
Connor is a PhD student in Building Engineering at Concordia University’s Intelligent Building and Communities Lab (IBCL). Supervised by Dr. Mohamed Ouf and Dr. Liam O’Brien, his PhD research focuses on mixed methods applications of data analytics and human-centred design to assist building operators with energy monitoring methods and efficient operational techniques.
Sessions in which Connor Brackley participates
Thursday 28 July, 2022
Agent-based Decentralized Energy Management with Distributed Intelligence for HVAC ControlFPHussain, Syed Asad (1); Jayasena, Amindha (1); Wang, Lan (2); Lee, Eric Wai Ming (3); Kwok Kit Yuen, Richard (3); Sadiq, Rehan (1); Hewage, Kasun (1)Hussain, Syed AsadSocio-technical challenges to operational energy management in buildings: Semi-structured interviews with two faci...
Sessions in which Connor Brackley attends
Monday 25 July, 2022
Tuesday 26 July, 2022
Extract Typical air-conditioning behavior pattern based on large-scale online VRF system operating dataISDa YanUnderstand Human Mobility Patterns in Arizona through Big Data AnalysisISBing DongApplications of big data on residential properties to provide decision-support for building energy policies...
Developing a Window Control Algorithm Based on Reinforcement Learning for Indoor PM2.5 MitigationFPAn, Yuting (1); Xia, Tongling (1); You, Ruoyu (2); Lai, Dayi (3); Liu, Junjie (4); Chen, Chun (1,5)An, YutingModel-Free Reinforcement Learning Based Control for Radiant Floor Heating SystemsFPHan, Xu (1,2); Malkawi, Ali (1,2)Han, Xu
Wednesday 27 July, 2022
Experimental Investigation of Indoor Air Ventilation in a small-scale aircraft cabin modelFPHerzberg, Martin;Otto, Henning;Resagk, Christian;Cierpka, ChristianHenning OttoImpact of elevated CO2 exposure due to a face mask on thermal comfort and cognitive performance in a warm environmentFPHurley, Rachel FrancesHurley, R...
Thursday 28 July, 2022
Evaluate the Energy Saving from Window Opening Behavior through Coupling a Deep Learning Model with EnergyPlusFPPandey, Pratik Raj; Dong, Bing; Sharifi, Nina; Malsegna, Mason KennethPandey, Pratik RajDeveloping thermostat user mental models to inform better energy-saving designFPTamas, Ruth; O'Brien, Liam; Santana Quintero, MarioTa...
Roots and mechanisms of thermal comfort expectations: from individuals’ own background to adaptation and changeFPPistore, Lorenza; Pasut, WilmerPistore, LorenzaThe prediction accuracy of ISO and ASHRAE Predicted Mean Vote (PMV)FPTartarini, Federico (1); Cheung, Toby (1); Schiavon, Stefano (2); Arens, Edward (2)Tartarini, Federico