Climate and Energy Informatics Lab
Our Research Lab
The Climate and Energy Informatics Lab at the University of Birmingham, based in the Department of Electronic, Electrical and Systems Engineering, focuses on advancing research in energy systems and their integration with cutting-edge technologies. Our work spans a wide range of topics, including smart grids, energy market dynamics, low-voltage (LV) distribution networks, and the application of artificial intelligence (AI) in energy systems. By combining expertise in engineering, data science, and energy informatics, our lab aims to tackle pressing challenges in sustainable energy development, improve system resilience, and support the transition toward low-carbon and efficient energy solutions.
The Team
Our team have 5 PhD students and 1 visiting Research Associate
Lab Director
Dr Weiqi Hua is an Assistant Professor in Energy Systems at the University of Birmingham since 2023. His research interests include: i) multi-energy system modelling and optimisation, ii) digitalisation, digital twin, and machine learning for energy system analytics, and iii) energy policy, economics, and local energy markets,
Visiting Research Associate
I defended my PhD thesis in Temple University November 2024 and have started working as a Postdoctoral Research Associate at the University of Birmingham. My research interests include: Power Systems, Renewable Energy, Machine Learning, Data Science
PhD Student and Research Assistant
I am a PhD student at the University of Birmingham. I graduated from the University of Birmingham Business School and have a background in international business, finance, and economics. My research focuses on the energy and carbon markets.
PhD Student and Research Assistant
I am a PhD student in University of Birmingham. I graduate from University of Sydney. I have programming, machine learning, basic business and electricity background. And my research interest is smart grid and machine learning.
PhD student
I am a PhD student in University of Birmingham. I graduated from Southeast University, School of Electrical Engineering. My research interests include Renewable Energy, Power Systems, Multi-energy Coupling and Optimization.
PhD student
I am a Ph.D. student at the University of Birmingham with a Master’s degree in Applied Statistics from North China Electric Power University. My academic experience bridges statistical theory and practical applications, particularly in machine learning and energy forecasting. My current research interests are broadly focused on local energy systems, aiming to explore innovative methodologies and practical solutions within this field.
Visiting PhD student
I am a current PhD student at the School of Environment, Nanjing University. My research interests include Natural Disasters, Renewable Energy Transition, and Causal Machine Learning.