Field test experiences with neural network models for short term electrical load forecasting in West Switzerland

In this paper, the authors present successful field test experience in the use of neural networks for short-term electrical load forecasting. After reviewing the importance of load forecasting as a key planning tool for a modern energy management system (EMS), they outline the advantages of using neural networks, how they are implemented, the choice of explicative variables and the selection of appropriate models. In the field test, a fully automatic load forecasting service was implemented. Numerical results are presented showing the importance of forecasted temperatures for a good load forecast and a comparison of rural and urban regions in terms of accuracy


Published in:
Revue E, 112, 2-3, 38 - 41
Year:
1996
ISSN:
0770-0024
Keywords:
Note:
West Switzerland;short-term electrical load forecasting;field test experiences;neural network models;power systems;forecasted temperatures;rural regions;urban regions;forecast accuracy;
Laboratories:




 Record created 2007-04-04, last modified 2018-03-18


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