Comprehensive Evaluation of Cleaner Production in Thermal Power Plants Using Particle Swarm Optimization Based Least Squares Support Vector Machines

Abstract

Thermal power plant cleaner production means to consistently apply the overall prevention environmental strategy to electricity production process, which will play a significant role in enhancing the competitiveness of the thermal power plants and achieving sustainable development. On the basis of investigation and analysis of domestic and foreign research profile on cleaner production, according to the characteristics of the thermal power plants cleaner production we construct power plants clean production evaluation index system. In this paper, we put forward the least squares support vector machine algorithm with particle swarm optimization algorithm to determine the optimal parameter combination to achieve the comprehensive evaluation models of cleaner production. Through the comprehensive evaluation of five power plants cleaner production and its comparison with the traditional method of least squares support vector machine, we found that the average relative error is less than 0.285%, which verified the validity and effect of this model when evaluating cleaner production.