Archie Chapman

Dr. Archie C. Chapman is a researcher and academic in the field of energy systems, with a focus on renewable energy integration, smart grid technologies, and energy management systems. He is currently affiliated with the University of Queensland, where he contributes to research and teaching in energy systems and sustainability. His work often involves the application of advanced computational methods, including machine learning, optimization, and game theory, to address challenges in modern power systems. Dr. Chapman has published extensively in top-tier journals and conferences, and his research has been recognized for its contributions to the understanding and implementation of sustainable energy solutions.

Archie Chapman is an Associate Professor in Electrical Engineering and Computer Science at the University of Queensland, specializing in Artificial Intelligence, Optimization, Power Systems, Game Theory, and Machine Learning. His research focuses on decentralized energy trading, peer-to-peer energy systems, and the integration of distributed energy resources within low-voltage networks. He explores advanced optimization techniques, such as ADMM and multi-armed bandits, for energy management and demand response. His work addresses challenges in transactive energy systems, smart home management, and the coordination of distributed energy resources with Volt-Var control and PV curtailment. Chapman's research bridges theoretical frameworks with practical applications in sustainable energy systems.