基于灰色关联分析的电力行业节电潜力预测  

Electricity Saving Potential Prediction of Electric Power Industry Based on Grey Correlation Analysis

作　　者：张哲任 石清 ZHANG Zheren1, SHI Qing2(1. State Grid Zhejiang Economic Technology Research Institute, Hangzhou 310008, Zhejiang, China; 2. Beijing JingshiWanfang Information Technology Co., Ltd., Beijing 100022, Chin)

机构地区：[1]国网浙江省经济技术研究院,浙江杭州310008 [2]北京经世万方信息技术有限公司,北京100022

出　　处：《能源与节能》2018年第5期70-72,79,共4页Energy and Energy Conservation

摘　　要：基于需求函数理论提出电力行业耗电量受劳动力、资本、技术、结构、价格等五方面因素的影响,采用灰色关联分析筛选出主要影响因子,建立电力行业电力需求模型,在此基础上测算了在电源结构目标约束及其他因子发展趋势变化等条件下中国电力行业节电潜力。This paper proposed that power consumption was affected by labor, capital, technology, structure and price in the power industry based on the theory of demand function. By adopting grey correlation analysis, the main influencing factors were selected, and the power demand model of the power industry was established. On this basis, the potential of power saving in the power industry was calculated under the condition of the restriction on power structure and the trend of other factors.

关 键 词：电力行业 节电潜力 灰色关联分析 回归分析 

分 类 号：TK018[动力工程及工程热物理]