Article
Fuzzy Neural Network Models for Electrical Load Forecasting
Intelligent Systems Through Artificial Neural Networks Smart Engineering Systems Design; Neural Networks, Fuzzy Logic, Evolutionary Programming Data Mining Complex Systems and Artificial Life
Abstract
The following illustrates some initial research activity conducted by the authors in the field of electrical load forecasting based on Artificial Neural Networks (ANN). This paper outlines the use of two neural network architectures: multi-layer feedforward and generalized regression neural networks. The best model bad its performance improved by adding fuzzy logic to create a Fuzzy Neural Network (FNN).
Department(s)
Engineering Management and Systems Engineering
Keywords and Phrases
- Artifical Neural Networks (ANN),
- Electrical Load Forecasting,
- Fuzzy Neural Network (FNN),
- Multilayer Feedforward
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2004 American Society of Mechanical Engineers (ASME), All rights reserved.
Publication Date
1-1-2004
Publication Date
01 Jan 2004
Citation Information
Jakapun Mepokee, David Lee Enke and Cihan H. Dagli. "Fuzzy Neural Network Models for Electrical Load Forecasting" Intelligent Systems Through Artificial Neural Networks Smart Engineering Systems Design; Neural Networks, Fuzzy Logic, Evolutionary Programming Data Mining Complex Systems and Artificial Life (2004) Available at: http://works.bepress.com/david-enke/14/