Abstract
The Problem of Electrical Load Forecasting Presents Some Particularities, Compared to the Generic Problem of Time-Series Prediction. One of These Particularities is that Several Values (Corresponding to One Day of Consumption) Are Usually Expected as the Result of the Prediction. in This Paper, We Propose an Original Method Dividing the Problem into Three Parts: Prediction of the Daily Mean, of the Daily Standard Deviation and of the Normalized Daily Profile. for the Mean and the Standard Deviation, Radial Function Networks Are Used as Nonlinear Approximations. for the Normalized Profile, a Method based on Kohonen Maps is Proposed. This Method is Applied to the Prediction of the Polish Electricity Consumption.
Recommended Citation
A. Lendasse et al., "Prediction of Electric Load using Kohonen Maps - Application to the Polish Electricity Consumption," Proceedings of the American Control Conference, vol. 5, pp. 3684 - 3689, Institute of Electrical and Electronics Engineers, Jan 2002.
The definitive version is available at https://doi.org/10.1109/ACC.2002.1024500
Department(s)
Engineering Management and Systems Engineering
International Standard Serial Number (ISSN)
0743-1619
Document Type
Article - Journal
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2024 Institute of Electrical and Electronics Engineers, All rights reserved.
Publication Date
01 Jan 2002
