A self-adaptive evolutionary fuzzy model for load forecasting problems on smart grid environment.

The importance of load forecasting has been increasing lately and improving the use of energy resources remains a great challenge. The amount of data collected from Microgrid (MG) systems is growing while systems are becoming more sensitive, depending on small changes in the daily routine. The need...

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Bibliographic Details
Main Author: Coelho, Vitor Nazário (author)
Other Authors: Coelho, Igor Machado (author), Coelho, Bruno Nazário (author), Reis, Agnaldo José da Rocha (author), Enayatifar, Rasul (author), Souza, Marcone Jamilson Freitas (author), Guimarães, Frederico Gadelha (author)
Format: article
Language:eng
Published: 2016
Subjects:
Load forecasting
Smart grids
Microgrids
Fuzzy logics
Hybrid forecasting model
Online Access:https://doi.org/10.1016/j.apenergy.2016.02.045
Country:Brazil
Oai:oai:localhost:123456789/6785

Internet

https://doi.org/10.1016/j.apenergy.2016.02.045

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