DocumentCode
555002
Title
Forecasting the next day load profile using load profiling information and meteorological variables
Author
Sousa, J.C. ; Jorge, Humberto M. ; Neves, Lucio P.
Author_Institution
Dept. of Electr. Eng., Polytech. Inst. of Leiria, Leiria, Portugal
fYear
2011
fDate
7-9 July 2011
Firstpage
1
Lastpage
6
Abstract
The article proposes a new approach to support the process of forecasting the hourly electric load values for the following day. The adopted methodology based on neural networks is only supported by detailed information related with consumers´ typical behavior and climatic information. The case study was tested in two real distribution substation outputs, demonstrating its effectiveness and practical applicability.
Keywords
load forecasting; neural nets; power distribution; power engineering computing; substations; climatic information; consumer behavior; distribution substation outputs; hourly-electric load value forecasting; load profiling information; meteorological variables; neural networks; next-day load profile forecasting; Forecasting; Load forecasting; Load modeling; Low voltage; Neurons; Predictive models; Training; Load Forecasting; Load Profiling and Neural Networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Energetics (IYCE), Proceedings of the 2011 3rd International Youth Conference on
Conference_Location
Leiria
Print_ISBN
978-1-4577-1494-8
Type
conf
Filename
6028118
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