EngineeringEnvironmental ScienceComputer Science
Different Methods of Long-Term Electric Load Demand Forecasting a Comprehensive Review
L. Ghods, M. Kalantar
2011.12.10Iranian Journal of Electrical and Electronic Engineering
tlooto Summary
An overview of the past and current practice in long- term demand forecasting is presented, which consists of some traditional methods, neural networks, genetic algorithms, fuzzy rules, support vector machines, wavelet networks and expert systems.
Abstract
Abstract is not available.
Citation format
GHODS, L.; KALANTAR, M. Different methods of long-term electric load demand forecasting a comprehensive review. Iranian Journal of Electrical and Electronic Engineering, 2011, 7: 249–259.