Very Short-Term Load Forecaster Based on a Neural Network Technique for Smart Grid Control

Very Short-Term Load Forecaster Based on a Neural Network Technique for Smart Grid Control

Electrical load forecasting plays a crucial role in the proper scheduling and operation of power systems. To ensure the stability of the electrical network, it is necessary to balance energy generation and demand. Hence, different very short-term load forecast technologies are being designed to impr...

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Bibliographic Details
Main Authors:	Fermín Rodríguez, Fernando Martín, Luis Fontán, Ainhoa Galarza
Format:	Article
Language:	English
Published:	MDPI AG 2020-10-01
Series:	Energies
Subjects:	smart grid energy demand very short-term forecaster
Online Access:	https://www.mdpi.com/1996-1073/13/19/5210

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