Short-Term Net Load Forecasting with Singular Spectrum Analysis and LSTM Neural Networks

Short-term electricity load forecasting is key to the safe, reliable, and economical operation of power systems. An important challenge that arises with high-frequency load series, e.g., hourly load, is how to deal with the complex seasonal patterns that are present. Standard approaches suggest eith...

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Autors principals:	Akylas Stratigakos, Athanasios Bachoumis, Vasiliki Vita, Elias Zafiropoulos
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2021-07-01
Col·lecció:	Energies
Matèries:	LSTM short-term load forecasting singular spectrum analysis time series decomposition
Accés en línia:	https://www.mdpi.com/1996-1073/14/14/4107
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