Reliable and effective medium- and long-term load forecasting is an important basis for power generation and transportation. To achieve this goal, an exponential decomposition analysis based load forecasting method is proposed in this paper, identifying and sorting the key effect factors. Combining the variation trends of the identified key effect factors as well as the social economy, multiple simulation scenarios can be generated for medium- and long-term load forecasting. The historical load and socio-economic data of Beijing city from 1985 to 2014 are selected as the input, and the key effect factors for the load growth are demonstrated. Finally, this paper ends with the load forecasting of Beijing city for the 13th Five-Year Period.%可靠有效的中长期电力需求预测是电力生产输送的重要依据.提出基于指数分解分析的电力需求预测方法,该方法可以深入挖掘电力需求变化的关键因素及其贡献程度,并且结合社会经济发展和相关政策,通过对关键因素未来变化趋势的多情景设置,开展中长期电力需求预测.以北京市为例,对1985—2014年北京市电力需求增长的主要因素及其贡献水平进行分解分析.结合北京市社会经济发展定位和应对气候变化的环境政策,对"十三五"期间北京市电力需求进行预测.
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