Daily Peak Load Forecasting by Structured Representation on Genetic Algorithms for Function Fitting

Abstract

This paper presents a new method of a daily peak load forecasting by structured representation on genetic algorithm for function fitting (STROGANOFF). The STROGANOFF is a hierarchical technique of multiple regression analysis method and a GA-based search strategy. Then, we use the fitness of MDL-based for the STROGANOFF. The proposed method is demonstrated by using the data of Chubu district in Japan.