‘Machine learning algorithms help achieve the district building energy efficiency’

 

Yu Cui/ PhD student, Centre for Sustainable Energy Technologies (CSET), Energy and Environment Institute

 

With the rapid development of building information modeling and machine learning algorithms, the smart city has become a popular concept in the building field. District energy management system plays an important role in the smart city framework to achieve sustainable development. This talk will give you a general idea about the link of machine learning algorithms and district building energy efficiency by discussing three topics: (1) why should we design and develop this system, (2) how to use different machine learning tools to achieve suitable model in different sensorial, and (3) how does the system work.

 

Biography

Yu Cui is a PhD candidate of Energy and Environment Institute in University of Hull and her doctoral supervisor is Professor Xudong Zhao and Dr. Zishang Zhu. Her main research direction is ‘application of machine learning and deep learning algorithm in urban/building energy consumption simulation’.