| Synthetic data generator for electric vehicle charging sessions: modeling and evaluation using real-world data M Lahariya, DF Benoit, C Develder Energies 13 (16), 4211, 2020 | 37 | 2020 |
| Reduced state space and cost function in reinforcement learning for demand response control of multiple EV charging stations M Lahariya, N Sadeghianpourhamami, C Develder Proceedings of the 6th ACM international conference on systems for energy …, 2019 | 10 | 2019 |
| Defining a synthetic data generator for realistic electric vehicle charging sessions M Lahariya, D Benoit, C Develder Proceedings of the Eleventh ACM International Conference on Future Energy …, 2020 | 9 | 2020 |
| Physics-Informed LSTM Network for Flexibility Identification in Evaporative Cooling System M Lahariya, F Karami, C Develder, G Crevecoeur IEEE Transactions on Industrial Informatics 19 (2), 1484-1494, 2022 | 6 | 2022 |
| Physics-informed recurrent neural networks for the identification of a generic energy buffer system M Lahariya, F Karami, C Develder, G Crevecoeur 2021 IEEE 10th Data Driven Control and Learning Systems Conference (DDCLS …, 2021 | 5 | 2021 |
| Calculation of theoretical performance of boron-based composite solid propellant for the future applications SA Hashim, M Lahariya, S Karmakar, A Roy Innovative Design and Development Practices in Aerospace and Automotive …, 2017 | 5 | 2017 |
| Learning physics-informed simulation models for soft robotic manipulation: A case study with dielectric elastomer actuators M Lahariya, C Innes, C Develder, S Ramamoorthy 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2022 | 4 | 2022 |
| A data-driven optimization framework for industrial demand-side flexibility C Manna, M Lahariya, F Karami, C Develder Energy 278, 127737, 2023 | 3 | 2023 |
| Computationally efficient joint coordination of multiple electric vehicle charging points using reinforcement learning M Lahariya, N Sadeghianpourhamami, C Develder arXiv preprint arXiv:2203.14078, 2022 | 1 | 2022 |
| Real-World Implementation of Reinforcement Learning Based Energy Coordination for a Cluster of Households G Gokhale, N Tiben, MS Verwee, M Lahariya, B Claessens, C Develder Proceedings of the 10th ACM International Conference on Systems for Energy …, 2023 | | 2023 |
| AQ-Learning-Based Demand Response Algorithm for Industrial Processes with Operational Flexibility F Karami, M Lahariya, G Crevecoeur Handbook of Smart Energy Systems, 3009-3025, 2023 | | 2023 |
| Physics-informed machine learning based identification and reinforcement learning based control of flexibility in smart grid applications M Lahariya Ghent University, 2023 | | 2023 |
| Optimized cost function for demand response coordination of multiple EV charging stations using reinforcement learning M Lahariya, N Sadeghianpourhamami, C Develder arXiv preprint arXiv:2203.01654, 2022 | | 2022 |
| A Q-Learning Based Demand Response Algorithm for Industrial Processes with Flexibility F Karami, M Lahariya, G Crevecoeur Handbook of Smart Energy Systems, 1-17, 2012 | | 2012 |
