Fuzzy-neural network based short term peak and average load forecasting (STPA LF) system with network security
Conference
·
OSTI ID:347621
- S.S.G.M. Coll. of Engineering (India)
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 a 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 network security. This technique is used to forecast load accurately on week days as well as holidays, weekends and some special occasions considering historical data of load and weather information and also take necessary control action for network security.
- OSTI ID:
- 347621
- Report Number(s):
- CONF-970701--
- Country of Publication:
- United States
- Language:
- English
Similar Records
Short term load forecasting using fuzzy neural networks
Demand forecasting using fuzzy neural computation, with special emphasis on weekend and public holiday forecasting
Parallel neural network-fuzzy expert system strategy for short-term load forecasting: System implementation and performance evaluation
Journal Article
·
Tue Aug 01 00:00:00 EDT 1995
· IEEE Transactions on Power Systems
·
OSTI ID:163051
Demand forecasting using fuzzy neural computation, with special emphasis on weekend and public holiday forecasting
Journal Article
·
Tue Oct 31 23:00:00 EST 1995
· IEEE Transactions on Power Systems
·
OSTI ID:160604
Parallel neural network-fuzzy expert system strategy for short-term load forecasting: System implementation and performance evaluation
Journal Article
·
Sun Aug 01 00:00:00 EDT 1999
· IEEE Transactions on Power Systems
·
OSTI ID:678015