| Deep reinforcement learning to optimise indoor temperature control and heating energy consumption in buildings S Brandi, MS Piscitelli, M Martellacci, A Capozzoli Energy and Buildings 224, 110225, 2020 | 150 | 2020 |
| Automated load pattern learning and anomaly detection for enhancing energy management in smart buildings A Capozzoli, MS Piscitelli, S Brandi, D Grassi, G Chicco Energy 157, 336-352, 2018 | 127 | 2018 |
| Mining typical load profiles in buildings to support energy management in the smart city context A Capozzoli, MS Piscitelli, S Brandi Energy Procedia 134, 865-874, 2017 | 67 | 2017 |
| Recognition and classification of typical load profiles in buildings with non-intrusive learning approach MS Piscitelli, S Brandi, A Capozzoli Applied Energy 255, 113727, 2019 | 61 | 2019 |
| A data analytics-based tool for the detection and diagnosis of anomalous daily energy patterns in buildings MS Piscitelli, S Brandi, A Capozzoli, F Xiao Building Simulation 14, 131-147, 2021 | 50 | 2021 |
| Comparison of online and offline deep reinforcement learning with model predictive control for thermal energy management S Brandi, M Fiorentini, A Capozzoli Automation in Construction 135, 104128, 2022 | 45 | 2022 |
| Online implementation of a soft actor-critic agent to enhance indoor temperature control and energy efficiency in buildings D Coraci, S Brandi, MS Piscitelli, A Capozzoli Energies 14 (4), 997, 2021 | 34 | 2021 |
| Online transfer learning strategy for enhancing the scalability and deployment of deep reinforcement learning control in smart buildings D Coraci, S Brandi, T Hong, A Capozzoli Applied Energy 333, 120598, 2023 | 27 | 2023 |
| Ten questions concerning reinforcement learning for building energy management Z Nagy, G Henze, S Dey, J Arroyo, L Helsen, X Zhang, B Chen, ... Building and Environment 241, 110435, 2023 | 25 | 2023 |
| A predictive and adaptive control strategy to optimize the management of integrated energy systems in buildings S Brandi, A Gallo, A Capozzoli Energy Reports 8, 1550-1567, 2022 | 23 | 2022 |
| Advanced control strategies for the modulation of solar radiation in buildings: MPC-enhanced rule-based control MS Piscitelli, S Brandi, G Gennaro, A Capozzoli, F Favoino, V Serra Building Simulation, 869-876, 2019 | 14 | 2019 |
| Effective pre-training of a deep reinforcement learning agent by means of long short-term memory models for thermal energy management in buildings D Coraci, S Brandi, A Capozzoli Energy Conversion and Management 291, 117303, 2023 | 7 | 2023 |
| Energy management of a residential heating system through deep reinforcement learning S Brandi, D Coraci, D Borello, A Capozzoli Sustainability in Energy and Buildings 2021, 329-339, 2022 | 3 | 2022 |
| An innovative heterogeneous transfer learning framework to enhance the scalability of deep reinforcement learning controllers in buildings with integrated energy systems D Coraci, S Brandi, T Hong, A Capozzoli Building Simulation, 1-32, 2024 | | 2024 |
| Implementation of an adaptive control strategy to regulate heating systems in residential building D Borello Politecnico di Torino, 2020 | | 2020 |
| Adaptive Control Strategies for enhancing energy efficiency and comfort in buildings D Coraci Politecnico di Torino, 2020 | | 2020 |
| Caratterizzazione della prestazione e della gestione energetica di edifici residenziali pilota A Capozzoli, SP Corgnati, S Brandi, DM Mazzarelli, G Vergerio, S Viazzo | | 2018 |
| Recognition and classification of typical energy consumption profiles in buildings with non-intrusive learning approach MS Piscitellia, S Brandi, A Capozzolia | | |
Alfonso CapozzoliFull Professor, Politecnico di Torino DENERGVerified email at polito.it
