Short-term household load forecasting based on Long- and Short-term Time-series network
Focusing on the issue of significant randomness and low latitude of short-term household electrical load data, this paper proposes a novel short-term load multi-step forecasting method based on long-and short-term time series network (LSTNet). Firstly, the time sliding window method is used to sampl...
Main Authors: | Xifeng Guo, Ye Gao, Yupeng Li, Di Zheng, Dan Shan |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2021-04-01
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Series: | Energy Reports |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2352484721001219 |
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