News

News & Updates

Jan 2024 | The BIOR Lab launched at National University of Singapore!

The BIOR Lab officially launched at NUS in Jan 2024. We are looking forward to working with great colleagues and talented students at NUS!

Oct. 2023 | New paper entitled "Developing energy flexibility in clusters of buildings - a critical analysis of barriers from planning to operation" was published in *Energy and buildings*.

Our recent research paper entitled “Developing energy flexibility in clusters of buildings - a critical analysis of barriers from planning to operation” was published in Energy and Buildings.

Oct 2023 | A talk was given to the ZERO Institute, Department of Engineering Science, University of Oxford, UK.

A talk was given to the Department of Engineering Science, University of Oxford, UK. The talk was entitled “Decarbonisation of Building and Urban Energy Systems: A Multiscale Data-driven Approach”.

August 2023 | A talk was given to the Department of the Built Environment, National University of Singapore.

A talk was given to the Department of the Built Environment, National University of Singapore, Singapore. The talk was entitled “Decarbonization of Building and Urban Energy Systems: A Multiscale Data-driven Approach”.

July 2023 | A talk was given on 2023 International Summer School on Exploring Pathways for Low-Carbon Buildings, University of Shanghai for Science and Technology, Shanghai, China.

A talk was given on 2023 International Summer School on Exploring Pathways for Low-Carbon Buildings, hosted by the University of Shanghai for Science and Technology, Shanghai, China. The talk was entitled “Decarbonization of Building and Urban Energy Systems: A Multiscale Data-driven Approach”.

July 2023 | New paper entitled "Empirical Exploration of Zone-by-zone Energy Flexibility - a Non-intrusive Load Disaggregation Approach for Commercial Buildings" was published in *Energy and buildings*.

Our recent research paper entitled “Empirical Exploration of Zone-by-zone Energy Flexibility - a Non-intrusive Load Disaggregation Approach for Commercial Buildings” was published in Energy and Buildings.

June 2023 | A talk was given to the Texas A&M University, College Station, TX.

A talk was given to the Texas A&M University, College Station, TX, on “Decarbonization of Building and Urban Energy Systems: A Multiscale Data-driven Approach”.

March 2023 | A talk was given to the Institute of Refrigeration and Cryogenics at Zhejiang University, China.

A talk was given to the Institute of Refrigeration and Cryogenics at Zhejiang University, China on “Decarbonization of Building and Urban Energy Systems: A Multiscale Data-driven Approach”.

Feb 2023 | New paper entitled "Impacts of building load dispersion level on its load forecasting accuracy - Data or algorithms Importance of reliability and interpretability in machine learning" was published in *Energy and buildings*.

Our recent research paper entitled “Impacts of building load dispersion level on its load forecasting accuracy - Data or algorithms Importance of reliability and interpretability in machine learning” was published in Energy and Buildings.

Jan 2023 | New paper entitled "A novel forecast-based operation strategy for residential PV-battery-flexible loads systems considering the flexibility of battery and loads" was published in *Energy Conversion and Management*!

Our recent research paper entitled “A novel forecast-based operation strategy for residential PV-battery-flexible loads systems considering the flexibility of battery and loads” was published in Energy Conversion and Management.

Aug 2022 | New paper entitled "Stochastic modelling of flexible load characteristics of split-type air conditioners using grey-box modelling and random forest method" was published in *Energy and Buildings*!

Our recent research paper entitled “Stochastic modelling of flexible load characteristics of split-type air conditioners using grey-box modelling and random forest method” was published in Energy and Buildings.

Mar 2022 | A talk was given at ERE Graduate Seminar at Stanford.

Maomao Hu was invited of a talk at ERE Graduate Seminar.

Feb 2022 | Maomao Hu was profiled by the 85th Anniversary Special Issue of PolyU Excel x Impact Magazine.

Maomao Hu was recently profiled by the 85th Anniversary Special Issue of PolyU Excel x Impact Magazine.

Jan 2022 | Our new paper entitled "Probabilistic electrical load forecasting for buildings using Bayesian deep neural networks" was published in *Journal of Building Engineering*!

Our recent research paper entitled “Probabilistic electrical load forecasting for buildings using Bayesian deep neural networks” was published in Journal of Building Engineering.

Nov 2021 | New journey in Dept. of Energy Resources Engineering at Stanford University!

After 2ish years at the University of Oxford as a postdoc, I’m excited to share that I am joining Stanford University this week as a postdoc for the COOLER project, whose goal is to enable low-carbon, electrified district energy systems using Stanford campus as a real-life testbed.

Oct 2021 | Our new paper entitled "Classification and characterization of intra-day load curves of PV and non-PV households using interpretable feature extraction and feature-based clustering" was published in *Sustainable Cities and Society*!

Our recent research paper entitled “Classification and characterization of intra-day load curves of PV and non-PV households using interpretable feature extraction and feature-based clustering” was published in Sustainable Cities and Society.

Aug 2021 | A talk was given at the Sino-UK Joint Symposium on Post Covid-19 Pandemic - A Reconsideration for the Built Environment.

A talk was given at the Sino-UK Joint Symposium on Post Covid-19 Pandemic - A Reconsideration for the Built Environment, hosted by Tongji University, China and University of Nottingham, UK.

Aug 2021 | A talk was given to the School of Environmental Science and Engineering, Huangzhong University of Science and Technology.

A talk was given to the School of Environmental Science and Engineering, Huangzhong University of Science and Technology, China on “Data-driven Descriptive, Predictive, and Prescriptive Analytics of Building and Urban Energy Systems”.

May 2021 | I am now a participant in IEA EBC 81 and IEA EBC 82 projects.

I am glad to share that I am now a participant in two IEA EBC (International Energy Agency, Energy in Buildings and Communities) ongoing projects: IEA ANNEX 81 Data-Driven Smart Buildings (2020-2024) IEA ANNEX 82 Energy Flexible Buildings Towards Resilient Low Carbon Energy Systems (2020-2024) Thanks for having me in the community.

Apr 2021 | A talk was given to the Dept. of Built Environment and Enery Application Engineering, Hunan University.

A talk was given to the Dept. of Built Environment and Enery Application Engineering, Hunan University on “Data-driven Descriptive, Predictive, and Prescriptive Analytics of Building and Urban Energy Systems”.

Jan 2021 | Our R package named PHOVAFER (PHOtoVoltAic FindER) was released.

“PHOtoVoltAic FindER” (phovafer) is developed for identifying the solar photovoltaic (PV) customers among the regular consumers on a low-voltage distribution network. It contains the R functions for data representation, feature extraction, and PV users’ classification using the extracted features.

Dec 2020 | Glad to share that I was recently appointed as a Reviewer Board member of the jounal of *Science and Technology for the Built Environment* .

Recently Dr. Hu was appointed as a member of the Reviewer Board of the journal of Science and Technology for the Built Environment (STBE).

Nov 2020 | A talk was given at the China-UK Workshop on “Integrating Sustainable Technologies into the Design Strategies of New Communities or Regeneration Projects” funded by Newton Fund.

A talk entitled “Classification and Characterization of Smart Meter Data Using Interpretable Feature Extraction and Feature-based Clustering” was given by Dr. Hu at the China-UK Workshop on “Integrating Sustainable Technologies into the Design Strategies of New Communities or Regeneration Projects” funded by NSFC China and the British Council Newton Fund.

Oct 2020 | Our Python package named IFEEL (Interpretable Feature Extraction of Electricity Loads) was released.

We developed a Python package (IFEEL), which aims to help energy data analysts to readily extract interpretable features of daily electricity profiles from a physical perspective.

Sep 2020 | Our new paper entitled "Development of an ANN-based Building Energy Model for Information-poor Buildings Using Transfer Learning" was published in *Building Simulation*!

Our recent research paper entitled “Development of an ANN-based Building Energy Model for Information-poor Buildings Using Transfer Learning” was published in Building Simulation.

Aug 2020 | Our new paper entitled "Neighborhood-level Coordination and Negotiation Techniques for Managing Demand-side Flexibility in Residential Microgrids" was published in *Renewable and Sustainable Energy Reviews*.

Our recent review article entitled “Neighborhood-level Coordination and Negotiation Techniques for Managing Demand-side Flexibility in Residential Microgrids” was published in Renewable and Sustainable Energy Reviews. Glad to see my last piece of work at PolyU coming out.

Mar 2020 | New journey in Dept. of Engineering Science at University of Oxford!

Since March 2020, I joins the Energy and Environmental Informatics group in Department of Engineering Science at University of Oxford. I works with Professor David Wallom as a postdoctoral researcher for Project AMIDiNe.