Journal/Conference Publications

Jérôme Le Dréau, Rui Amaral Lopes, Sarah O’Connell, Donal Finn, Maomao Hu, etc. (2023). Developing energy flexibility in clusters of buildings - a critical analysis of barriers from planning to operation. Energy and Buildings.

Zhengyi Luo, Jinqing Peng, Maomao Hu, Wei Liao, Yi Fang (2023). Multi-objective optimal dispatch of household flexible loads based on their real-life operating characteristics and energy-related occupant behavior. Building Simulation.

Maomao Hu, Ram Rajagopal, Jacques A. de Chalendar (2023). Empirical Exploration of Zone-by-zone Energy Flexibility: a Non-intrusive Load Disaggregation Approach for Commercial Buildings. Energy and Buildings.

Maomao Hu, Bruce Stephen, Jethro Browell, Stephen Haben, David C.H. Wallom (2023). Impacts of building load dispersion level on its load forecasting accuracy: Data or algorithms? Importance of reliability and interpretability in machine learning. Energy and Buildings.

Zhengyi Luo, Jinqing Peng, Yutong Tan, Rongxin Yin, Bin Zou, Maomao Hu, Jinyue Yan (2023). A novel forecast-based operation strategy for residential PV-battery-flexible loads systems considering the flexibility of battery and loads. Energy Conversion and Management.

Zhihao Jiang, Jinqing Peng, Rongxin Yin, Maomao Hu, Jingyu Cao, Bin Zou (2022). Stochastic modelling of flexible load characteristics of split-type air conditioners using grey-box modelling and random forest method. Energy and Buildings.

Lei Xu, Maomao Hu, Cheng Fan (2022). Probabilistic electrical load forecasting for buildings using Bayesian deep neural networks. Journal of Building Engineering.

Maomao Hu, Dongjiao Ge, Rory Telford, Bruce Stephen, David C.H. Wallom (2021). Classification and characterization of intra-day load curves of PV and non-PV households using interpretable feature extraction and feature-based clustering. Sustainable Cities and Society.

Ao Li, Fu Xiao, Cheng Fan, Maomao Hu (2021). Development of an ANN-based building energy model for information-poor buildings using transfer learning. Building Simulation.

Maomao Hu, Fu Xiao, Shengwei Wang (2021). Neighborhood-level coordination and negotiation techniques for managing demand-side flexibility in residential microgrids. Renewable and Sustainable Energy Reviews.

Maomao Hu, Fu Xiao (2020). Quantifying uncertainty in the aggregate energy flexibility of high-rise residential building clusters considering stochastic occupancy and occupant behavior. Energy.

Maomao Hu, Fu Xiao, Howard Cheung (2020). Identification of simplified energy performance models of variable-speed air conditioners using likelihood ratio test method. Science and Technology for the Built Environment.

Maomao Hu, Fu Xiao, John Bagterp Jørgensen, Rongling Li (2019). Price-responsive model predictive control of floor heating systems for demand response using building thermal mass. Applied Thermal Engineering.

Lingshi Wang, Fu Xiao, Borui Cui, Maomao Hu, Tao Lu (2019). Performance analysis of absorption thermal energy storage for distributed energy systems. Energy Procedia.

Maomao Hu, Fu Xiao, John Bagterp Jørgensen, Shengwei Wang (2019). Frequency control of air conditioners in response to real-time dynamic electricity prices in smart grids. Applied Energy.

Kui Shan, Jiayuan Wang, Maomao Hu, Dian-ce Gao (2019). A model-based control strategy to recover cooling energy from thermal mass in commercial buildings. Energy.

Maomao Hu, Fu Xiao (2018). Model Predictive Control of Inverter Air Conditioners Responding to Real-Time Electricity Prices in Smart Grids. 5th International High Performance Buildings Conference.

Maomao Hu, Fu Xiao (2018). Price-responsive model-based optimal demand response control of inverter air conditioners using genetic algorithm. Applied Energy.

Maomao Hu, Fu Xiao (2017). Model-based optimal load control of inverter-driven air conditioners responding to dynamic electricity pricing. Energy Procedia.

Maomao Hu, Fu Xiao (2017). Investigation of the Demand Response Potentials of Residential Air Conditioners Using Grey-box Room Thermal Model. Energy Procedia.

Maomao Hu, Fu Xiao, Lingshi Wang (2017). Investigation of demand response potentials of residential air conditioners in smart grids using grey-box room thermal model. Applied Energy.