Short-Term Power Forecasting Framework for Microgrids Using Combined Baseline and Regression Models

Short-Term Power Forecasting Framework for Microgrids Using Combined Baseline and Regression Models

Short-term electric power forecasting is a tool of great interest for power systems, where the presence of renewable and distributed generation sources is constantly growing. Specifically, this type of forecasting is essential for energy management systems in buildings, industries and microgrids for...

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Bibliographic Details
Main Authors: Antonio Parejo, Stefano Bracco, Enrique Personal, Diego Francisco Larios, Federico Delfino, Carlos León
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:Applied Sciences
Subjects:
short-term forecasting
multistep forecasting
artificial neural networks
renewable energy sources
smart grids
microgrids
Online Access:https://www.mdpi.com/2076-3417/11/14/6420

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