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发明公开
CN106355265A 一种基于业扩报装大数据和计量经济模型的用电量预测方法 无效 - 驳回

一种基于业扩报装大数据和计量经济模型的用电量预测方法
摘要：
本发明公开了一种基于业扩报装大数据和计量经济模型的用电量预测方法，通过对区域业扩报装大数据的分析，采用计量经济模型，分行业研究业扩报装情况、运行容量、负荷利用率、用电需求之间的关系，建立电力需求预测模型，首先，对业扩报装数据进行清洗，剔除非生产用电需要申请的业扩信息，然后，预测非业扩影响电量、全行业业扩影响电量、居民用电量等信息，并根据上述信息，实现对区域用电量进行预测；本发明可更好地把握区域电力需求走势、服务区域经济社会发展以及电网的安全平稳运行。
摘要（英）：

The invention discloses a method for predicting electricity consumption based on business expansion data and econometric model. Through analysis on regional business expansion data, by adopting econometric model, the relations among business expansion conditions,operation capacity, load utilization ratio and electricity demand is studied within industry classification to build electricity demand prediction model. First,cleaning business expansion data and eliminating information of non-production electricity demand application; then, predicting electricity consumed not in business expansion, electricity consumed in business expansion of all industries and residential electricity consumption, according to which, predicting regional electricity consumption. The invention can better grasp the trend of regional electricity demand and can serve to social development of regional economy as well as safe and stable operation of electricity network.

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