Spatial electric load forecasting using an evolutionary heuristic
Loading...
External sources
External sources
Date
Advisor
Coadvisor
Graduate program
Undergraduate course
Journal Title
Journal ISSN
Volume Title
Publisher
Sociedade Brasileira de Automática
FapUNIFESP (SciELO)
FapUNIFESP (SciELO)
Type
Article
Access right
Acesso aberto
External sources
External sources
Abstract
A method for spatial electric load forecasting using elements from evolutionary algorithms is presented. The method uses concepts from knowledge extraction algorithms and linguistic rules' representation to characterize the preferences for land use into a spatial database. The future land use preferences in undeveloped zones in the electrical utility service area are determined using an evolutionary heuristic, which considers a stochastic behavior by crossing over similar rules. The method considers development of new zones and also redevelopment of existing ones. The results are presented in future preference maps. The tests in a real system from a midsized city show a high rate of success when results are compared with information gathered from the utility planning department. The most important features of this method are the need for few data and the simplicity of the algorithm, allowing for future scalability.
Description
Language
English
Citation
Sba: Controle & Automação Sociedade Brasileira de Automatica. Sociedade Brasileira de Automática, v. 21, n. 4, p. 379-388, 2010.
