摘要
基于产业结构调整宏观环境,构建了区域用电量预测模型初选库,其主要包括基于时间序列的区域用电量预测模型和基于影响因素的区域用电量预测模型。并基于预测效果反馈,建立预测效果评级指标体系,构建预测效果评价模型。在评价结果的基础上,筛选出最优模型作为区域用电量预测模型终选库,以便正确预估地区电网发展趋势,提高企业竞争力。
Based on the macro environment of industrial structure adjustment,the primary selection Library of regional electricity consumption forecasting model is constructed,which mainly includes the prediction model of regional electricity consumption based on time series and the prediction model of regional electricity consumption based on the influence factors.And then,based on prediction effect feedback,set up prediction effect rating index system and build prediction effect evaluation model.Finally,on the basis of the evaluation results,the optimal model is selected as the final selection of the regional electricity consumption forecasting model in order to correctly estimate the development trend of the regional power grid and improve the competitiveness of the enterprises.
作者
康辉
牛东晓
KANG Hui;NIU Dong xiao(School of Economics and Management;Beijing Key Laboratory of New Energy and Development,North China Electric Power University,Beijing 102206,China)
出处
《科技和产业》
2018年第6期16-19,共4页
Science Technology and Industry
基金
国家自然科学基金项目(71471059)
高等学校学科创新引智计划资助项目(B18021)
关键词
电量预测
时间序列预测
多因素预测
预测效果评价
electricity consumption forecast
prediction of time series
prediction of multi factor
prediction effect evaluation