DocumentCode :
1679607
Title :
Electric power systems load forecasting: a survey
Author :
Lotufo, A.D.P. ; Minussi, C.R.
Author_Institution :
DEE/FEIS/UNESP, Sao Paulo, Brazil
fYear :
1999
Firstpage :
36
Abstract :
This work reviews the latest works on load forecasting, classifying them according to presented methods and models, as statistical, intelligent systems, neural networks and fuzzy logic. As there are many different models and methods, we have studied the principal ones considering classical statistical and modern methods like neural networks and fuzzy logic. We emphasize the importance of load forecasting in modern operation centers, and conclude that nowadays the most used forecasting methods are the neural networks and fuzzy logic, but the statistical ones continue being used although to a lesser extent.
Keywords :
artificial intelligence; fuzzy logic; load forecasting; neural nets; power system analysis computing; fuzzy logic; intelligent systems; modern operation centers; neural networks; power systems load forecasting; prediction methods; statistical methods; Fuzzy logic; Intelligent networks; Intelligent systems; Load forecasting; Load modeling; Mathematical model; Neural networks; Power system modeling; Power system reliability; Predictive models;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electric Power Engineering, 1999. PowerTech Budapest 99. International Conference on
Conference_Location :
Budapest, Hungary
Print_ISBN :
0-7803-5836-8
Type :
conf
DOI :
10.1109/PTC.1999.826467
Filename :
826467
Link To Document :
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