Xuan Truong Nghiem

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Related publications (5)

Physics-Informed Machine Learning for Modeling and Control of Dynamical Systems

Colin Neil Jones, Melanie Nicole Zeilinger, Xuan Truong Nghiem, Roland Schwan

Physics-informed machine learning (PIML) is a set of methods and tools that systematically integrate machine learning (ML) algorithms with physical constraints and abstract mathematical models developed in scientific and engineering domains. As opposed to ...

IEEE2023

Learning Proximal Operators with Gaussian Processes

Georgios Stathopoulos, Colin Neil Jones, Xuan Truong Nghiem

Several distributed-optimization setups involve a group of agents coordinated by a central entity (coordinator), altogether operating in a collaborative framework. In such environments, it is often common that the agents solve proximal minimization problem ...

IEEE2018

Data-driven Demand Response Modeling and Control of Buildings with Gaussian Processes

Colin Neil Jones, Xuan Truong Nghiem

This paper presents an approach to provide demand response services with buildings. Each building receives a normalized signal that tells it to increase or decrease its power demand, and the building is free to implement any suitable strategy to follow the ...

2017

OpenBuildNet Framework for Distributed Co-Simulation of Smart Energy Systems

Colin Neil Jones, Tomasz Tadeusz Gorecki, Faran Ahmed Qureshi, Altug Bitlislioglu, Xuan Truong Nghiem

The complexity and diversity of future energy systems will require co-simulation solutions that enable the integration of tools from multiple domains for research and development. We introduce an open-source framework, OpenBuildNet, for distributed co-simu ...

2016

Providing ancillary service with commercial buildings: the Swiss perspective

Ali Ahmadi Khatir, Colin Neil Jones, Faran Ahmed Qureshi, Ioannis Lymperopoulos, Xuan Truong Nghiem

Ancillary services constitute the cornerstone of the power grid. They allow for an efficient system operation, provide resilience to uncertainties and establish safeguards against unprecedented events. Their importance is growing due to the rise of grid de ...

2015

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