Research Project: IMMA - Intelligent Energy Modeling in Buildings and Cities with Micro-data Analytics

Project leader: Mengjie Han

Project Members: Jingchun Shen
Xingxing Zhang

Project Period: 01-03-2020 - 30-06-2021

Project Status: Present

Description: This research network, entitled with Intelligent Energy Modeling in Buildings and Cities with Micro-data Analvtics (IMMA), aims to strengthen the practical collaborations of two research profiles, Energy and Micro-data Analysis (MDA) in the School of Technology and Business Studies.

Keywords

Research Profile: Complex Systems - Microdata Analysis

Subject: Microdata Analysis
Energy Technology

Financiers: Högskolan Dalarna

Publications

Han, Mengjie, Wang, Zhenwu, Zhang, Xingxing. An Approach to Data Acquisition for Urban Building Energy Modeling Using a Gaussian Mixture Model and Expectation-Maximization Algorithm, Buildings, 2021, Vol. 11, No. 1. Article : refereed.