Prediction of LV Substation Load Curves with Fuzzy Inference Systems

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2004

Autores

Tatjana Konjic (Autor) Outra; Vladimiro Miranda (Autor) FEUP; Izudin Kapetanovic (Autor) Outra

Ata de Conferência Internacional

Título: Proceedings of the 8th PMAPS - Int. Conf. on Probabilistic Methods Applied to Power Systems

Páginas: 129 -134

8th PMAPS - Int. Conf. on Probabilistic Methods Applied to Power Systems

Classificação Científica

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

CORDIS: Ciências Tecnológicas > Engenharia > Engenharia electrotécnica

Outras Informações

Abstract (EN): This paper reports the building of a system for predicting load cuwes at Low Voltage Substations supplying a set of consnmers of daerent types (residential, industrial, etc.). Tho system is built by the aggregation of individual Fu~y Inference Systems of the Talugi-Sugeno type. The paper describes how actual measurements formed a base of raw data and how test and training sets could he built from this base. Results produced by the prediction system and their comparison with actual load curves confirm the good performance of the model

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 6