One-day prediction of electricity load reflecting future RCS schedule

Journal of Forecasting

Volumn 15, Issue 6, 1996, Pages 427-435

  Pelikán, Emil ^a,c,d,e   Eben, Kryštof ^a,d,f,g   Petrak, Lubomír ^b,h  

^a INSTITUTE OF MATHEMATICS   (Czech Republic)

^b West Bohemian Power Co   (Czech Republic)

^c CZECH TECHNICAL UNIVERSITY IN PRAGUE   (Czech Republic)

^d INSTITUTE OF COMPUTER SCIENCE   (Czech Republic)

^e Institute of Computer Science

^f CHARLES UNIVERSITY   (Czech Republic)

^g Institute of Mathematics AS CR   (Czech Republic)

^h MOSCOW POWER ENGINEERING INSTITUTE   (Russian Federation)

Author keywords

Demand management; Model identification; Prediction

Indexed keywords

EID: 0003540134     PISSN: 02776693     EISSN: None     Source Type: Journal    
DOI: 10.1002/(SICI)1099-131X(199611)15:6<427::AID-FOR635>3.0.CO;2-F     Document Type: Article

References (4)

1. Böhm, V., Posseltová, V., Novák, M. and Pelikan, E., 'Neural network predicting system for electric load data in West Bohemia', Proceedings of the 'Intelligent System Application to Power System Conference, Montpellier, France, 1994, 857-863
2. Bunn, D. W. and Farmer, E. D. (eds), Comparative Models for Electrical Load Forecasting, Chichester: John Wiley, 1985
3. Niebur, D. et al., 'Artificial neural networks for power systems: A literature survey', Report of CIGRE TF 38.06.06, International Journal on Engineering Intelligent Systems. 1 (1993), 133-58
4. Pelikán, E., de Groot, C and Würtz, D., 'Power consumption in West Bohemia: improved forecasts with decorrelating connectionist networks', Neural Network World, 2 (1992), 701-12