Smart meter based short-term load forecasting for residential customers
Author:
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx5/6016186/6024838/06025124.pdf?arnumber=6025124
Cited by 45 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Analysis of the Local Daily Maximum Load of Apartment Using Probabilistic and Statistical Methods;2024 6th International Youth Conference on Radio Electronics, Electrical and Power Engineering (REEPE);2024-02-29
2. STGNet: Short‐term residential load forecasting with spatial–temporal gated fusion network;Energy Science & Engineering;2023-12-06
3. Prediction and Electricity Forecasting on the Individual Household Level based on PSO-LSSVM Approach;2023 7th International Conference on Electronics, Communication and Aerospace Technology (ICECA);2023-11-22
4. Investigating whether the inclusion of humid heat metrics improves estimates of AC penetration rates: a case study of Southern California;Environmental Research Letters;2023-10-01
5. Day-ahead aggregated load forecasting based on household smart meter data;Energy Reports;2023-09
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