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eess.SP2020★ 30 cited
Using Mobility for Electrical Load Forecasting During the COVID-19 Pandemic
Yize Chen, Weiwei Yang, Baosen Zhang
The novel coronavirus (COVID-19) pandemic has posed unprecedented challenges for the utilities and grid operators around the world. In this work, we focus on the problem of load fo…
eess.SP2019★ 9 cited
Fast Calculation of Probabilistic Power Flow: A Model-based Deep Learning Approach
Yan Yang, Zhifang Yang, Juan Yu +1
Probabilistic power flow (PPF) plays a critical role in power system analysis. However, the high computational burden makes it challenging for the practical implementation of PPF.…