Demand Forecasting in Power Distribution Systems using an Hybrid Method of Case Based Reasoning and Expert Systems
نویسندگان
چکیده
A novel approach to electric load forecasting using an hybrid method of artificial intelligence is presented. This paper proposes a combining of a numeric extrapolation of data with the methodology of case-based reasoning and expert system. The retrieve of previous cases adapted by an expert system has been overlapped to the load forecasting given by the numeric techniques, presently accepted for this purpose, obtaining a considerable improvement in the forecast. FUTURA software has been developed as a result of this work. It incorporates the different proposed techniques in a modular way while it provides a graphic user interface and the access capabilities to existing data bases.
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