Scenario Identification Process in Fuzzy Spatial Load Forecasting

• Type: Article in International Conference Proceedings Book
• Date: 2000

Authors

Cláudio Monteiro (Author) FEUP; Vladimiro Miranda (Author) FEUP; Maria Teresa Ponce de Leão (Author) FEUP

Conference proceedings International

Title: Proceedings of the 6th PMAPS - Int. Conf. on Probabilistic Methods Applied to Power Systems

Pages: 1-8

6th PMAPS - Int. Conf. on Probabilistic Methods Applied to Power Systems

Scientific classification

FOS: Engineering and technology > Other engineering and technologies

Other information

Abstract (EN): : In this paper we present a Spatial Load Forecasting (SLF) model based on Fuzzy Inference and Cellular Automata. The first part of the paper describes the Fuzzy SLF model, the training process, the implementation on a Geographical Information System (GIS) and the Fuzzy SLF functionality over a multiple time stages. In its second part the paper discuses the environment assessment for decision process by identifying scenarios resulting from geographical non-repetitive events.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 8