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In this paper, an Improved Ant Colony Clustering (IACC) based on Ant Colony Algorithm is presented. In IACC, each load data was represented by an ant, and the merits of IACC were parallel search optimum and the dynamic method to adjust the evaporation coefficient, which can raise the forecast accuracy. IACC used the weighted Euclidean distance, and the residual pheromone quantity was calculated by...
Ant colony algorithms have been recently suggested for short-term electric load forecasting by a large number of researchers. As we know that the forecasting accuracy is influenced by the distributed feature of load sample space, and the complex nonlinear relation, which is formed by the sensibility of external weather factors to power load, will also reduce the accuracy of forecasting. In this paper,...
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