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
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"
Conference_Titel :
Neural Networks, 2000. IJCNN 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on
Print_ISBN :
0-7695-0619-4
DOI :
10.1109/IJCNN.2000.859402