AI Thrust Seminar | Data-Driven and Machine Learning Solutions for Smart Building Design and Total Energy Performance
Data-driven energy efficiency solutions are highly demanded and among the most important topics in the related fields, such as smart building/city design, applied energy applications, electrical and electronic engineering, automation and constructions. Three topics are covered in this seminar, including: 1) data-driven fault detection and diagnosis (FDD) of heating, ventilation and air-conditioning (HVAC) systems, 2) energy consumption forecasting problem for individual households and 3) solar energy performance and optimization solutions. First, I will introduce the most up-to-date total energy performance problems of the above three topics and the motivations of using data-driven and machine learning techniques to solve these problems. Second, the methodologies that we proposed and developed in the past five years will be briefly described, which include extensions of generative adversarial networks, parallel long-short term memory networks and the federated learning structure for smart building and energy optimization problems. Last, the trends of using machine learning technology in the field of smart city design are summarized. At the end of the seminar, I will introduce some of my teaching and service works in the National University of Singapore (NUS).
Dr. Ke Yan is currently an assistant professor (tenure-track) with the Department of the Built Environment, College of Design and Engineering, National University of Singapore. He received both bachelor and Ph.D. degrees of computer science from School of Computing (SoC), National University of Singapore (NUS), Singapore in 2006 and 2012 respectively. He worked in Masdar Institute of Science and Technology (MIST) campus, Khalifa University, Abu Dhabi, UAE as a post-doctoral researcher from 2012 to 2014. Dr. Yan is actively engaged in cross-discipline research fields, including machine learning, cyber intelligence, applied mathematics, sustainable environment, applied energy and etc. He has published more than 60 full length papers with highly ranked conferences and journals, such as International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS), Association for the Advancement of Artificial Intelligence (AAAI), IEEE Transactions on Industrial Informatics (TII), IEEE Transactions on Sustainable Energy (TSE), IEEE Transactions on Systems, Man and Cybernetics: Systems (SMCA), IEEE Transactions on Automation Science and Engineering (T-ASE), Applied Energy (AE), Energy and Buildings (ENB), Building and Environment (BAE) and etc. Dr Yan has organized four special issues for reputable journals as the leading/corresponding guest editor and five international conferences as an organizational committee member. His most recent H-index is 21 and I10-index is 33.