FUTURA: Hybrid System for Electric Load Forecasting by Using Case-Based Reasoning and Expert System

Authors:
Raúl Vilcahuamán;Joaquim Meléndez;Josep Lluis de la Rosa
Affiliations:
-;-;-
Venue:
CCIA '02 Proceedings of the 5th Catalonian Conference on AI: Topics in Artificial Intelligence
Year:
2002

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Abstract

The results of combining a numeric extrapolation of data with the methodology of case-based reasoning and expert systems in order to improve the electric load forecasting are presented in this contribution. Registers of power consumption are stored as cases that are retrieved and adapted by an expert system to improve a numeric forecasting given by numeric algorithms. FUTURA software has been developed as a result of this work. It combines the proposed techniques in a modular way while it provides a graphic user interface and access capabilities to existing data bases.