Fuzzy Neural Network Models for Electrical Load Forecasting

Author

Jakapun Mepokee
David Lee Enke, Missouri University of Science and TechnologyFollow
Cihan H. Dagli, Missouri University of Science and TechnologyFollow

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).

Recommended Citation

J. Mepokee et al., "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, American Society of Mechanical Engineers (ASME), Jan 2004.

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

01 Jan 2004