ANN-based short-term load forecasting in Bogotá

Juan Carlos Mejía; María Elsa Correal

doi:10.1109/tdc-la.2008.4641825

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ANN-based short-term load forecasting in Bogotá

Juan Carlos Mejía María Elsa Correal

Year: 2008 Pages: 1-9

DOI: 10.1109/tdc-la.2008.4641825

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Abstract

This paper proposes four different models for an Artificial Neural Network (ANN) based on short term load forecasting. Historical load data from Bogota from 2000 to 2007 is used for testing, showing the good performance of the different methods.

Keywords:

Term (time) Artificial neural network Computer science Artificial intelligence

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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

ANN-based short-term load forecasting in Bogotá

Abstract

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