I am developing Machine Learning and Deep Learning models for evaluation the energy performance to detect and diagnose the simultaneous multiple faults in the HVAC systems of the commercial buildings which accounts for about 40% of the total energy use in the US. I use Python with Scikit-learn, TensorFlow, PyTorch, and Keras libraries for the development of models, as my PhD thesis. Also, I am a data scientist skilled in programming with Python and SQL (pgAdmin) for data analysis.
Moreover, I Developed machine learning models using historical data of HVAC system of two semi-detached houses located in Inuvik, NWT, Canada and weather data for prediction of heating energy use and developed the Principal Component Analysis (PCA) model for fault detection and diagnosis scope in the HVAC system as my MASc thesis.
Sessions in which Behrad Bezyan participates
Wednesday 27 July, 2022
Data-Driven Smart Buildings: A New EraISJose CandenadoJose CandenadoDisaggregating building-level occupancy into zone-level occupant counts using sensor fusionFPBrodie HobsonBrodie HobsonEffect of submeter density and configuration on disaggregation accuracy in commercial buildings...
Sessions in which Behrad Bezyan attends
Tuesday 26 July, 2022
Dr. Leon Wang (General President of COBEE 2022 / Président général COBEE 2022)Dr. Graham Carr (President of Concordia University / Président de l’université Concordia)Mme Kaïla Munro (City of Montréal/ Ville de Montréal)Dr. Andreas Athienitis (Director...
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...
SOLAR BUILDINGS AND STRUCTURAL WIND RESILIENCE IN WIND CODES AND STANDARDSFPAlrawashdeh, Hatem;Stathopoulos, TedHatem AlrawashdehFeasibility of using solar PV and solar thermal energy in high-rise commercial buildingsFPShirinbaksh, Mehrdad;Harvey, L.D. DannyMehrdad ShirinbakshDecarbonizing the N...
Wednesday 27 July, 2022
Colleen S.L. Mercer Clarke, M.Sc., M.L.A., Ph.D., FCSLA/APALAThe Nature of Progress: How Working to Integrate Society with Environment will Transform our Society and our Future. Increas...
Thursday 28 July, 2022
Energy-driven Urban Configuration Optimization based on Modified Deep Reinforcement LearningFPHuang, Chenyu (1);Zhuang, Zhi (2);Zhang, Yongming (2);Yao, Jiawei (2)Huang, ChenyuA simulation tool for renewable energy supported buildingsFPKuru, Mustafa (1);Gökçül, Furkan (2);Ölmez, Burak Behlül (3);Eicker, Ursula (4);
How will mechanical night ventilation affect the electricity use and the electrical peak power demand in 30 years? – A case study of a historic office building in SwedenFPBakhtiari, Hossein; Sayadi, Sana; Akander, Jan; Hayati, Abolfazl; Cehlin, MathiasBakhtiari, HosseinAssessing the Thermal Resilience of Multiple Outage Events using a Multi-Objective Optimization Analysi...