Title :
Fuzzy-neural network based short term peak and average load forecasting (STPALF) system with network security
Author :
Mandal, S.K. ; Agrawal, A.
Author_Institution :
SSGM Coll. of Eng., India
fDate :
27 Jul-1 Aug 1997
Abstract :
In this paper, an attempt is made to forecast load using fuzzy neural network (FNN) for an integrated power system. Here, the proposed system uses a two stage FNN for short-term peak and average load forecasting (STPALF). The first stage FNN deals with the load forecasting and the second stage algorithm can be worked independently for power network security. This technique is used to forecast load accurately on weekdays as well as holidays, weekends and some special occasions considering historical data of load and weather information and also take necessary control action for power network security
Keywords :
fuzzy neural nets; load forecasting; power system analysis computing; power system security; fuzzy neural network; integrated power system; power network security; second stage algorithm; short-term average load forecasting; short-term peak load forecasting; Artificial neural networks; Data security; Energy management; Fuzzy neural networks; Fuzzy systems; Information security; Load forecasting; Power system modeling; Power system security; Weather forecasting;
Conference_Titel :
Energy Conversion Engineering Conference, 1997. IECEC-97., Proceedings of the 32nd Intersociety
Conference_Location :
Honolulu, HI
Print_ISBN :
0-7803-4515-0
DOI :
10.1109/IECEC.1997.656766
