Robust Deep Gaussian Process-Based Probabilistic Electrical Load Forecasting Against Anomalous Events

The abnormal events, such as the unprecedented COVID-19 pandemic, can significantly change the load behaviors, leading to huge challenges for traditional short-term forecasting methods. This article proposes a robust deep Gaussian processes (DGP)-based probabilistic load forecasting method using a l...

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Veröffentlicht in:IEEE transactions on industrial informatics 2022-02, Vol.18 (2), p.1142-1153
Hauptverfasser: Cao, Di, Zhao, Junbo, Hu, Weihao, Zhang, Yingchen, Liao, Qishu, Chen, Zhe, Blaabjerg, Frede
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Sprache:eng
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