Dr Maomao Hu received his PhD degree in Building Services Engineering at the Hong Kong Polytechnic University (PolyU) in 2019. In 2018, he studied as a guest PhD student in Department of Applied Mathematics and Computer Science at Technical University of Denmark. After his PhD, he continued to work as a postdoctoral research fellow at PolyU till February 2020.
Maomao’s current research interests include data analytics, data-driven modelling, numerical optimisation, and model predictive control of building energy systems for energy efficiency and energy flexibility.
Since March 2020, he joins the Energy and Environmental Informatics group in Department of Engineering Science at University of Oxford. He works with Professor David Wallom as a postdoctoral researcher for Project AMIDiNe.
- Data analytics and data-driven modelling for building energy systems;
- Numerical optimisation;
- Uncertainty analysis;
- Model predictive control of building energy systems for energy efficiency and energy flexibility.
Project: Analytical Middleware for Informed Distribution Networks (AMIDiNe)
(Devising analytics that link point measurement to whole system to address the increasingly problematic management of electrical load on distribution networks as the UK transitions to a low carbon energy system)
A full list of Maomao's publications can be found on ORCID.
Best Student Paper Award (1st place) at 5th International High Performance Buildings Conference, Purdue University, IN, USA, 9-12 July 2018.