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DOI: https://doi.org/10.4491/eer.2018.344
Comprehensive evaluation of cleaner production in thermal power plants based on an improved least squares support vector machine model
Minquan Ye1, Jingyi Sun2, and Shenhai Huang3
1State Grid Fujian Economic Research Institute, Fuzhou 350000, China
2Beijing Electric Power Engineering Company Limited, Beijing 100071, China
3State Grid Jiaxing Economic Technology Research Institute, Jiaxing 314000, China
Corresponding Author: Minquan Ye ,Tel: +86-152-3027-9980, Email: hdymq2014@163.com
Received: September 28, 2018;  Accepted: November 17, 2018.
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In order to alleviate the environmental pressure caused by production process of thermal power plants, the application of cleaner production is imperative. To estimate the implementation effects of cleaner production in thermal plants and optimize the strategy duly, it is of great significance to take a comprehensive evaluation for sustainable development. In this paper, a hybrid model that integrated the analytic hierarchy process (AHP) with least squares support vector machine (LSSVM) algorithm optimized by grid search (GS) algorithm is proposed. Based on the establishment of the evaluation index system, AHP is employed to pre-process the data and GS is introduced to optimize the parameters in LSSVM, which can avoid the randomness and inaccuracy of parameters’ setting. The results demonstrate that the combined model is able to be employed in the comprehensive evaluation of the cleaner production in the thermal power plants.
Keywords: AHP | Comprehensive evaluation | GS | LSSVM | Thermal power plants cleaner production
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