| Maintenance optimization in industry 4.0 L Pinciroli, P Baraldi, E Zio Reliability Engineering & System Safety 234, 109204, 2023 | 46 | 2023 |
| Optimization of the operation and maintenance of renewable energy systems by deep reinforcement learning L Pinciroli, P Baraldi, G Ballabio, M Compare, E Zio Renewable Energy 183, 752-763, 2022 | 46 | 2022 |
| Deep reinforcement learning based on proximal policy optimization for the maintenance of a wind farm with multiple crews L Pinciroli, P Baraldi, G Ballabio, M Compare, E Zio Energies 14 (20), 6743, 2021 | 18 | 2021 |
| A general model for life-cycle cost analysis of Condition-Based Maintenance enabled by PHM capabilities M Compare, F Antonello, L Pinciroli, E Zio Reliability Engineering & System Safety 224, 108499, 2022 | 13 | 2022 |
| Deep reinforcement learning for optimizing operation and maintenance of energy systems equipped with phm capabilities L Pinciroli, P Baraldi, G Ballabio, M Compare, E Zio Proceedings of the 30th European Safety and Reliability Conference and the …, 2020 | 9 | 2020 |
| A semi-supervised method for the characterization of degradation of nuclear power plants steam generators L Pinciroli, P Baraldi, A Shokry, E Zio, R Seraoui, C Mai Progress in Nuclear Energy 131, 103580, 2021 | 6 | 2021 |
| Agent-based modeling and reinforcement learning for optimizing energy systems operation and maintenance: the Pathmind solution L Pinciroli, P Baraldi, M Compare, S Esmaeilzadeh, M Farhan, B Gohre, ... Proceedings of the 30th European safety and reliability conference and the …, 2020 | 5 | 2020 |
| Optimal prescriptive maintenance of nuclear power plants by deep reinforcement learning Z Hao, F Di Maio, L Pinciroli, E Zio Proceedings of the Proceedings of the 32nd European Safety and Reliability …, 2022 | 4 | 2022 |
| An unsupervised method for the reconstruction of maintenance intervention times L Pinciroli, P Baraldi, A Shokry, E Zio Proceedings of the 29th European Safety and Reliability Conference (ESREL …, 2019 | 2 | 2019 |
| Optimal operation and maintenance of energy storage systems in grid-connected microgrids by deep reinforcement learning L Pinciroli, P Baraldi, M Compare, E Zio Applied Energy 352, 121947, 2023 | 1 | 2023 |
| Gaussian Fields for Predicting Drift of Oil and Gas Pipes L Pinciroli, M Compare, E Zio, G Almeida, P Filgueiras Journal of Pipeline Systems Engineering and Practice 12 (4), 04021047, 2021 | 1 | 2021 |
| A deep reinforcement learning-based framework for optimal operation and maintenance of complex assets of the energy industry L PINCIROLI | | 2021 |
| A novel degradation state indicator for steam generators of nuclear power plants L Pinciroli, P Baraldi, A Shokry, E Zio Proceedings of the 30th European Safety and Reliability Conference and the …, 2020 | | 2020 |
| Development of unsupervised and semi-supervised clustering-based methods for degradation assessment of nuclear power plant steam generators L PINCIROLI Politecnico di Milano, 2016 | | 2016 |
Enrico ZioProfessor Mines Paris/PSL and Politecnico di. MilanoVerified email at mines-paristech.fr
