Posts

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.