Title :
An application of the fuzzy regression analysis to the electrical load estimation
Author :
Nazarko, J. ; Zalewski, W.
Author_Institution :
Div. of Inf., Bialystok Tech. Univ., Poland
Abstract :
The efficient use of available data is the greatest difficulty in the modelling of operation states of electrical power distribution systems. If the analysis of the operation state is performed on the basis of out-of-date or incorrect information, subsequent decisions may significantly differ from the optimum decisions. Theory enabling description of unreliable and inaccurate data, and the relationships between them, is fuzzy set theory. The paper presents the possibility of application of fuzzy regression analysis to the load estimation in power distribution systems. Theoretical analysis is illustrated by a numerical example
Keywords :
distribution networks; fuzzy set theory; load (electric); parameter estimation; statistical analysis; electrical load estimation; electrical power distribution systems; fuzzy regression analysis; fuzzy set theory; inaccurate data; operation state analysis; operation states modelling; unreliable data; Electric variables measurement; Energy measurement; Fuzzy set theory; Load modeling; Particle measurements; Power distribution; Regression analysis; Shape measurement; Size measurement; Voltage;
Conference_Titel :
Electrotechnical Conference, 1996. MELECON '96., 8th Mediterranean
Conference_Location :
Bari
Print_ISBN :
0-7803-3109-5
DOI :
10.1109/MELCON.1996.551250
