Tsinghua University
Tsinghua University
1 Projects, page 1 of 1
assignment_turned_in Project2022 - 9999Partners:Tsinghua University, Technische Universiteit Delft, Faculteit Elektrotechniek, Wiskunde en Informatica, Electrical Sustainable Energy, Intelligent Electrical Power Grids, Technische Universiteit Delft, Faculteit Bouwkunde, OTB - Research for the Built Environment, GIS Technology, PEPITe S.A., Geodan +12 partnersTsinghua University,Technische Universiteit Delft, Faculteit Elektrotechniek, Wiskunde en Informatica, Electrical Sustainable Energy, Intelligent Electrical Power Grids,Technische Universiteit Delft, Faculteit Bouwkunde, OTB - Research for the Built Environment, GIS Technology,PEPITe S.A.,Geodan,Jibei Electric Power Grid Co.,Zhejiang University,Jibei Electric Power Grid Co.,Technische Universiteit Delft, Faculteit Elektrotechniek, Wiskunde en Informatica, Electrical Sustainable Energy, Electrical Power Systems,Geodan,PEPITe S.A.,Zhejiang University,Tsinghua University,Technische Universiteit Delft,THUAS,Technische Universiteit Delft, Faculteit Elektrotechniek, Wiskunde en Informatica, Applied Mathematics, Delft Institute of Applied Mathematics (DIAM),Technische Universiteit Delft, Faculteit BouwkundeFunder: Netherlands Organisation for Scientific Research (NWO) Project Code: 482.20.602In order to meet the 2030 emissions reduction targets of the Climate Agreement, the Dutch and Chinese government requires active participation of all energy systems users. Only by properly coordinating energy generation and consumption among all users, we will be able to ensure a safe provision of energy with minimum cost. In this project, we propose to use different sources of data combined with advanced AI and engineering methods to achieve this required level of coordination. We will also develop new understanding methods of acceptance of renewable technology by residential users.
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