17 citations · 20 across the 6 of their papers we have counts for
6 papers
Learning Defensive Policies against Diverse Inference Attacks for Smart Meter Privacy
Ruichang Zhang, Mustafa A. Mustafa
Smart meter (SM) data provides fine-grained visibility into household energy consumption, but also exposes users to privacy risks. Inference attacks, known as non-intrusive load mo…
Convergence Analysis of Weighted-Median Opinion Dynamics with Prejudice
Ruichang Zhang, Zhixin Liu, Ge Chen +1
The Friedkin-Johnsen (FJ) model introduces prejudice into the opinion evolution and has been successfully validated in many practical scenarios; however, due to its weighted averag…
Proactive Load-Shaping Strategies with Privacy-Cost Trade-offs in Residential Households based on Deep Reinforcement Learning
Ruichang Zhang, Youcheng Sun, Mustafa A. Mustafa
Smart meters play a crucial role in enhancing energy management and efficiency, but they raise significant privacy concerns by potentially revealing detailed user behaviors through…
Deep Reinforcement Learning for Voltage Control and Renewable Accommodation Using Spatial-Temporal Graph Information
Jinhao Li, Ruichang Zhang, Hao Wang +3
Renewable energy resources (RERs) have been increasingly integrated into distribution networks (DNs) for decarbonization. However, the variable nature of RERs introduces uncertaint…
Controllability of networked multiagent systems based on linearized Turing's model
Tianhao Li, Ruichang Zhang, Zhixin Liu +2
Turing's model has been widely used to explain how simple, uniform structures can give rise to complex, patterned structures during the development of organisms. However, it is ver…
Deep Reinforcement Learning for Optimal Power Flow with Renewables Using Graph Information
Jinhao Li, Ruichang Zhang, Hao Wang +3
Renewable energy resources (RERs) have been increasingly integrated into large-scale distributed power systems. Considering uncertainties and voltage fluctuation issues introduced…