayesian averaging-enabled transfer learning method for probabilistic wind power forecasting of newly built wind farms.

Tyan-WP: A Wind Power Foundation Model for Ultra-Short-Term Probabilistic Forecasting Bayesian averaging-enabled transfer learning method for probabilistic wind power forecasting of newly built wind farms

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-06-27T19:01:08.176885Z

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Observation 744c885e-a46f-4170-903c-87f8b501b029 · outbound

This paper cites A deep asymmetric laplace neural network for deterministic and probabilistic wind power forecasting.

Tyan-WP: A Wind Power Foundation Model for Ultra-Short-Term Probabilistic Forecasting A deep asymmetric laplace neural network for deterministic and probabilistic wind power forecasting

Reference 5

Resolution: verified exact; doi, observed 2026-06-27T19:01:08.178785Z

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Observation 41f836e2-81c1-4033-a89b-3f162ea47441 · outbound

This paper cites S., Zareipour H., Malik O., Mandal P.

Tyan-WP: A Wind Power Foundation Model for Ultra-Short-Term Probabilistic Forecasting S., Zareipour H., Malik O., Mandal P

Reference 6

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This paper cites an unresolved cited work.

Tyan-WP: A Wind Power Foundation Model for Ultra-Short-Term Probabilistic Forecasting Unresolved cited work

Reference 7

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This paper cites an unresolved cited work.

Tyan-WP: A Wind Power Foundation Model for Ultra-Short-Term Probabilistic Forecasting Unresolved cited work

Reference 8

Resolution: verified exact; doi, observed 2026-06-27T19:01:08.180321Z

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Observation 1b9ae7d6-3c3c-42b9-97cb-a63c94b5aafd · outbound

This paper cites Ultra-short-term wind power forecasting based on deep bayesian model with uncertainty.

Tyan-WP: A Wind Power Foundation Model for Ultra-Short-Term Probabilistic Forecasting Ultra-short-term wind power forecasting based on deep bayesian model with uncertainty

Reference 9

Resolution: verified exact; doi, observed 2026-06-27T19:01:08.185491Z

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Observation 846d2f19-07da-4353-809c-8e37a5026a99 · outbound

This paper cites Approaches to wind power curve modeling: A review and discussion.

Tyan-WP: A Wind Power Foundation Model for Ultra-Short-Term Probabilistic Forecasting Approaches to wind power curve modeling: A review and discussion

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-06-27T19:01:08.169521Z

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Observation 10ffaf56-a104-4f3f-889f-6bb5b6c5d00f · outbound

This paper cites Interpretable feature-temporal transformer for short-term wind power forecasting with multivariate time series.

Tyan-WP: A Wind Power Foundation Model for Ultra-Short-Term Probabilistic Forecasting Interpretable feature-temporal transformer for short-term wind power forecasting with multivariate time series

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-06-27T19:01:08.183544Z

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Observation 84292647-4dbb-4a2d-8faa-41fb74978ce3 · outbound

This paper cites an unresolved cited work.

Tyan-WP: A Wind Power Foundation Model for Ultra-Short-Term Probabilistic Forecasting Unresolved cited work

Reference 12

Resolution: verified exact; doi, observed 2026-06-27T19:01:08.163335Z

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correction dated 2015-02-02. Source: crossref record 10.1063/1.4906780->10.1063/1.4904430:correction, observed 2026-07-11T02:59:09.733622+00:00. This notice travels one citation hop only.

Observation d6bf769c-75d5-4c96-bc3d-1bbc919c4725 · outbound

This paper cites A review on the recent history of wind power ramp forecasting.

Tyan-WP: A Wind Power Foundation Model for Ultra-Short-Term Probabilistic Forecasting A review on the recent history of wind power ramp forecasting

Reference 13

Resolution: verified exact; doi, observed 2026-06-27T19:01:08.170000Z

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Observation 006e739b-fd50-4f69-b3e9-5a7d4b9aebdf · outbound

This paper cites A review of wind speed and wind power forecasting with deep neural networks.

Tyan-WP: A Wind Power Foundation Model for Ultra-Short-Term Probabilistic Forecasting A review of wind speed and wind power forecasting with deep neural networks

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-06-27T19:01:08.178142Z

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Observation 12f00124-b8d2-4b6f-bce2-d7a002000ef2 · outbound

This paper cites Deep learning based ensemble approach for probabilistic wind power forecasting.

Tyan-WP: A Wind Power Foundation Model for Ultra-Short-Term Probabilistic Forecasting Deep learning based ensemble approach for probabilistic wind power forecasting

Reference 15

Resolution: verified exact; doi, observed 2026-06-27T19:01:08.171922Z

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Observation c89936c5-0448-493e-89b5-7b93e1939295 · outbound

This paper cites FEDformer: Frequency enhanced decomposed transformer for long-term series forecasting.

Tyan-WP: A Wind Power Foundation Model for Ultra-Short-Term Probabilistic Forecasting FEDformer: Frequency enhanced decomposed transformer for long-term series forecasting

Reference 16

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Observation 93d91a78-bc37-431d-9d4b-67fd101f169e · outbound

This paper cites Are transformers eﬀective for time series forecasting?.

Tyan-WP: A Wind Power Foundation Model for Ultra-Short-Term Probabilistic Forecasting Are transformers eﬀective for time series forecasting?

Reference 17

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Observation b7718a8d-abd2-4dcb-9b6d-280f12a82e43 · outbound

This paper cites Non-stationary transformers: Exploring the stationarity in time series forecasting.

Tyan-WP: A Wind Power Foundation Model for Ultra-Short-Term Probabilistic Forecasting Non-stationary transformers: Exploring the stationarity in time series forecasting

Reference 18

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Observation 5eb8e0bf-1980-4e91-a30c-8931e7ca58ef · outbound

This paper cites TimesNet: Temporal 2d-variation modeling for general time series analysis.

Tyan-WP: A Wind Power Foundation Model for Ultra-Short-Term Probabilistic Forecasting TimesNet: Temporal 2d-variation modeling for general time series analysis

Reference 19

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Observation 7cecb7ab-8e65-472a-8918-c3f17c26fbea · outbound

This paper cites H., Sinthong P., Kalagnanam J.

Tyan-WP: A Wind Power Foundation Model for Ultra-Short-Term Probabilistic Forecasting H., Sinthong P., Kalagnanam J

Reference 20

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Observation 10785337-26ea-4095-9b7d-7e7f498c2fb4 · outbound

This paper cites iTransformer: Inverted transformers are eﬀective for time series forecasting.

Tyan-WP: A Wind Power Foundation Model for Ultra-Short-Term Probabilistic Forecasting iTransformer: Inverted transformers are eﬀective for time series forecasting

Reference 21

Resolution: unresolved; no resolver link, observed 2026-06-27T18:52:56.379712Z

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Observation 20f69ba1-3c17-408d-9f8b-4ecc6cba4638 · outbound

This paper cites TimeXer: Empowering transformers for time series forecasting with exogenous variables.

Tyan-WP: A Wind Power Foundation Model for Ultra-Short-Term Probabilistic Forecasting TimeXer: Empowering transformers for time series forecasting with exogenous variables

Reference 22

Resolution: unresolved; no resolver link, observed 2026-06-27T18:52:56.379712Z

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Observation b033d87f-bf36-4d92-bf3d-3f597e66de91 · outbound

This paper cites TimeMixer: Decomposable multiscale mixing for time series forecasting.

Tyan-WP: A Wind Power Foundation Model for Ultra-Short-Term Probabilistic Forecasting TimeMixer: Decomposable multiscale mixing for time series forecasting

Reference 23

Resolution: unresolved; no resolver link, observed 2026-06-27T18:52:56.379712Z

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Observation 976b119c-e515-45c1-8daa-8b61bbd57c79 · outbound

This paper cites MOMENT: A family of open time-series foundation models.

Tyan-WP: A Wind Power Foundation Model for Ultra-Short-Term Probabilistic Forecasting MOMENT: A family of open time-series foundation models

Reference 24

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Observation 208a1335-2346-4d11-af29-5cad663db63a · outbound

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

Tyan-WP: A Wind Power Foundation Model for Ultra-Short-Term Probabilistic Forecasting Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-07-02T22:27:26.149706Z

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Observation eb865cb4-4387-4a4a-9f8a-41cbd3f76d17 · outbound

This paper cites Timer: Generative Pre-trained Transformers Are Large Time Series Models.

Tyan-WP: A Wind Power Foundation Model for Ultra-Short-Term Probabilistic Forecasting Timer: Generative Pre-trained Transformers Are Large Time Series Models

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-07-02T22:27:26.138376Z

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Observation 1b509e6e-9705-4123-b2ed-8b51bd464837 · outbound

This paper cites Timer-XL: Long-Context Transformers for Unified Time Series Forecasting.

Tyan-WP: A Wind Power Foundation Model for Ultra-Short-Term Probabilistic Forecasting Timer-XL: Long-Context Transformers for Unified Time Series Forecasting

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-07-02T22:27:26.140236Z

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Observation 3456af72-404d-4a4a-b3f6-fb0875adf9c6 · outbound

This paper cites Timer-S1: A Billion-Scale Time Series Foundation Model with Serial Scaling.

Tyan-WP: A Wind Power Foundation Model for Ultra-Short-Term Probabilistic Forecasting Timer-S1: A Billion-Scale Time Series Foundation Model with Serial Scaling

Reference 28

Resolution: verified exact; local_arxiv, observed 2026-07-02T22:27:26.132172Z

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Observation b7964444-4fdc-4668-adde-14139fc6a584 · outbound

This paper cites Sundial: A Family of Highly Capable Time Series Foundation Models.

Tyan-WP: A Wind Power Foundation Model for Ultra-Short-Term Probabilistic Forecasting Sundial: A Family of Highly Capable Time Series Foundation Models

Reference 29

Resolution: verified exact; local_arxiv, observed 2026-07-02T22:27:26.147148Z

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Observation 2ad787b8-f356-430d-a0f1-47e7e3e6a85a · outbound

This paper cites Tirex: Zero-shot forecasting across long and short horizons with enhanced in-context learning.

Tyan-WP: A Wind Power Foundation Model for Ultra-Short-Term Probabilistic Forecasting Tirex: Zero-shot forecasting across long and short horizons with enhanced in-context learning

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-07-02T22:27:26.114446Z

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Observation 83b948e7-d992-4df5-9495-2b1a4161f6d8 · outbound

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

Tyan-WP: A Wind Power Foundation Model for Ultra-Short-Term Probabilistic Forecasting A decoder-only foundation model for time-series forecasting

Reference 31

Resolution: verified exact; local_arxiv, observed 2026-07-02T22:27:26.130149Z

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Observation 71852d72-a442-4e3a-9e49-b6e84e914faf · outbound

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

Tyan-WP: A Wind Power Foundation Model for Ultra-Short-Term Probabilistic Forecasting Chronos: Learning the Language of Time Series

Reference 32

Resolution: metadata mismatch; local_arxiv, observed 2026-07-02T22:27:26.137718Z

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Observation 29889b9b-215c-4494-81f4-5993a9e58c52 · outbound

This paper cites Chronos-2: From Univariate to Universal Forecasting.

Tyan-WP: A Wind Power Foundation Model for Ultra-Short-Term Probabilistic Forecasting Chronos-2: From Univariate to Universal Forecasting

Reference 33

Resolution: metadata mismatch; local_arxiv, observed 2026-07-02T22:27:26.119567Z

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Observation 09338a04-70e2-4b55-bdaf-6d03b12cfacd · outbound

This paper cites Uniﬁed training of universal time series forecasting transformers.

Tyan-WP: A Wind Power Foundation Model for Ultra-Short-Term Probabilistic Forecasting Uniﬁed training of universal time series forecasting transformers

Reference 34

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This paper cites Moirai-MoE: Empowering time series foundation models with sparse mixture of experts.

Tyan-WP: A Wind Power Foundation Model for Ultra-Short-Term Probabilistic Forecasting Moirai-MoE: Empowering time series foundation models with sparse mixture of experts

Reference 35

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This paper cites Moirai 2.0: When less is more for time series forecasting.

Tyan-WP: A Wind Power Foundation Model for Ultra-Short-Term Probabilistic Forecasting Moirai 2.0: When less is more for time series forecasting

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-07-02T22:27:26.111825Z

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Observation aa34256f-650e-43b6-ad29-e9e30e5e961a · outbound

This paper cites PriceFM: Foundation Model for Probabilistic Electricity Price Forecasting.

Tyan-WP: A Wind Power Foundation Model for Ultra-Short-Term Probabilistic Forecasting PriceFM: Foundation Model for Probabilistic Electricity Price Forecasting

Reference 37

Resolution: verified exact; local_arxiv, observed 2026-07-02T22:27:26.107763Z

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Observation eefe8d0b-56fc-4b45-acc7-58d908bf606a · outbound

This paper cites Kronos: A Foundation Model for the Language of Financial Markets.

Tyan-WP: A Wind Power Foundation Model for Ultra-Short-Term Probabilistic Forecasting Kronos: A Foundation Model for the Language of Financial Markets

Reference 38

Resolution: verified exact; arxiv_id, observed 2026-07-02T22:27:26.110337Z

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Observation a07f495f-afc7-4770-a885-e58862a9dfa6 · outbound

This paper cites MIRA: Medical time series foundation model for real-world health data.

Tyan-WP: A Wind Power Foundation Model for Ultra-Short-Term Probabilistic Forecasting MIRA: Medical time series foundation model for real-world health data

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-07-02T22:27:26.124335Z

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Observation 2b6cbbb3-4cd6-43c5-97a7-1d8fea7082ef · outbound

This paper cites Applied Energy , author =.

Tyan-WP: A Wind Power Foundation Model for Ultra-Short-Term Probabilistic Forecasting Applied Energy , author =

Reference 40

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Observation 3ef2eb94-9ad9-484a-a411-1711ccaf1f1b · outbound

This paper cites N., et al.

Tyan-WP: A Wind Power Foundation Model for Ultra-Short-Term Probabilistic Forecasting N., et al

Reference 41

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Observation bc1001ab-6b1a-471b-bb9b-fbbd7d50e323 · outbound

This paper cites RoFormer: Enhanced Transformer with Rotary Position Embedding.

Tyan-WP: A Wind Power Foundation Model for Ultra-Short-Term Probabilistic Forecasting RoFormer: Enhanced Transformer with Rotary Position Embedding

Reference 43

Resolution: verified exact; local_arxiv, observed 2026-07-02T22:27:26.118771Z

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Observation aa1c8a71-e14f-4c87-8e4a-6bac0435a68a · outbound

This paper cites Outrageously large neural networks: The sparsely-gated mixture-of- experts layer.

Tyan-WP: A Wind Power Foundation Model for Ultra-Short-Term Probabilistic Forecasting Outrageously large neural networks: The sparsely-gated mixture-of- experts layer

Reference 44

Resolution: unresolved; no resolver link, observed 2026-06-27T18:52:56.379712Z

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Observation 19999ae8-f995-4a47-8a32-6b9032d417c2 · outbound

This paper cites Switch Transformers: Scaling to Trillion Parameter Models with Simple and Efficient Sparsity.

Tyan-WP: A Wind Power Foundation Model for Ultra-Short-Term Probabilistic Forecasting Switch Transformers: Scaling to Trillion Parameter Models with Simple and Efficient Sparsity

Reference 45

Resolution: verified exact; local_arxiv, observed 2026-07-02T22:27:26.142738Z

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 3becc52a-9101-48c0-8f33-dcc1ed578a06 · outbound

This paper cites Regression quantiles.

Tyan-WP: A Wind Power Foundation Model for Ultra-Short-Term Probabilistic Forecasting Regression quantiles

Reference 46

Resolution: verified exact; doi, observed 2026-06-27T19:01:08.158942Z

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Observation 2786e4d7-fc99-4007-abf8-2de852a8cea4 · outbound

This paper cites Kelmarsh wind farm data.

Tyan-WP: A Wind Power Foundation Model for Ultra-Short-Term Probabilistic Forecasting Kelmarsh wind farm data

Reference 47

Resolution: verified exact; doi, observed 2026-06-27T19:01:08.171268Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 7afc8eb8-3a45-4b57-b0d3-394484334414 · outbound

This paper cites W., Pinson P., Browell J., Bjerregärd M.

Tyan-WP: A Wind Power Foundation Model for Ultra-Short-Term Probabilistic Forecasting W., Pinson P., Browell J., Bjerregärd M

Reference 48

Resolution: verified exact; doi, observed 2026-06-27T19:01:08.161912Z

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Observation 31b4524d-1e34-4f3b-a030-643023190490 · outbound

This paper cites Strictly.

Tyan-WP: A Wind Power Foundation Model for Ultra-Short-Term Probabilistic Forecasting Strictly

Reference 49

Resolution: verified exact; doi, observed 2026-06-27T19:01:08.160242Z

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Observation ab0735a3-e27f-4412-871e-96b5e1532562 · outbound

This paper cites doi: 10.1038/s41586-023-06185-3.

Tyan-WP: A Wind Power Foundation Model for Ultra-Short-Term Probabilistic Forecasting doi: 10.1038/s41586-023-06185-3

Reference 50

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correction dated 2023-09-14. Source: crossref record 10.1038/s41586-023-06545-z->10.1038/s41586-023-06185-3:correction, observed 2026-07-11T03:00:24.47659+00:00. This notice travels one citation hop only.

Observation e860d28b-8101-48e6-81a7-e9cc531df57c · outbound

This paper cites The operational medium-range deterministic weather forecasting can be extended beyond a 10-day lead time.Commun.

Tyan-WP: A Wind Power Foundation Model for Ultra-Short-Term Probabilistic Forecasting The operational medium-range deterministic weather forecasting can be extended beyond a 10-day lead time.Commun

Reference 51

Resolution: verified exact; doi, observed 2026-06-27T19:01:08.182382Z

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