| Data analytics for occupancy pattern learning to reduce the energy consumption of HVAC systems in office buildings A Capozzoli, MS Piscitelli, A Gorrino, I Ballarini, V Corrado Sustainable cities and society 35, 191-208, 2017 | 114 | 2017 |
| 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 | 108 | 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 | 107 | 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 | 62 | 2017 |
| Coordinated energy management for a cluster of buildings through deep reinforcement learning G Pinto, MS Piscitelli, JR Vázquez-Canteli, Z Nagy, A Capozzoli Energy 229, 120725, 2021 | 51 | 2021 |
| 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 | 48 | 2019 |
| Enhancing operational performance of AHUs through an advanced fault detection and diagnosis process based on temporal association and decision rules MS Piscitelli, DM Mazzarelli, A Capozzoli Energy and Buildings 226, 110369, 2020 | 40 | 2020 |
| A novel methodology for energy performance benchmarking of buildings by means of Linear Mixed Effect Model: The case of space and DHW heating of out-patient Healthcare Centres A Capozzoli, MS Piscitelli, F Neri, D Grassi, G Serale Applied energy 171, 592-607, 2016 | 39 | 2016 |
| 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, 1-17, 2020 | 33 | 2020 |
| Enhancing energy efficiency in buildings through innovative data analytics technologies A Capozzoli, T Cerquitelli, MS Piscitelli Pervasive Computing; Elsevier: Amsterdam, The Netherlands, 353-389, 2016 | 28 | 2016 |
| Discovering knowledge from a residential building stock through data mining analysis for engineering sustainability A Capozzoli, D Grassi, MS Piscitelli, G Serale Energy Procedia 83, 370-379, 2015 | 24 | 2015 |
| 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 | 23 | 2021 |
| Towards an automated, fast and interpretable estimation model of heating energy demand: A data-driven approach exploiting building energy certificates A Attanasio, M Savino Piscitelli, S Chiusano, A Capozzoli, T Cerquitelli Energies 12 (7), 1273, 2019 | 23 | 2019 |
| A data analytics-based energy information system (eis) tool to perform meter-level anomaly detection and diagnosis in buildings R Chiosa, MS Piscitelli, A Capozzoli Energies 14 (1), 237, 2021 | 21 | 2021 |
| Exploring energy certificates of buildings through unsupervised data mining techniques E Di Corso, T Cerquitelli, MS Piscitelli, A Capozzoli 2017 IEEE International Conference on Internet of Things (iThings) and IEEE …, 2017 | 21 | 2017 |
| Data mining for energy analysis of a large data set of flats A Capozzoli, G Serale, MS Piscitelli, D Grassi Proceedings of the Institution of Civil Engineers-Engineering Sustainability …, 2016 | 20 | 2016 |
| Exploring the potentialities of deep reinforcement learning for incentive-based demand response in a cluster of small commercial buildings D Deltetto, D Coraci, G Pinto, MS Piscitelli, A Capozzoli Energies 14 (10), 2933, 2021 | 14 | 2021 |
| Data-centric or algorithm-centric: Exploiting the performance of transfer learning for improving building energy predictions in data-scarce context C Fan, Y Lei, Y Sun, MS Piscitelli, R Chiosa, A Capozzoli Energy 240, 122775, 2022 | 13 | 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 2019, 2019 | 9 | 2019 |
| Sharing is caring: An extensive analysis of parameter-based transfer learning for the prediction of building thermal dynamics G Pinto, R Messina, H Li, T Hong, MS Piscitelli, A Capozzoli Energy and Buildings 276, 112530, 2022 | 6 | 2022 |
Alfonso CapozzoliAssociate Professor, Politecnico di Torino DENERGVerified email at polito.it
