Prediction of LV Substation Load Curves with Fuzzy Inference Systems

• Type: Article in International Conference Proceedings Book
• Date: 2004

Authors

Tatjana Konjic (Author) Other; Vladimiro Miranda (Author) FEUP; Izudin Kapetanovic (Author) Other

Conference proceedings International

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

Pages: 129 -134

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

Scientific classification

FOS: Engineering and technology > Electrical engineering, Electronic engineering, Information engineering

CORDIS: Technological sciences > Engineering > Electrical engineering

Other information

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

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 6