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Short-term forecasting of Algerian load using fuzzy logic and expert system

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4 Author(s)
Farah, N. ; Electron. Lab. of Documents Manage. (Labged), Univ. Badji Mokhtar, Annaba, Algeria ; Khadir, M.T. ; Bouaziz, I. ; Kennouche, H.

The industry of electrical energy in the majority of the developing countries is changing from an operational approach centralized towards a competing approach. The notion of forecasting of electrical energy by only one public services, is replaced by the concept that a competitive market is a mechanism more appropriate to ensure energy the consumers with a high reliability at less cost. Algeria counts among these countries. Under such competition conditions, forecasting becomes a powerful tool in the search for higher outputs. Indeed, because electrical energy cannot be stored, the single physical condition which would ensure an optimal output, is a production equal to consumption. A valid model (or forecast tool) for the forecasts of load and/or electricity consumption, will help to reach this condition. This work presents the results obtained by a prediction model based on fuzzy logic and expert system and developed with C# which will facilitate the deployment on a server to be accessed from the Web.

Published in:

Multimedia Computing and Systems, 2009. ICMCS '09. International Conference on

Date of Conference:

2-4 April 2009