Method of Electric Energy Alternative Potential Analysis Based on Particle Swarm Optimization Support Vector Machine

" Electric energy alternative " strategy promotes electric energy consumption instead of scattered coal and oil burning in energy end-use link to ultimately achieve fundamental change of energy development. In order to provide theoretical guidance for power supply, power grid and capacity planning, an analysis method of potential of China's electric energy alternative based on support vector machine and particle swarm optimization algorithm is proposed. Main factors affecting process of electric energy alternative are defined based on multi dimension data, fitted with cumulative electric energy alternative using support vector machine method. Parameter selection of support vector machine is optimized with particle swarm method, and effective prediction of cumulative electric energy alternative is realized. Simulation results show that this method can significantly improve prediction accuracy, having guiding significance for supporting potential analysis of electric energy alternative.