Research On The Coal Enterprise’s Energy Conservation Based On The SVM

For a long time, people have been in a conflict between rapid economicdevelopment and high energy consumption, high emission of pollutants. As a newmodel of development, energy conservation and emission reduction, is the importantway to solve China’s energy and environmental problems. In China’s energy productionand consumption, coal dominates and coal was our basic energy and industrial rawmaterials, Proven in energy reserves, coal is occupied94%, oil is occupied5.4%,natural gas accounted for0.6%, this pattern of “rich coal oil poor little gas” energystructure features determined that It is difficult to change that production andconsumption is dominated by coal in the long term. At present, China’s greenhouse gasemissions have exceeded the United States, ranking the first in the world. Therefore, therequirements of international emissions voice gets higher and higher. Facing with thedomestic energy shortages, environmental destruction and the dual pressures ofinternational emission reduction requires us to strengthen energy conservation work.On the basis of the current situation and details of coal enterprises energyconservation theory, this article analyzes the current situation of coal enterprises energysaving and problems, establishes the evaluation index system of coal enterprises energysaving. Then, the article introduces of gray relational analysis with reduction targets andusing genetic algorithms to optimize the SVM model algorithm steps. Finally, selectingfrom the “China Coal Industry Association released the2012-2013coal industryadvanced enterprises in energy conservation” energy saving data in the18companies,using the gray relational reduction of indicators and genetic algorithm-support vectormachine hybrid algorithm for corporate conduct energy conservation, the evaluationresults and the actual match. On this basis the article proposes coal enterprises how toimprove energy conservation measures and recommendations.