Neural Networks Applied to Spatial Load Forecasting in GIS

• Tipo: Artigo em Revista Científica Internacional
• Data: 2004

Autores

José Nuno Fidalgo (Autor) FEUP

Revista

Título: WSEAS Transactions on Circuits and Systems

Vol. 3 Nº 1

ISSN: 1109-2734

Editora: World Scientific and Engineering Academy and Society (WSEAS) Press

Classificação Científica

FOS: Ciências da engenharia e tecnologias > Engenharia electrotécnica, electrónica e informática

CORDIS: Ciências Tecnológicas > Engenharia > Engenharia electrotécnica

Outras Informações

Abstract (EN): Quality spatial load forecasting is a major prerequisite for energy distribution systems planning. The load evolution outline depends on the urban expansion and its land usage. This paper presents a methodology for knowledge extraction of the data provided by a GIS (Geographical Information Systems) platform. The main goal consists of developing studies that lead to the understanding of the influence of geographical factors on the load growth patterns and energetic potential development. Kohonen maps and Artificial Neural Networks are used for data interpretation and spatial load forecasting purposes.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 6