DocumentCode :
3372799
Title :
Medium-term load forecasting with artificial neural network models
Author :
Gavrilas, M. ; Ciutea, I. ; Tanasa, C.
Author_Institution :
Tech. Univ. of Iasi, Romania
Volume :
6
fYear :
2001
fDate :
2001
Abstract :
The latest research and results published in the literature show that the interest in load forecasts has moved from traditional techniques to models that use neural networks and fuzzy systems. This paper describes a new approach to the medium-term load forecasting which uses artificial neural networks and fuzzy techniques. The medium-term load forecast must be understood as the assessment of the power consumption as load profiles with hourly values for 48 characteristic days within a year
Keywords :
fuzzy set theory; load forecasting; neural nets; power system analysis computing; artificial neural network models; artificial neural networks; fuzzy systems; hourly load profiles; medium-term load forecasting; power consumption assessment;
fLanguage :
English
Publisher :
iet
Conference_Titel :
Electricity Distribution, 2001. Part 1: Contributions. CIRED. 16th International Conference and Exhibition on (IEE Conf. Publ No. 482)
Conference_Location :
Amsterdam
ISSN :
0537-9989
Print_ISBN :
0-85296-735-7
Type :
conf
DOI :
10.1049/cp:20010930
Filename :
943101
Link To Document :
بازگشت