从智能表计数据预测 domestic 用电消费时的缺失数据填补
计算机与社会
2024-12-06 v1 人工智能
摘要
本研究使用住宅用电智能表计数据估算全年电费。我们 developed a method for back-filling data smart meter for up to six missing months for users who have less than one year of smart meter data, ensuring reliable estimates of annual consumption. We identify five distinct electricity consumption user profiles for homes based on day, night, and peak usage patterns, highlighting the economic advantages of Time-of-Use (ToU) tariffs over fixed tariffs for most users, especially those with higher nighttime consumption. Ultimately, the results of this study empowers consumers to manage their energy use effectively and to make informed choices regarding electricity tariff plans.
关键词
引用
@article{arxiv.2412.03574,
title = {Back-filling Missing Data When Predicting Domestic Electricity Consumption From Smart Meter Data},
author = {Xianjuan Chen and Shuxiang Cai and Alan F. Smeaton},
journal= {arXiv preprint arXiv:2412.03574},
year = {2024}
}
备注
10 pages, 7 figures, 4 tables