D. Srinivasan et al., Practical implementation of a hybrid fuzzy neural network for one-day-ahead load forecasting, IEE P-GEN T, 145(6), 1998, pp. 687-692
Citations number
14
Categorie Soggetti
Eletrical & Eletronics Engineeing
Journal title
IEE PROCEEDINGS-GENERATION TRANSMISSION AND DISTRIBUTION
The paper presents the development and practical implementation of a hybrid
shortterm electrical load forecasting model for a power system control cen
tre. This hybrid architecture incorporates a Kohonen self-organising featur
e map with unsupervised learning for classification of daily load patterns,
a supervised backpropagation neural network for mapping the temperature/lo
ad relationship, and a fuzzy expert system for postprocessing of neural net
work outputs. This load forecaster requires minimum operator intervention a
nd can be trained adaptively on-line. The developed model has been tested e
xtensively in the actual operating environment and has been shown to outper
form the existing regression-based model.