GA-ANN Short-Term Electricity Load Forecasting

This paper presents a methodology for short-term load forecasting based on genetic algorithm feature selection and artificial neural network modeling. A feed forward artificial neural network is used to model the 24-h ahead load based on past consumption, weather and stock index data. A genetic algo...

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Bibliographic Details
Main Author: Viegas, Joaquim (author)
Other Authors: Vieira, Susana M. (author), Melício, Rui (author), Mendes, Victor (author), Sousa, João (author)
Format: bookPart
Language:eng
Published: 2017
Subjects:
Load forecasting
Genetic algorithm
Feature selection
Artificial neural networks
Online Access:http://hdl.handle.net/10174/19925
Country:Portugal
Oai:oai:dspace.uevora.pt:10174/19925

Internet

http://hdl.handle.net/10174/19925

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