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

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.