Our PhD student Jose speaks at the Machine Learning for Science and Engineering Symposium in Pittsburgh (June 6-8, 2018) during the Civil Engineering track. He’s talk is entitled Deep Reinforcement Learning for Urban Energy Management and introduces his research in CityLearn: Abstract: The building sector is one of the largest consumers of… read more
Publication
Presentation at ACM Computer-Human-Interaction 2018
Our awesome PhD student June flew to Montreal this week to present his work on Reinforcement Learning for Occupant Centered Building Control at a workshop on Living Labs during the ACM Computer-Human-Interaction (CHI) conference. His talk was part of a workshop organized by the amazing folks over at the Well Living… read more
Machine Learning for occupancy based cooling control
Applied Energy has published our work Using machine learning techniques for occupancy-prediction-based cooling control in office buildings. We propose a demand-driven control strategy that automatically responds to occupants’ energy-related behavior for reducing energy consumption and maintains room temperature for occupants with similar performances as a static cooling. This learning-based approach reduces the… read more