Analysis of Different Neural Networks and a New Architecture for Short-Term Load Forecasting

Short-term load forecasting (STLF) has been widely studied because it plays a very important role in improving the economy and security of electric system operations. Many types of neural networks have been successfully used for STLF. In most of these methods, common neural networks were used, but w...

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Opis bibliograficzny

Główni autorzy:	Lintao Yang, Honggeng Yang
Format:	Artigo
Język:	Inglês
Wydane:	MDPI AG 2019-04-01
Seria:	Energies
Hasła przedmiotowe:	short-term load forecasting back-propagation neural network recurrent neural network long-short term memory gate-recurrent neural network
Dostęp online:	https://www.mdpi.com/1996-1073/12/8/1433
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