Forecasting of the electric energy demand trend and monthly fluctuation with neural networks

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

doi:10.1016/j.cie.2006.12.010

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Forecasting of the electric energy demand trend and monthly fluctuation with neural networks

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

Year: 2007 Journal: Computers & Industrial Engineering Vol: 52 (3)Pages: 336-343 Publisher: Elsevier BV

DOI: 10.1016/j.cie.2006.12.010

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Keywords:

Mean absolute percentage error Demand forecasting Electricity Artificial neural network Econometrics Term (time) Work (physics) Series (stratigraphy) Electricity market Time series Energy market Computer science Energy (signal processing) Economics Operations research Statistics Engineering Artificial intelligence Mathematics Machine learning Electrical engineering

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Energy Load and Power Forecasting

Physical Sciences → Engineering → Electrical and Electronic Engineering

Image and Signal Denoising Methods

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Grey System Theory Applications

Social Sciences → Decision Sciences → Management Science and Operations Research

Forecasting of the electric energy demand trend and monthly fluctuation with neural networks

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