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Prof. Benoit Boulet belongs to the Department of Electrical and Computer Engineering at Ď㽶ĘÓƵ and is the director of the Industrial Automation Group at CIM.
2023
A. Zabetian-Hosseini, B. Boulet, G. Joos, “Control Design for Effective Usage of Electric Vehicles in V2G-enabled DC Charging Stations”. IEEE Transactions on Power Delivery, Vol. 38, No. 6, Dec. 2023.
W. Song, D. Wu, W. Shen, B. Boulet, “Remaining Useful Life Prediction Method for Lithium-ion Battery Based on Temporal Transformer Network”. Procedia Computer Science, Vol. 217, DOI 10.1016/j.procs.2022.12.383, 2023.
X. Huang, D. Wu, B. Boulet, “MetaProbformer for Charging Load Probabilistic Forecasting of Electric Vehicle Charging Stations”. IEEE Transactions on Intelligent Transportation Systems, 2023, DOI 10.1109/TITS.2023.3276947.
S. Seal, B. Boulet, V.R. Dehkordi, F. Bouffard, G. Joos, “Centralized MPC for Home Energy Management with EV as Mobile Energy Storage Unit”. IEEE Transactions on Sustainable Energy doi: 10.1109/TSTE.2023.3235703, 2023.
J.E. Zhang, D. Wu, B. Boulet, “On the Performance of Legendre State-Space Models in Short-Term Time Series Forecasting”. 2023 IEEE CCECE.
X. Sun, D. Wu, B. Boulet, “Analyzing the Benefits of Data Augmentation for Smart Grid Anomaly Detection and Forecasting”. 2023 IEEE CCECE.
D. Wu, A. Zinflou, B. Boulet, “Tutorial: Time-Series Forecasting with Meta-Learning: Basics and Applications”. IEEE CCECE, Regina, Saskatchewan, Sept. 24-27, 2023.
2022
Marc-Antoine Beaudoin and Benoit Boulet. “Learning-based synthesis of robust linear time-invariant controllers”. In: IEEE Transactions on Intelligent Vehicles (2022).
Marc-Antoine Beaudoin and Benoit Boulet. “Improving gearshift controllers for electric vehicles with reinforcement learning”. In: Mechanism and Machine Theory 169 (2022), p. 104654.
Marc-Antoine Beaudoin and Benoit Boulet. “Structured learning of safety guarantees for the control of uncertain dynamical systems”. In: IEEE Transactions on Intelligent Vehicles (2022).
Huiliang Zhang et al. “Building energy management with reinforcement learning and model predictive control: A survey”. In: IEEE Access 10 (2022), pp. 27853–27862.
Mostafa Darabi et al. “Closed-loop thickness control and sensor placement in extrusion blow moulding”. In: International Journal of Automation and Control 16.5 (2022), pp. 621– 648.
Xijuan Sun et al. “Forecasting of Solar Energy Generation via Dynamic Model Ensemble”. In: 2022 IEEE Electrical Power and Energy Conference (EPEC). 2022, pp. 109–115.
Xijuan Sun et al. “Power System Anomaly Detection Via Ensemble of Encoder and Decoder Networks”. In: 2022 IEEE Electrical Power and Energy Conference (EPEC). 2022, pp. 116–122.
Jiuqi Elise Zhang, Di Wu, and Benoit Boulet. “Time Series Anomaly Detection via Reinforcement Learning-Based Model Selection”. In: 2022 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE). 2022, pp. 193–199.
Yuwei Fu, Di Wu, and Benoit Boulet. “On the Benefits of Transfer Learning and Reinforcement Learning for Electric Short-term Load Forecasting”. In: 2022 IEEE International Conferences on Internet of Things (iThings) and IEEE Green Computing & Communications (GreenCom) and IEEE Cyber, Physical & Social Computing (CPSCom) and IEEE Smart Data (SmartData) and IEEE Congress on Cybermatics (Cybermatics). 2022, pp. 195– 203.
Asal Zabetian-Hosseini, Geza Joos, and Benoit Boulet. “Centralized Control Design for Bidirectional DC Charging Stations to Enable V2G”. In: 2022 IEEE/PES Transmission and Distribution Conference and Exposition (T&D). 2022, pp. 1–5.
Yuwei Fu, Di Wu, and Benoit Boulet. “Reinforcement learning based dynamic model combination for time series forecasting”. In: Proceedings of the AAAI Conference on Artificial Intelligence. Vol. 36. 6. 2022, pp. 6639–6647.
2021
X. Huang, D. Wu, M. Jenkin, and B. Boulet. “ModelLight: Model-Based Meta-Reinforcement Learning for Traffic Signal Control,” arXiv preprint arXiv:2111.08067, 2021.
J.E. Zhang, D. Wu, and B. Boulet. “Time Series Anomaly Detection for Smart Grids: A Survey,” 2021 IEEE Electrical Power and Energy Conference (EPEC), 125-130, 2021.
Q. Dang, D. Wu, and B. Boulet. “Electric Vehicle Battery as Energy Storage Unit Consider Renewable Power Uncertainty,” 2021 IEEE Energy Conversion Congress and Exposition (ECCE), 668-673, 2021.
A. Zabetian-Hosseini, G. Joos, and B. Boulet. “Distributed Control Design for V2G in DC Fast Charging Stations,” 2021 IEEE Energy Conversion Congress and Exposition (ECCE), 655-661, 2021. Y. Fu, D. Wu, and B. Boulet. “Benchmarking Sample Selection Strategies for Batch Reinforcement Learning,” 2021
Q. Dang, D. Wu, and B. Boulet. “EV Fleet as Virtual Battery Resource for Community Microgrid Energy Storage Planning,” IEEE Canadian Journal of Electrical and Computer Engineering 44 (4), 431- 442, 2021.
D. Wu, C. Cui, and B. Boulet. “Residential Short-Term Load Forecasting via Meta Learning and Domain Augmentation,” IFIP International Workshop on Artificial Intelligence for Knowledge Management, 2021
W. Lin, D. Wu, and B. Boulet. “Spatial-Temporal Residential Short-Term Load Forecasting via Graph Neural Networks,” IEEE Transactions on Smart Grid 12 (6), 5373-5384. 2021
Q. Dang, D. Wu, and B. Boulet. “EV Fleet Batteries as Distributed Energy Resources Considering Dynamic Electricity Pricing,” 2021 IEEE 12th International Symposium on Power Electronics for Distributed Generation Systems (PEDG), 2021
H. Zhang, S. Seal, D. Wu, B. Boulet, F. Bouffard, and G. Joos. “Data-driven Model Predictive and Reinforcement Learning Based Control for Building Energy Management: a Survey,” arXiv preprint arXiv:2106.14450, 2021
M.A. Beaudoin and B. Boulet. “Fundamental limitations to no-jerk gearshifts of multi-speed transmission architectures in electric vehicles,” Mechanism and Machine Theory 160, 104290, 2021
R. Toukhtarian, M. Darabi, S. Hatzikiriakos, H. Atsbha, and B. Boulet. “Parameter identification of transport PDE/nonlinear ODE cascade model for polymer extrusion with varying die gap,” The Canadian Journal of Chemical Engineering 99 (5), 1158-1176, 2021
2020
A. El Fathi, R.E. Kearney, E. Palisaitis, B. Boulet, A. Haidar, A Model-Based Insulin Dose Optimization Algorithm for People with Type 1 Diabetes on Multiple Daily Injections Therapy. IEEE Transactions on Biomedical Engineering, doi: 10.1109/TBME.2020.3023555, 2020.
S. Seal, B. Boulet, V.R. Dehkordi, Centralized model predictive control strategy for thermal comfort and residential energy management. Energy, Vol. 212, 2020, doi: 10.1016/j.energy.2020.118456, 2020
R. Toukhtarian, M. Darabi, S. Hatzikiriakos, H. Atsbha, B. Boulet, Parameter identification of transport PDE/nonlinear ODE cascade model for polymer extrusion with varying die gap. The Canadian Journal of Chemical Engineering, doi: 10.1002/cjce.23910, 2020.
H. Zhang, D. Wu, B. Boulet, “A Review of Recent Advances on Reinforcement Learning for Smart Home Energy Management”. IEEE Electric Power and Energy Conference, Edmonton, AB, Canada, 2020, doi: 10.1109/EPEC48502.2020.9320042.
X. Huang, D. Wu, B. Boulet, “Ensemble Learning for Charging Load Forecasting of Electric Vehicle Charging Stations”. IEEE Electric Power and Energy Conference, Edmonton, AB, Canada, 2020, doi: 10.1109/EPEC48502.2020.9319916.
Q. Dang, D. Wu, B. Boulet, “Community Microgrid Energy Storage Sizing Considering EV Fleet Batteries as Supplemental Resource”. IEEE Electric Power and Energy Conference, Edmonton, AB, Canada, 2020, doi: 10.1109/EPEC48502.2020.9320089
Q. Dang, D. Wu, B. Boulet, “EV Charging Management with ANN-Based Electricity Price Forecasting” IEEE Transportation Electrification Conference, June 24-26, 2020, Chicago, IL.
2019
Wu, D., Wang, B., Precup, D., Boulet, B., “Multiple Kernel Learning based Transfer Regression for Electric Load Forecasting”. IEEE Transactions on Smart Grid, 10.1109/TSG.2019.2933413, 2019.
Seal, S., Raissi Dehkordi, V., Boulet, B., C”oordination of Radiant Floor and Baseboard Heating Systems: Sequential and Simultaneous MPC Schemes”. Science and Technology for the Built Environment, 1-25, 2019.
Azarnoush, H., Pazos, V., Vergnole, S., Boulet, B., Lamouche, G. “Intravascular optical coherence tomography to validate finite-element simulation of angioplasty balloon inflation”. Physics in Medicine & Biology, 64-9, 2019.
Q. Dang, D. Wu, B. Boulet, “A Q-Learning-Based Charging Scheduling Scheme for Electric Vehicles” IEEE Transportation Electrification Conference , July 19-21, 2019, Novi, MI.
A. El Fathi, E. Palisaitis, B. Boulet, L. Legault, A. Haidar “An Unannounced Meal Detection Module for Artificial Pancreas Control Systems” American Control Conference, July 9-12, 2019, Philadelphia, NJ, pp. 4130-4135.
2018
Toukhtarian, R., Hatzikiriakos, S. G., Atsbha, H., Boulet, B., Modeling polymer extrusion with varying die gap using Arbitrary Lagrangian Eulerian (ALE) method. Physics of Fluids, Vol. 30, No. 9, doi:10.1063/1.5045739, 2018.
Lotfalian, R., Martins, S., Radziszewski, P., Boulet, B., Acquisition Cost-Torque Capacity-Reliability Modelling for Spur Gears. ASME Journal of Mechanical Design, Vol. 140, No. 6, doi: 0.1115/1.4039588, 2018.
Alizadeh, H.V., Helwa, M.K., Boulet, B., Modeling, analysis and con-strained control of wet cone clutch systems: A synchromesh case study. Mechatronics 49, 92-104, 2018.
El Fathi, A., Smaoui, M.R., Gingras, V., Boulet, B., Haidar, A., The Artifical Pancreas and Meal Control: An Overview of Postprandial Glucose Regulation in Type 1 Diabetes. IEEE Control Systems 38(1), 67-85, 2018.
M. Razban, J. Dargahi, B. Boulet, A Sensor-less Catheter Contact Force Estimation Approach in Endovascular Intervention Procedures. 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, October 1-5, Madrid, Spain, pp. 2100-2106.
2017
P Maghoul, B Boulet, A Tardif, A Haidar, Computer Simulation Model to Train Medical Personnel on Glucose Clamp Procedures, Canadian Journal of Diabetes. 41(5), 485-490, 2017.
D Wu, H Zeng, C Lu, B Boulet, Two-Stage Energy Management for Office Buildings with Workplace EV Charging and Renewable Energy. IEEE Transactions on Transportation Electrification 3 (1), 225-237, 2017.
Mousavi, M. S. R., Alizadeh, H. V., Boulet, B., Estimation of Synchromesh Frictional Torque and Output Torque in a Clutchless Automated Manual Transmission of a Parallel Hybrid Electric Vehicle, IEEE Trans. on Vehicular Technology, 66 (7), pp. 5531-5539, 2017.
D. Wu, B. Wang, D. Precup, B. Boulet, Boosting Based Multiple Kernel Learning and Transfer Regression for Electricity Load Forecasting. Joint European Conference on Machine Learning and Knowledge Discovery in Databases, Skopje, Macedonia, 18-22 September 2017, pp. 39-51.
