Globalization for Scalable Short-term Load Forecasting | Paper Citation Record

Observation c5b0e8e2-82e1-4149-8cb8-01cb18e7450f · outbound

This paper cites Madeira, and Alexandre P.

Globalization for Scalable Short-term Load Forecasting Madeira, and Alexandre P

Reference 1

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Observation 50b31b3d-620a-46b9-b639-a0e09c8ef479 · outbound

This paper cites ”A scalable ensemble approach to forecast the electricity consumption of households.” IEEE Transactions on Smart Grid 14, no.

Globalization for Scalable Short-term Load Forecasting ”A scalable ensemble approach to forecast the electricity consumption of households.” IEEE Transactions on Smart Grid 14, no

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:09:29.883839Z

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Observation 9d982fb6-f0e4-4ed0-9d46-cb705c1d7b0a · outbound

This paper cites ”Global models for time series forecasting: A simulation study.” Pat- tern Recognition 124 (2022): 108441.

Globalization for Scalable Short-term Load Forecasting ”Global models for time series forecasting: A simulation study.” Pat- tern Recognition 124 (2022): 108441

Reference 3

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Observation 08247c4b-1b02-4fd7-8981-27eef461dab1 · outbound

This paper cites an unresolved cited work.

Globalization for Scalable Short-term Load Forecasting Unresolved cited work

Reference 4

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This paper cites an unresolved cited work.

Globalization for Scalable Short-term Load Forecasting Unresolved cited work

Reference 6

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Observation 7aff70bc-78df-4456-a14b-4945387f2dcc · outbound

This paper cites ”A hybrid deep meta-ensemble networks with application in electric utility industry load forecasting.” Information Sciences 544 (2021): 183-196.

Globalization for Scalable Short-term Load Forecasting ”A hybrid deep meta-ensemble networks with application in electric utility industry load forecasting.” Information Sciences 544 (2021): 183-196

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:09:28.724784Z

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Globalization for Scalable Short-term Load Forecasting Unresolved cited work

Reference 8

Resolution: unresolved; raw_fallback, observed 2026-08-06T17:09:28.534977Z

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Observation b5da6440-7d33-4b31-ada0-bd3a90ba81ef · outbound

This paper cites Assessing the performance of deep learning mod- els for multivariate probabilistic energy forecasting.” Applied Energy 285 (2021): 116405.

Globalization for Scalable Short-term Load Forecasting Assessing the performance of deep learning mod- els for multivariate probabilistic energy forecasting.” Applied Energy 285 (2021): 116405

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:09:28.360801Z

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Observation b8a4313a-a37a-41fd-9c18-4c90d2e28379 · outbound

This paper cites ”LSTM-MSNet: Leveraging forecasts on sets of related time series with multiple seasonal patterns.” IEEE Transactions on neural networks and learning systems 32, no.

Globalization for Scalable Short-term Load Forecasting ”LSTM-MSNet: Leveraging forecasts on sets of related time series with multiple seasonal patterns.” IEEE Transactions on neural networks and learning systems 32, no

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:09:28.113574Z

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Observation 534e6cff-e7af-4720-95b1-bc088d494d5b · outbound

This paper cites ”Cri- teria for classifying forecasting methods.” International Journal of Fore- casting 36, no.

Globalization for Scalable Short-term Load Forecasting ”Cri- teria for classifying forecasting methods.” International Journal of Fore- casting 36, no

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:09:27.822921Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 4dd47036-0824-4f16-a061-c8249eddd8c6 · outbound

This paper cites ”Re- current neural networks for time series forecasting: Current status and future directions.” International Journal of Forecasting 37, no.

Globalization for Scalable Short-term Load Forecasting ”Re- current neural networks for time series forecasting: Current status and future directions.” International Journal of Forecasting 37, no

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:09:27.613281Z

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Observation 432648b8-a765-48af-bd96-f62fc4841f5a · outbound

This paper cites ”Deciding When to Use a Personalized Model for Load Forecasting.” IEEE Transactions on Smart Grid (2024).

Globalization for Scalable Short-term Load Forecasting ”Deciding When to Use a Personalized Model for Load Forecasting.” IEEE Transactions on Smart Grid (2024)

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:09:27.382654Z

Source-reported events for the cited work

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Observation eca99a33-29c9-41c1-b0a6-9e13f3f8e2ec · outbound

This paper cites Local vs. Global Models for Hierarchical Forecasting.

Globalization for Scalable Short-term Load Forecasting Local vs. Global Models for Hierarchical Forecasting

Reference 14

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Observation a9af621c-9f95-4347-a00a-b0d75c80d1f3 · outbound

This paper cites ”Deep federated learning-based privacy- preserving wind power forecasting.” IEEE Access 11 (2022): 39521- 39530.

Globalization for Scalable Short-term Load Forecasting ”Deep federated learning-based privacy- preserving wind power forecasting.” IEEE Access 11 (2022): 39521- 39530

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:09:27.183346Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 8eb11bdf-2d03-41f1-92b8-f7c1b4a1956a · outbound

This paper cites ”Privacy-preserving federated learning for residential short-term load forecasting.” Applied energy 326 (2022): 119915.

Globalization for Scalable Short-term Load Forecasting ”Privacy-preserving federated learning for residential short-term load forecasting.” Applied energy 326 (2022): 119915

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:09:26.980753Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 50efeac2-271a-42f6-a609-e9c86e9c681e · outbound

This paper cites ”A global modeling framework for load forecasting in distribution networks.” IEEE Transactions on Smart Grid 14, no.

Globalization for Scalable Short-term Load Forecasting ”A global modeling framework for load forecasting in distribution networks.” IEEE Transactions on Smart Grid 14, no

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:09:26.608099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d0a60534-35f8-456b-bcf1-ad9e50de9389 · outbound

This paper cites ”Time- series extreme event forecasting with neural networks at uber.” In In- ternational conference on machine learning, vol.

Globalization for Scalable Short-term Load Forecasting ”Time- series extreme event forecasting with neural networks at uber.” In In- ternational conference on machine learning, vol

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:09:26.297002Z

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Observation d63062cc-5dd9-429d-8b7a-494ebf99967f · outbound

This paper cites ”Forecasting across time series databases using recurrent neural networks on groups of similar series: A clustering approach.” Expert systems with applications 140 (2020): 112896.

Globalization for Scalable Short-term Load Forecasting ”Forecasting across time series databases using recurrent neural networks on groups of similar series: A clustering approach.” Expert systems with applications 140 (2020): 112896

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:09:25.980519Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 5747beae-1d20-42aa-a013-d9f6d185c4be · outbound

This paper cites ”Improving the accuracy of global forecasting models using time series data augmentation.” Pattern Recognition 120 (2021): 108148.

Globalization for Scalable Short-term Load Forecasting ”Improving the accuracy of global forecasting models using time series data augmentation.” Pattern Recognition 120 (2021): 108148

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:09:25.769318Z

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Observation 911d16e3-798d-42f1-906b-d090baa4724f · outbound

This paper cites ”Tam- ing local effects in graph-based spatiotemporal forecasting.” Advances in Neural Information Processing Systems 36 (2024).

Globalization for Scalable Short-term Load Forecasting ”Tam- ing local effects in graph-based spatiotemporal forecasting.” Advances in Neural Information Processing Systems 36 (2024)

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:09:25.595770Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation c5a7a5d8-29ce-4208-a827-d0b9f62840fb · outbound

This paper cites an unresolved cited work.

Globalization for Scalable Short-term Load Forecasting Unresolved cited work

Reference 23

Resolution: unresolved; raw_fallback, observed 2026-08-06T17:09:25.439712Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 5d88beb4-14c5-406f-bf45-513ffe3e6794 · outbound

This paper cites ”DeepAR: Probabilistic forecasting with autoregressive recurrent networks.” International Journal of Forecasting 36, no.

Globalization for Scalable Short-term Load Forecasting ”DeepAR: Probabilistic forecasting with autoregressive recurrent networks.” International Journal of Forecasting 36, no

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:09:25.297795Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 0db09121-1a77-41be-9d46-f360c0f59871 · outbound

This paper cites ”When and How to Use Global Forecasting Methods on Heterogeneous Datasets.” Available at SSRN 4629272 (2023).

Globalization for Scalable Short-term Load Forecasting ”When and How to Use Global Forecasting Methods on Heterogeneous Datasets.” Available at SSRN 4629272 (2023)

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:09:25.021073Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a6d291d5-3456-49c8-a1ee-b4828d3f59d4 · outbound

This paper cites Graph Deep Learning for Time Series Forecasting.

Globalization for Scalable Short-term Load Forecasting Graph Deep Learning for Time Series Forecasting

Reference 26

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Observation 622a7687-9216-4115-932a-d64beb8c0aa5 · outbound

This paper cites ”Handling concept drift in global time series forecasting.” In Forecasting with Artificial Intelligence: Theory and Applications, pp.

Globalization for Scalable Short-term Load Forecasting ”Handling concept drift in global time series forecasting.” In Forecasting with Artificial Intelligence: Theory and Applications, pp

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:09:26.121344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 83b89481-bc80-4b27-bac4-02524e6b868c · outbound

This paper cites Webb, Slawek Smyl, and Christoph Bergmeir.

Globalization for Scalable Short-term Load Forecasting Webb, Slawek Smyl, and Christoph Bergmeir

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:09:24.880413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 9646f74d-1b68-4453-b44c-3cb9fab33209 · outbound

This paper cites an unresolved cited work.

Globalization for Scalable Short-term Load Forecasting Unresolved cited work

Reference 29

Resolution: unresolved; raw_fallback, observed 2026-08-06T17:09:24.740829Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 70be3f0e-8a9f-4571-8099-3798c00d3775 · outbound

This paper cites ”Closed- loop Clustering-based Global Bandwidth Prediction in Real-Time Video Streaming.” IEEE Transactions on Machine Learning in Communica- tions and Networking, vol.

Globalization for Scalable Short-term Load Forecasting ”Closed- loop Clustering-based Global Bandwidth Prediction in Real-Time Video Streaming.” IEEE Transactions on Machine Learning in Communica- tions and Networking, vol

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:09:24.578241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 01b59e19-4ed7-4155-9fc9-4c120f71803c · outbound

This paper cites an unresolved cited work.

Globalization for Scalable Short-term Load Forecasting Unresolved cited work

Reference 31

Resolution: unresolved; raw_fallback, observed 2026-08-06T17:09:24.364390Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation fb13eaf1-22c0-41c8-82ec-e5c3f26e53cc · outbound

This paper cites an unresolved cited work.

Globalization for Scalable Short-term Load Forecasting Unresolved cited work

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 9035e80a-9d9e-4ca7-b89d-6d23c069bca1 · outbound

This paper cites ”Specialist vs generalist: A transformer architecture for global forecasting energy time series.” In 2022 15th In- ternational Conference on Human System Interaction (HSI), pp.

Globalization for Scalable Short-term Load Forecasting ”Specialist vs generalist: A transformer architecture for global forecasting energy time series.” In 2022 15th In- ternational Conference on Human System Interaction (HSI), pp

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:09:24.052973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 43b4f545-acd2-4c25-b112-9219078ac378 · outbound

This paper cites ”Next-day Load Forecasting with Smart Meter Data Using Global Recurrent Neural Networks.”.

Globalization for Scalable Short-term Load Forecasting ”Next-day Load Forecasting with Smart Meter Data Using Global Recurrent Neural Networks.”

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:09:23.871566Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation c02f23a5-6e0f-44e3-ba99-032fba7a4ac6 · outbound

This paper cites ”Deep learning for household load forecasting—A novel pooling deep RNN.” IEEE Transactions on Smart Grid 9, no.

Globalization for Scalable Short-term Load Forecasting ”Deep learning for household load forecasting—A novel pooling deep RNN.” IEEE Transactions on Smart Grid 9, no

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:09:23.514694Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 36da6ab4-a25c-462c-96a0-bfd8203bbbd2 · outbound

This paper cites ”Short-term forecasting of individual residential load based on deep learning and K- means clustering.” CSEE Journal of Power and Energy Systems 7, no.

Globalization for Scalable Short-term Load Forecasting ”Short-term forecasting of individual residential load based on deep learning and K- means clustering.” CSEE Journal of Power and Energy Systems 7, no

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:09:23.312215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 9c6df94d-1af2-4589-bdc1-5b463a119d28 · outbound

This paper cites ”Individual load forecasting for multi-customers with distribution-aware temporal pooling.” In IEEE 60 INFOCOM 2021-IEEE Conference on Computer Communications, pp.

Globalization for Scalable Short-term Load Forecasting ”Individual load forecasting for multi-customers with distribution-aware temporal pooling.” In IEEE 60 INFOCOM 2021-IEEE Conference on Computer Communications, pp

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:09:23.003826Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 525971f1-a433-49a7-9482-90942ec1ef1f · outbound

This paper cites ”Residential load forecasting based on LSTM fusing self-attention mechanism with pooling.” Energy 229 (2021): 120682.

Globalization for Scalable Short-term Load Forecasting ”Residential load forecasting based on LSTM fusing self-attention mechanism with pooling.” Energy 229 (2021): 120682

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:09:22.812733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 4a0f529c-efc8-4b10-85cb-b81e1f638dae · outbound

This paper cites ”Individual load forecasting for multi-customers with distribution-aware temporal pooling.” In IEEE INFOCOM 2021-IEEE Conference on Computer Communications, pp.

Globalization for Scalable Short-term Load Forecasting ”Individual load forecasting for multi-customers with distribution-aware temporal pooling.” In IEEE INFOCOM 2021-IEEE Conference on Computer Communications, pp

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:09:22.678369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 155f72f6-d364-4266-9ebf-924d9823e597 · outbound

This paper cites ”Temporal data pooling with meta- initialization for individual short-term load forecasting.” IEEE Transac- tions on Smart Grid 14, no.

Globalization for Scalable Short-term Load Forecasting ”Temporal data pooling with meta- initialization for individual short-term load forecasting.” IEEE Transac- tions on Smart Grid 14, no

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:09:29.235157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 1777299b-06ac-44e9-9114-e4d47027f36d · outbound

This paper cites ”Personalized federated learning with theoretical guarantees: A model-agnostic meta- learning approach.” Advances in neural information processing systems 33 (2020): 3557-3568.

Globalization for Scalable Short-term Load Forecasting ”Personalized federated learning with theoretical guarantees: A model-agnostic meta- learning approach.” Advances in neural information processing systems 33 (2020): 3557-3568

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:09:22.475714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 3a3ea8ea-17ba-4111-a822-5db27989b80e · outbound

This paper cites ”Personalized feder- ated learning with moreau envelopes.” Advances in neural information processing systems 33 (2020): 21394-21405.

Globalization for Scalable Short-term Load Forecasting ”Personalized feder- ated learning with moreau envelopes.” Advances in neural information processing systems 33 (2020): 21394-21405

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:09:22.147213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 05cfddcb-03b6-4951-b4b1-4f3e2d0576c2 · outbound

This paper cites Federated Learning with Personalization Layers.

Globalization for Scalable Short-term Load Forecasting Federated Learning with Personalization Layers

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Resolution: unresolved; no resolver link, observed 2026-08-06T17:09:16.251586Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 87300aed-4a4b-4f1c-8b0e-880530fc46d0 · outbound

This paper cites ”A transformer-based method of multienergy load fore- casting in integrated energy system.” IEEE Transactions on Smart Grid 13, no.

Globalization for Scalable Short-term Load Forecasting ”A transformer-based method of multienergy load fore- casting in integrated energy system.” IEEE Transactions on Smart Grid 13, no

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:09:21.952742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 583d9e6d-b2f2-4205-9aee-62b34911d976 · outbound

This paper cites ”A global modeling framework for load forecasting in distribution networks.” IEEE Transactions on Smart Grid 14, no.

Globalization for Scalable Short-term Load Forecasting ”A global modeling framework for load forecasting in distribution networks.” IEEE Transactions on Smart Grid 14, no

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:09:21.801728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 95ea189c-7dc3-48ff-a5fc-416da2460955 · outbound

This paper cites ”Wielding Occam’s razor: Fast and frugal retail forecast- ing.” Journal of the Operational Research Society (2024): 1-20.

Globalization for Scalable Short-term Load Forecasting ”Wielding Occam’s razor: Fast and frugal retail forecast- ing.” Journal of the Operational Research Society (2024): 1-20

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:09:21.644767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 99e34ff3-ee54-4f25-9d3e-401adc620284 · outbound

This paper cites ”Time-series clustering–a decade review.” Information systems 53 (2015): 16-38.

Globalization for Scalable Short-term Load Forecasting ”Time-series clustering–a decade review.” Information systems 53 (2015): 16-38

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:09:21.380608Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 69be582a-4128-4e5d-8f4d-5790e4776470 · outbound

This paper cites Hourly Load by Area and Region.

Globalization for Scalable Short-term Load Forecasting Hourly Load by Area and Region

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:09:21.123699Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 4b00a98a-7f47-49b1-8fbb-30aa18f7670c · outbound

This paper cites Last modified June 23, 2020.

Globalization for Scalable Short-term Load Forecasting Last modified June 23, 2020

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:09:20.796711Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ab5773ec-520d-40ea-bfb0-0c8e1194d872 · outbound

This paper cites Accessed November 12, 2024.

Globalization for Scalable Short-term Load Forecasting Accessed November 12, 2024

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:09:20.452717Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 7d00db9d-842d-479e-a854-6df10d282878 · outbound

This paper cites Accessed November 12, 2024.

Globalization for Scalable Short-term Load Forecasting Accessed November 12, 2024

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:09:20.209471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 7f51ff62-346b-4292-9a21-7b69917b00cd · outbound

This paper cites ”Exploring progress in multivariate time series forecasting: Comprehensive benchmarking and heterogeneity analysis.” IEEE Transactions on Knowledge and Data Engineering (2024).

Globalization for Scalable Short-term Load Forecasting ”Exploring progress in multivariate time series forecasting: Comprehensive benchmarking and heterogeneity analysis.” IEEE Transactions on Knowledge and Data Engineering (2024)

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:09:20.014915Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 213ddee5-8732-4346-89b7-a2466fa8c2a9 · outbound

This paper cites an unresolved cited work.

Globalization for Scalable Short-term Load Forecasting Unresolved cited work

Reference 53

Resolution: unresolved; raw_fallback, observed 2026-08-06T17:09:19.728946Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 4bf7d0b9-6eb2-4d1e-8b42-dc35cf263930 · outbound

This paper cites ”Benchmarking robustness of load forecasting models under data integrity attacks.” International Journal of Forecasting 34, no.

Globalization for Scalable Short-term Load Forecasting ”Benchmarking robustness of load forecasting models under data integrity attacks.” International Journal of Forecasting 34, no

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:09:19.555966Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation f8fac684-5b61-4417-8010-8cb6dca8b4a9 · outbound

This paper cites Core Concepts and Methods in Load Forecasting: With Applications in Distribution Networks.

Globalization for Scalable Short-term Load Forecasting Core Concepts and Methods in Load Forecasting: With Applications in Distribution Networks

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:09:19.372303Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d0d933cf-4836-480b-8cdb-8811ed9e3d7e · outbound

This paper cites ”Analysis and clustering of residential customers energy behavioral demand using smart meter data.” IEEE transactions on smart grid 7, no.

Globalization for Scalable Short-term Load Forecasting ”Analysis and clustering of residential customers energy behavioral demand using smart meter data.” IEEE transactions on smart grid 7, no

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:09:19.282254Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 94edf060-0527-4bfd-8899-07d1ff2b1a9b · outbound

This paper cites Energy Information Administration.

Globalization for Scalable Short-term Load Forecasting Energy Information Administration

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:09:19.257807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation dc0c9027-26e6-4e5b-ae4f-7f39fa231d5f · outbound

This paper cites Taylor, and Rob J.

Globalization for Scalable Short-term Load Forecasting Taylor, and Rob J

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:09:18.960911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 05c75203-2852-438c-807d-e8961db1c02c · outbound

This paper cites ”Deep sequence to sequence Bi-LSTM neural networks for day-ahead peak load forecasting.” Expert Systems with Applications 175 (2021): 114844.

Globalization for Scalable Short-term Load Forecasting ”Deep sequence to sequence Bi-LSTM neural networks for day-ahead peak load forecasting.” Expert Systems with Applications 175 (2021): 114844

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:09:18.829044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 5e83aadb-f55b-4279-8c86-b1aa00cb59b2 · outbound

This paper cites ”Mul- tivariate empirical mode decomposition based hybrid model for day- ahead peak load forecasting.” Energy 239 (2022): 122245.

Globalization for Scalable Short-term Load Forecasting ”Mul- tivariate empirical mode decomposition based hybrid model for day- ahead peak load forecasting.” Energy 239 (2022): 122245

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:09:18.635537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation fb70df02-171d-4d6b-812e-026b6db82547 · outbound

This paper cites an unresolved cited work.

Globalization for Scalable Short-term Load Forecasting Unresolved cited work

Reference 2013

Resolution: unresolved; raw_fallback, observed 2026-08-06T17:09:19.121829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Reference resolution

Outbound references

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