Transformer training strategies for forecasting multiple load time series

Abstract In the smart grid of the future, accurate load forecasts on the level of individual clients can help to balance supply and demand locally and to prevent grid outages. While the number of monitored clients will increase with the ongoing smart meter rollout, the amount of data per client will...

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Principais autores:	Matthias Hertel, Maximilian Beichter, Benedikt Heidrich, Oliver Neumann, Benjamin Schäfer, Ralf Mikut, Veit Hagenmeyer
Format:	Artigo
Jezik:	Inglês
Izdano:	SpringerOpen 2023-10-01
Serija:	Energy Informatics
Teme:	Load forecasting Transformer Global model Time series Smart grid
Online dostop:	https://doi.org/10.1186/s42162-023-00278-z
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