News and Updates

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”.
Jun 6, 2023 1 min read

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”.
Mar 21, 2023 1 min read

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.
Feb 26, 2023 2 min read

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.
Jan 31, 2023 2 min read

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.
Aug 12, 2022 2 min read

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

Maomao Hu was invited of a talk at ERE Graduate Seminar.
Mar 7, 2022 2 min read

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.
Feb 18, 2022 1 min read

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.
Jan 1, 2022 2 min read

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

After 2ish years at the University of Oxford as a postdoc, Iā€™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.
Nov 22, 2021 1 min read

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.
Oct 1, 2021 2 min read