News and Updates

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”.

“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.

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

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.

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.

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.

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.

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.