most citedEnabling Cyberattack-Resilient Load Forecasting through Adversarial Machine Learning

1 citations · 1 across the 1 of their papers we have counts for

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2 papers

eess.SY2020★ 1 cited

Enabling Cyberattack-Resilient Load Forecasting through Adversarial Machine Learning

Zefan Tang, Jieying Jiao, Peng Zhang +3

In the face of an increasingly broad cyberattack surface, cyberattack-resilient load forecasting for electric utilities is both more necessary and more challenging than ever. In th…

math.OC2019

Radiality Constraints for Resilient Reconfiguration of Distribution Systems: Formulation and Application to Microgrid Formation

Shunbo Lei, Chen Chen, Yue Song +1

Network reconfiguration is an effective strategy for different purposes of distribution systems (DSs), e.g., resilience enhancement. In particular, DS automation, distributed gener…