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Short-term load forecasting with distributed long short-term memory
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Dong, Yi, Chen, Yang, Zhao, Xingyu and Huang, Xiaowei (2023) Short-term load forecasting with distributed long short-term memory. In: 2023 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT), Washington, DC, USA, 16-19 Jan 2023. Published in: 2023 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT) pp. 1-5. doi:10.1109/ISGT51731.2023.10066368 ISSN 2472-8152.
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Official URL: http://dx.doi.org/10.1109/ISGT51731.2023.10066368
Abstract
With the employment of smart meters, massive data on consumer behaviour can be collected by retailers. From the collected data, the retailers may obtain the house-hold profile information and implement demand response. While retailers prefer to acquire a model as accurate as possible among different customers, there are two major challenges. First, different retailers in the retail market do not share their consumer's electricity consumption data as these data are regarded as their assets, which has led to the problem of data island. Second, the electricity load data are highly heterogeneous since different retailers may serve various consumers. To this end, a fully distributed short-term load forecasting framework based on a consensus algorithm and Long Short-Term Memory (LSTM) is proposed, which may protect the customer's privacy and satisfy the accurate load forecasting requirement. Specifically, a fully distributed learning framework is exploited for distributed training, and a consensus technique is applied to meet confidential privacy. Case studies show that the proposed method has comparable performance with centralised methods regarding the accuracy, but the proposed method shows advantages in training speed and data privacy.
Item Type: | Conference Item (Paper) | ||||||
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Divisions: | Faculty of Science, Engineering and Medicine > Engineering > WMG (Formerly the Warwick Manufacturing Group) | ||||||
Journal or Publication Title: | 2023 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT) | ||||||
Publisher: | IEEE | ||||||
ISSN: | 2472-8152 | ||||||
Book Title: | 2023 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT) | ||||||
Official Date: | 22 March 2023 | ||||||
Dates: |
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Page Range: | pp. 1-5 | ||||||
DOI: | 10.1109/ISGT51731.2023.10066368 | ||||||
Status: | Peer Reviewed | ||||||
Publication Status: | Published | ||||||
Access rights to Published version: | Restricted or Subscription Access | ||||||
Conference Paper Type: | Paper | ||||||
Title of Event: | 2023 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT) | ||||||
Type of Event: | Conference | ||||||
Location of Event: | Washington, DC, USA | ||||||
Date(s) of Event: | 16-19 Jan 2023 | ||||||
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