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
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;
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
DOI :
10.1109/ANN.1993.264332
