Junhua Zhao

TL;DR: In this paper , a generalized data recovery model is proposed to recover the compromised data after encountering a cyber-attack in the smart grid, which can be promptly activated to recover pre-attack data after receiving the attack detection signal without making other assumptions.

TL;DR: In this paper , a vulnerability assessment strategy is formulated for coupled transportation and multi-energy networks, where a critical asset identification tool is applied to find the vulnerability point of the coupled networks, and the transfer margin ratio (TMR) is put forward to assess the dynamic vulnerability level under cascading contingencies.

TL;DR: Wang et al. as discussed by the authors proposed a data-driven nonintrusive load monitoring (NILM) approach to study the customers' power consumption behaviors and usage characteristics, which can help the retailer earn more benefits and help the grids better realize DR requirements.

TL;DR: In this article , a spatiotemporally coordinated cyber-attack strategy is proposed by considering attackable geo-distributed renewable energy resources (RESs) and periods, which is fulfilled by compromising meteorological data transmitted from external online weather forecast interfaces which are required for renewable energy forecasting but also exposed to potential adversaries.

TL;DR: In this paper , the authors present a survey of the latest advancements in DL technology and their relevance to smart grid cybersecurity, and a thorough review of the application of DL techniques in addressing each cyberthreat along with recommendations and a generalised framework for enhancing cyberattack detection using DL is offered.