E-Predictor – AI prediction & simulation for building energy consumption and carbon emissions
Using artificial intelligence (AI) for building energy consumption modelling will have great benefits for both society and the environment. It can also help build a more sustainable and environmentally-friendly city.
Our team has expertise and experience in machine learning, IoT sensor technology and building energy efficiency. We have developed a set of data-processing tools and an advanced algorithm running on the cloud to collect and process building energy metre data and related data, like weather, which is used to predict energy consumption in a specific time zone in the future with machine learning.
Team members
Dr Huang Jianglin* (Alumnus, Dept. of Systems Engineering and Engineering Management, CityU)
Mr Chan Dinglong David (University of Shanghai for Science & Technology)
Ms Wang Zhixia Rita (University of Electronic Science and Technology of China)
* Person-in-charge
(Info based on the team's application form)
Mr Chan Dinglong David (University of Shanghai for Science & Technology)
Ms Wang Zhixia Rita (University of Electronic Science and Technology of China)
* Person-in-charge
(Info based on the team's application form)
Achievement
1. CityU HK Tech 300 Seed Fund (2021)
Email