7 citations · 7 across the 13 of their papers we have counts for
16 papers
Topology-adaptive Estimation of Maximum Voltage Unbalance for Distribution Networks with Finite-sample Guarantee
Jinbao Wang, Jun Liu, Shiliang Zhang +2
High penetration of single-phase distributed power production and frequent topology changes can significantly increase voltage unbalance in distribution networks. Reliable probabil…
Urban Power Grid Topology and Hierarchy Identification from Open Data
Shiliang Zhang, Sabita Maharjan, Alexey Vinel +1
Understanding the complex topology and hierarchy of urban power grid is crucial for energy prognosis, power flow management, and system resilience analysis. However, detailed grid…
AI and Open-data Driven Scalable Solar Power Profiling
Shiliang Zhang, Sabita Maharjan, Damla Turgut
Solar photovoltaic (PV) deployment is expanding rapidly, yet detailed, up-to-date information on the spatial distribution and capacity of rooftop PV remains limited. This paper pre…
Cenergy3: An Open Software Package for City Energy 3D Modeling
Shiliang Zhang, Sabita Maharjan
The efficient management and planning of urban energy systems require integrated three-dimensional (3D) models that accurately represent both consumption nodes and distribution net…
Security, privacy, and agentic AI in a regulatory view: From definitions and distinctions to provisions and reflections
Shiliang Zhang, Sabita Maharjan
The rapid proliferation of artificial intelligence (AI) technologies has led to a dynamic regulatory landscape, where legislative frameworks strive to keep pace with technical adva…
Exploring the Interpretability of Forecasting Models for Energy Balancing Market
Oskar Våle, Shiliang Zhang, Sabita Maharjan +1
The balancing market in the energy sector plays a critical role in physically and financially balancing the supply and demand. Modeling dynamics in the balancing market can provide…
Adaptive Robust Control for Uncertain Systems with Ellipsoid-Set Learning
Xuehui Ma, Shiliang Zhang, Zhiyong Sun +2
Despite the celebrated success of stochastic control approaches for uncertain systems, such approaches are limited in the ability to handle non-Gaussian uncertainties. This work pr…
Linear quadratic control for discrete-time systems with stochastic and bounded noises
Xuehui Ma, Shiliang Zhang, Xiaohui Zhang +2
This paper focuses on the linear quadratic control (LQC) design of systems corrupted by both stochastic noise and bounded noise simultaneously. When only of these noises are consid…
Cenergy3: An API for City Energy 3D Modeling
Shiliang Zhang, Sabita Maharjan
The efficient management and planning of urban energy systems require integrated three-dimensional (3D) models that accurately represent both consumption nodes and distribution net…
Fault Tolerant Control of Mecanum Wheeled Mobile Robots
Xuehui Ma, Shiliang Zhang, Zhiyong Sun
Mecanum wheeled mobile robots (MWMRs) are highly susceptible to actuator faults that degrade performance and risk mission failure. Current fault tolerant control (FTC) schemes for…
Adaptive Lyapunov-constrained MPC for fault-tolerant AUV trajectory tracking
Haolin Liu, Shiliang Zhang, Xiaohui Zhang +6
Autonomous underwater vehicles (AUVs) are subject to various sources of faults during their missions, which challenges AUV control and operation in real environments. This paper ad…
Ultra-short-term solar power forecasting by deep learning and data reconstruction
Jinbao Wang, Jun Liu, Shiliang Zhang +1
The integration of solar power has been increasing as the green energy transition rolls out. The penetration of solar power challenges the grid stability and energy scheduling, due…
Fine-tuning for Data-enabled Predictive Control of Noisy Systems by Reinforcement Learning
Jinbao Wang, Shiliang Zhang, Jun Liu +2
Data-enabled predictive control (DeePC) leverages system measurements in characterizing system dynamics for optimal control. The performance of DeePC relies on optimizing its hyper…
Adaptive Fault-tolerant Control of Underwater Vehicles with Thruster Failures
Haolin Liu, Shiliang Zhang, Shangbin Jiao +5
This paper presents a fault-tolerant control for the trajectory tracking of autonomous underwater vehicles (AUVs) against thruster failures. We formulate faults in AUV thrusters as…
Data Sharing, Privacy and Security Considerations in the Energy Sector: A Review from Technical Landscape to Regulatory Specifications
Shiliang Zhang, Sabita Maharjan, Lee Andrew Bygrave +1
Decarbonization, decentralization and digitalization are the three key elements driving the twin energy transition. The energy system is evolving to a more data driven ecosystem, l…
Active learning for anti-disturbance dual control of unknown nonlinear systems
Xuehui Ma, Shiliang Zhang, Fucai Qian +2
This work concerns the control of unknown nonlinear systems corrupted by disturbances. For such systems, we propose an anti-disturbance dual control approach with active learning o…