Monthly electric demand forecasting with neural filters

Miguel A. Jaramillo-Morán; Eva González‐Romera; Diego Carmona-Fernández

doi:10.1016/j.ijepes.2013.01.019

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Monthly electric demand forecasting with neural filters

Miguel A. Jaramillo-Morán Eva González‐Romera Diego Carmona-Fernández

Year: 2013 Journal: International Journal of Electrical Power & Energy Systems Vol: 49 Pages: 253-263 Publisher: Elsevier BV

DOI: 10.1016/j.ijepes.2013.01.019

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Keywords:

Artificial neural network Series (stratigraphy) Perceptron Multilayer perceptron Filter (signal processing) Demand forecasting Computer science Time series Moving average Process (computing) Artificial intelligence Machine learning Mathematics Operations research

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Topics

Energy Load and Power Forecasting

Physical Sciences → Engineering → Electrical and Electronic Engineering

Stock Market Forecasting Methods

Social Sciences → Decision Sciences → Management Science and Operations Research

Neural Networks and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Monthly electric demand forecasting with neural filters

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