15 citations · 23 across the 12 of their papers we have counts for
12 papers
Finite-Sample Probabilistic Safety Certification for AI-Based Grid-Edge Coordination
Yihong Zhou, Hanbin Yang, Thomas Morstyn
Coordinating large population of flexible grid-edge devices can alleviate the need for time-consuming and capital-intensive network upgrades, and AI-based control methods such as m…
Decision-Focused Scenario Generation and Selection for Efficient and Robust Grid Dispatch
Yangze Zhou, Yihong Zhou, Thomas Morstyn +1
The increasing uncertainty from flexible demand and renewable generation has made distributionally robust optimization (DRO) an important tool for robust power system dispatch. DRO…
Supervised Reinforcement Learning for the Coordination of Distributed Energy Resources
Haoyuan Deng, Yihong Zhou, Thomas Morstyn +1
The increasing integration of distributed energy resources (DERs) is crucial for power system decarbonization, yet unlocking DERs' flexibility is challenged by their inherent uncer…
JAX-Based Batched AC Power Flow for GPU Acceleration and AI Ecosystem Integration
Yihong Zhou, Dylan Cope, Jakob Foerster +1
Coordinating growing grid flexibility under uncertainty is becoming increasingly important for efficient and reliable power-system operation. A core computational requirement is th…
GradMAP: Gradient-Based Multi-Agent Proximal Learning for Grid-Edge Flexibility
Yihong Zhou, Hongtai Zeng, Thomas Morstyn
Coordinating large populations of grid-edge devices requires learning methods that remain fully decentralised in deployment while still respecting three-phase AC distribution-netwo…
FICA: Faster Inner Convex Approximation of Chance Constrained Grid Dispatch with Decision-Coupled Uncertainty
Yihong Zhou, Hanbin Yang, Thomas Morstyn
This paper proposes a Faster Inner Convex Approximation (FICA) method for solving power system dispatch problems with Wasserstein distributionally robust joint chance constraints (…
Bilevel Transmission Expansion Planning with Joint Chance-Constrained Dispatch
Yuxin Xia, Yihong Zhou, Iacopo Savelli +1
In transmission expansion planning (TEP), network planners make long-term investment decisions while anticipating market clearing outcomes that are increasingly affected by renewab…
Large Language Model Interface for Home Energy Management Systems
François Michelon, Yihong Zhou, Thomas Morstyn
Home Energy Management Systems (HEMSs) help households tailor their electricity usage based on power system signals such as energy prices. This technology helps to reduce energy bi…
Strengthened and Faster Linear Approximation to Joint Chance Constraints with Wasserstein Ambiguity
Yihong Zhou, Yuxin Xia, Hanbin Yang +1
Many real-world decision-making problems have uncertain parameters in constraints. Wasserstein distributionally robust joint chance constraints (WDRJCC) offer a promising solution…
Exploiting Data Centres and Local Energy Communities Synergies for Market Participation
Ángel Paredes, Yihong Zhou, Chaimaa Essayeh +2
The evolving energy landscape has propelled energy communities to the forefront of modern energy management. However, existing research has yet to explore the potential synergies b…
AI-focused HPC Data Centers Can Provide More Power Grid Flexibility and at Lower Cost
Yihong Zhou, Angel Paredes, Chaimaa Essayeh +1
The recent growth of Artificial Intelligence (AI), particularly large language models, requires energy-demanding high-performance computing (HPC) data centers, which poses a signif…
Datasets of Great Britain Primary Substations Integrated with Household Heating Information
Yihong Zhou, Chaimaa Essayeh, Thomas Morstyn
The growing demand for electrified heating, electrified transportation, and power-intensive data centres challenge distribution networks. If electrification projects are carried ou…