DocumentCode :
3782977
Title :
Uncertainty of the short-term electrical load forecasting in utilities
Author :
W. Bartkiewicz;Z. Gontar;J.S. Zielinski;W. Bardzki
Author_Institution :
Dept. of Comput. Sci., Lodz Univ., Poland
Volume :
6
fYear :
2000
Firstpage :
235
Abstract :
This paper investigates the problem of the short-term electrical load forecasting (STLF) in medium size utility. The model consisted of ensemble of the neural predictors with special heuristic input selection procedure is presented. We also discuss the problem of uncertainties involved in load forecasts, and confidence intervals calculation methods for neural STLF predictors.
Keywords :
"Uncertainty","Load forecasting","Artificial neural networks","Power systems","Fuzzy logic","Artificial intelligence","Computer science","Predictive models","Bibliographies","Power system analysis computing"
Publisher :
ieee
Conference_Titel :
Neural Networks, 2000. IJCNN 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on
ISSN :
1098-7576
Print_ISBN :
0-7695-0619-4
Type :
conf
DOI :
10.1109/IJCNN.2000.859402
Filename :
859402
Link To Document :
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