Publicação: Evolutionary heuristic to determine future land use
Carregando...
Data
Autores
Orientador
Coorientador
Pós-graduação
Curso de graduação
Título da Revista
ISSN da Revista
Título de Volume
Editor
Tipo
Trabalho apresentado em evento
Direito de acesso
Acesso aberto
Resumo
In the spatial electric load forecasting, the future land use determination is one of the most important tasks, and one of the most difficult, because of the stochastic nature of the city growth. This paper proposes a fast and efficient algorithm to find out the future land use for the vacant land in the utility service area, using ideas from knowledge extraction and evolutionary algorithms. The methodology was implemented into a full simulation software for spatial electric load forecasting, showing a high rate of success when the results are compared to information gathered from specialists. The importance of this methodology lies in the reduced set of data needed to perform the task and the simplicity for implementation, which is a great plus for most of the electric utilities without specialized tools for this planning activity. © 2008 IEEE.
Descrição
Palavras-chave
Distribution planning, Knowledge extraction, Land use, Spatial electric load forecasting, Electric load management, Electric loads, Electric tools, Electric utilities, Energy conversion, Evolutionary algorithms, Forecasting, Heuristic programming, Potential energy, Potential energy surfaces, Public utilities, Vibrations (mechanical), 21st century, Efficient algorithms, Electrical energy, High rates, Service areas, Simulation softwares, Specialized tools, Stochastic nature, Electric load forecasting
Idioma
Inglês
Como citar
IEEE Power and Energy Society 2008 General Meeting: Conversion and Delivery of Electrical Energy in the 21st Century, PES.
