论文信息 - Short-term Feeder Load Forecasting: An Expert System Using Fuzzy Logic

Short-term Feeder Load Forecasting: An Expert System Using Fuzzy Logic

Abstract A short-term feeder load forecasting using an expert system approach is presented. This approach allows merging of traditional mathematical techniques and operator's experience. The rules of this expert system are calculated using historical data of the feeder and represented by fuzzy conditional statements. An exemple using real data coming from power systems is presented.

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