利用智能电表数据分析和预测用电量

A. Sauhats, R. Varfolomejeva, Olegs Lmkevics, Romans Petrecenko, M. Kuņickis, Mans Balodis
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引用次数: 18

摘要

本文考虑应用智能电表数据来预测家庭用户的用电量。数据的可用性和数量适合于对电力消费概况的深入统计分析和消费者行为的研究。电力消费预测对于电力交易商平衡其购电和售电组合,以及为客户准备最优价格产品(报价)非常重要。对500名消费者的用电数据进行了分析,这些消费者被分为6个消费群体。消费数据来自智能电表。下一步,将应用现代电力消费预测方法来预测家庭用电量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analysis and prediction of electricity consumption using smart meter data
This paper is considering application of smart meter data to predict electricity consumption of household consumers. The availability and amount of data is suitable for in-depth statistical analysis of electricity consumption profiles and the study of consumer's behavior. Prediction of electricity consumption is very important for electricity traders to balance their electricity purchase and sales portfolio, as well as to prepare optimal price products (offers) for their clients. Electricity consumption data of 500 consumers divided into 6 consumers groups was analyzed. The consumption data was derived from smart meters. As the next step, modern methods of electricity consumption forecasts would be applied to predict household electricity consumption.
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