Prediction of IV substation load curves with fuzzy inference systems

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

Authors

T. Konjic (Author) Other; Vladimiro Miranda (Author) FEUP; I. Kapetanovic (Author) Other

Conference proceedings International

Title: 2004 International Conference on Probabilistic Methods Applied to Power Systems

Pages: 129-134

Indexing

ISI Web of Knowledge - 3 Citations

Scopus - 5 Citations

Other information

Authenticus ID: P-000-DXV

Abstract (EN): This paper reports the building of a system for predicting load curves at Low Voltage Substations supplying a set of consumers of different types (residential, industrial, etc.). The system is built by the aggregation of individual Fuzzy Inference Systems of the Takagi-Sugeno type. The paper describes how actual measurements formed a base of raw data and how test and training sets could be 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