Bayesian Optimized Echo State Network Applied to Short-Term Load Forecasting

Bayesian Optimized Echo State Network Applied to Short-Term Load Forecasting

Load forecasting impacts directly financial returns and information in electrical systems planning. A promising approach to load forecasting is the Echo State Network (ESN), a recurrent neural network for the processing of temporal dependencies. The low computational cost and powerful performance of...

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Bibliographic Details
Main Authors:	Gabriel Trierweiler Ribeiro, João Guilherme Sauer, Naylene Fraccanabbia, Viviana Cocco Mariani, Leandro dos Santos Coelho
Format:	Article
Language:	English
Published:	MDPI AG 2020-05-01
Series:	Energies
Subjects:	Bayesian optimization echo state networks short-term load forecasting
Online Access:	https://www.mdpi.com/1996-1073/13/9/2390

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