DocumentCode
3509550
Title
Load curve shaping using neural networks
Author
Park, D. ; Mohammed, O. ; Azeem, A. ; Merchant, R. ; Dinh, T. ; Tong, C. ; Farah, J. ; Drake, C.
Author_Institution
Dept. of Electr. & Comput. Eng., Florida Int. Univ., Miami, FL, USA
fYear
1993
fDate
1993
Firstpage
290
Lastpage
295
Abstract
The authors describe how an artificial neural network can be utilized for improving the shape of an electrical power load forecast. It is shown that the application of this method to make the shape of the forecast load curve conform to the shape of the typical seasonal load curve results in improvement in the overall accuracy of the electrical power load forecast.
Keywords
load forecasting; neural nets; power engineering computing; power systems; accuracy; application; artificial neural network; load curve; load forecasting; power engineering computing; power systems; Art; Artificial neural networks; Casting; Information filtering; Information filters; Load forecasting; Neural networks; Shape; Solids; Weather forecasting;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks to Power Systems, 1993. ANNPS '93., Proceedings of the Second International Forum on Applications of
Conference_Location
Yokohama, Japan
Print_ISBN
0-7803-1217-1
Type
conf
DOI
10.1109/ANN.1993.264332
Filename
264332
Link To Document