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
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