A computational tool to support spatial electric load forecasting

Author

Blagajac, Snjezana ; Krajcar, Slavko ; Skrlec, Davor

Author_Institution

Dept. of Power Syst., Zagreb Univ., Croatia

Volume

3

fYear

2000

fDate

29-31 May 2000

Firstpage

1116

Abstract

This paper presents the computational tool which has been developed to support decision-making process regarding load forecasting in the context of the electric distribution networks´ planning. The tool comprises trending methods as well as a method based on clustering algorithms, in conjunction with a geographic information system (GIS). The paper also presents development progress of the methodology that uses fuzzy reasoning to produce spatial load forecasts. Fuzzy clustering algorithms have been used to identify and obtain a fuzzy model from a structure contained in data.

Keywords

decision support systems; fuzzy set theory; geographic information systems; inference mechanisms; load forecasting; power distribution planning; power system analysis computing; clustering algorithms; computational tool; decision-making process support; electric distribution network planning; fuzzy model; fuzzy reasoning; geographic information system; spatial electric load forecasting; trending methods; Clustering algorithms; Computer networks; Decision making; Distributed computing; Economic forecasting; Geographic Information Systems; IEEE members; Load forecasting; Power system analysis computing; Power system planning;

fLanguage

English

Publisher

ieee

Conference_Titel

Electrotechnical Conference, 2000. MELECON 2000. 10th Mediterranean

Print_ISBN

0-7803-6290-X

Type

conf

DOI

10.1109/MELCON.2000.879730

Filename

879730