A Two-Stage Short-Term Load Forecasting Method Using Long Short-Term Memory and Multilayer Perceptron

Load forecasting is an essential task in the operation management of a power system. Electric power companies utilize short-term load forecasting (STLF) technology to make reasonable power generation plans. A forecasting model with low prediction errors helps reduce operating costs and risks for the...

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Principais autores:	Yuhong Xie, Yuzuru Ueda, Masakazu Sugiyama
פורמט:	Artigo
שפה:	Inglês
יצא לאור:	MDPI AG 2021-09-01
סדרה:	Energies
נושאים:	short-term load forecast hybrid model long short-term memory multilayer perceptron sequence-to-sequence
גישה מקוונת:	https://www.mdpi.com/1996-1073/14/18/5873
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