Data-Driven Analytics for Sustainable Buildings and Cities: From Theory to Application

Xingxing Zhang is an Associate Professor in energy technology at Dalarna University, Sweden. He has multidisciplinary research experience, especially in energy systems, energy data analytics, adaption to future climate and urban building energy modelling for sustainable transition. He is leading the City Information Modelling (CIM) group at the university, which includes technical, economic, and environmental analyses by interdisciplinary research methods from building physics, energy engineering, informatics, machine learning and artificial intelligence. He is active in EU, UK and China research networks, by working in Swedish national projects, Sweden-China joint project, Nordic research project, EU H2020/FP7 projects, EU cost action and IEA tasks. He has won the second place of EU-China Dragon-star Innovation Prize in 2015. He serves as Editor Board Member of two journals and the regular reviewer for many international journals. He has an Accredited Professional Certificate of Leadership in Energy and Environmental Design (LEED AP) and he is UK Chartered Engineer (CEng), Member of Chartered Institution of Building Services Engineers (CIBSE) and CIB Commission Member of W098 Intelligent and Responsive Buildings.