Cost-Effective Peak Shaving Strategy Based on Clustering and XGBoost Algorithm
Author:
Affiliation:
1. Chonnam National University,Department of Electrical Engineering,Gwangju,South Korea,61186
Funder
IITP
National Research Foundation of Korea(NRF)
Ministry of Education
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10066849/10066958/10067091.pdf?arnumber=10067091
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5. A multi-step time-series clustering-based seq2seq LSTM learning for a single household electricity load forecasting;masood;Energies,2022
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