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