Short-Term Load Forecasting With Deep Residual Networks

We present in this paper a model for forecasting short-term electric load based on deep residual networks. The proposed model is able to integrate domain knowledge and researchers' understanding of the task by virtue of different neural network building blocks. Specifically, a modified deep res...

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Veröffentlicht in:	IEEE transactions on smart grid 2019-07, Vol.10 (4), p.3943-3952
Hauptverfasser:	Chen, Kunjin, Chen, Kunlong, Wang, Qin, He, Ziyu, Hu, Jun, He, Jinliang
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer simulation deep learning deep residual network Forecasting Load forecasting Load modeling Mathematical models Model testing Neural networks Predictive models probabilistic load forecasting Probabilistic logic Short-term load forecasting Task analysis
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