Selected IALab papers


2020

[1] Beaudoin MA, Boulet B. Fundamental limitations to no-jerk gearshift in electric vehicles: the importance of transmission architectures. arXiv preprint arXiv:2009.12410. 2020 Sep 25.

[2] Darabi, M., Toukhtarian, R., Alizadeh, H. V., & Boulet, B. (2020). Closed-loop thickness control and sensor placement in extrusion blow molding. International Journal of Automation and Control.

[3] H. Zhang, D. Wu and B. Boulet, “A Review on Recent Advances of Reinforcement Learning for Smart Home Energy Management,” 2020 IEEE Electrical Power and Energy Conference (EPEC), Edmonton, AB, 2020, pp. 1-5

[4] Q. Dang, D. Wu and B. Boulet, “Microgrid Energy Storage Planning Considering EV Fleet Batteries as Operating Reserve,” 2020 IEEE Electrical Power and Energy Conference (EPEC), Edmonton, AB, 2020, pp. 1-5

[5] Seal, S., Boulet, B. and Dehkordi, V.R., 2020. Centralized model predictive control strategy for thermal comfort and residential energy management. Energy, 212, p.118456.

[6] T. Cui, D. Wu and B. Boulet, “Residential Short-term Load Forecasting via Boosting based Instance Transfer,” in IEEE Transactions on Smart Grid (Under review)

[7] W. Lin, D. Wu and B. Boulet, “Spatial-Temporal Residential Short-term Load Forecasting via Graph Neural Networks,” in IEEE Transactions on Smart Grid (Under revision)

[8] X. Huang, D. Wu and B. Boulet, “Ensemble Learning for Charging Load Forecasting of Electric Vehicle Charging Stations,” 2020 IEEE Electrical Power and Energy Conference (EPEC), Edmonton, AB, 2020, pp. 1-5

[9] Y. Fu, D. Wu, and B. Boulet. “Batch Reinforcement Learning in the Real World: A Survey.” In Offline Reinforcement Learning Workshop at NeurIPS. 2020.


2019

[1] Azarnoush, Hamed, et al. “Intravascular optical coherence tomography to validate finite-element simulation of angioplasty balloon inflation.” Physics in medicine and biology (2019).

[2] D Wu, TC Cui, D Precup, B Boulet. Data-Driven Chance Constraint Programming based Electric Vehicle Penetration Analysis. International Conference on Machine Learning (ICML) 2019 workshop on AI for Climate Change

[3] Q Dang, D Wu and B Boulet, “A Q-Learning Based Charging Scheduling Scheme for Electric Vehicles,” 2019 IEEE Transportation Electrification Conference and Expo (ITEC), Novi, MI, 2019, pp. 1-5.

[4] Q Dang, D Wu and B Boulet, “An Advanced Framework for Electric Vehicles Interaction with Distribution Grids Based on Q-Learning,”2019 IEEE Energy Conversion Congress and Exposition (ECCE), Baltimore, MD, 2019, pp. 1-5.

[5] D Wu, B Wang, D Precup and B Boulet. Multiple Kernel Learning based Transfer Regression for Electric Load Forecasting. IEEE Transactions on Smart Grid.


2018

[1] Toukhtarian, Raffi, et al. “Modeling polymer extrusion with varying die gap using Arbitrary Lagrangian Eulerian (ALE) method.” Physics of Fluids 30.9 (2018): 093103.

[2] Lotfalian, Reza, et al. “Acquisition Cost-Torque Capacity-Reliability Modeling for Spur Gears.” Journal of Mechanical Design 140.6 (2018): 064501.

[3] El Fathi, Anas, et al. “The artificial pancreas and meal control: An overview of postprandial glucose regulation in type 1 diabetes.” IEEE Control Systems Magazine 38.1 (2018): 67-85.

[4] Alizadeh, Hossein Vahid, Mohamed K. Helwa, and Benoit Boulet. “Modeling, analysis and constrained control of wet cone clutch systems: A synchromesh case study.” Mechatronics 49 (2018): 92-104.

[5] Maghoul, Pooya, et al. “Computer Simulation Model to Train Medical Personnel on Glucose Clamp Procedures.” Canadian journal of diabetes 41.5 (2017): 485-490.

[6] El Fathi, Anas, et al. “The artificial pancreas and meal control: An overview of postprandial glucose regulation in type 1 diabetes.” IEEE Control Systems Magazine 38.1 (2018): 67-85.

[7] D Wu, Rabusseau, G, François-lavet, V., D Precup, & B Boulet. Optimizing Home Energy Management and Electric Vehicle Charging with Reinforcement Learning. International Conference on Machine Learning (ICML) 2018 workshop on Adaptive Learning Agents.


2017

[1] Maghoul, Pooya, et al. “Computer Simulation Model to Train Medical Personnel on Glucose Clamp Procedures.” Canadian journal of diabetes 41.5 (2017): 485-490.

[2] 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. Springer, Cham, 2017.

[3] Mousavi, Mir Saman Rahimi, Hossein Vahid Alizadeh, and Benoit Boulet. “Estimation of synchromesh frictional torque and output torque in a clutchless automated manual transmission of a parallel hybrid electric vehicle.” IEEE Transactions on Vehicular Technology 66.7 (2017): 5531-5539.

[4] 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 (2017): 225-237.