11 citations · 25 across the 10 of their papers we have counts for
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cs.LG2021
State and Topology Estimation for Unobservable Distribution Systems using Deep Neural Networks
Behrouz Azimian, Reetam Sen Biswas, Shiva Moshtagh +3
Time-synchronized state estimation for reconfigurable distribution networks is challenging because of limited real-time observability. This paper addresses this challenge by formul…
eess.SY2021★ 1 cited
Stochastic AC Network-constrained Scheduling of CAES and Wind Power Generation in Joint Energy and reserve market: Toward More Realistic Results
Mohammad Ghaljehei, Mahrad Rahimi, Zahra Soltani +3
In this paper, a two-stage stochastic day-ahead (DA) scheduling model is proposed incorporating wind power units and compressed air energy storage (CAES) to clear a co-optimized en…