| Model predictive control (MPC) for enhancing building and HVAC system energy efficiency: Problem formulation, applications and opportunities G Serale, M Fiorentini, A Capozzoli, D Bernardini, A Bemporad Energies 11 (3), 631, 2018 | 579 | 2018 |
| The early design stage of a building envelope: Multi-objective search through heating, cooling and lighting energy performance analysis TM Echenagucia, A Capozzoli, Y Cascone, M Sassone Applied energy 154, 577-591, 2015 | 345 | 2015 |
| Cooling systems in data centers: state of art and emerging technologies A Capozzoli, G Primiceri Energy Procedia 83, 484-493, 2015 | 246 | 2015 |
| Fault detection analysis using data mining techniques for a cluster of smart office buildings A Capozzoli, F Lauro, I Khan Expert Systems with Applications 42 (9), 4324-4338, 2015 | 209 | 2015 |
| USE of the ANOVA approach for sensitive building energy design HE Mechri, A Capozzoli, V Corrado Applied Energy 87 (10), 3073-3083, 2010 | 196 | 2010 |
| Transfer learning for smart buildings: A critical review of algorithms, applications, and future perspectives G Pinto, Z Wang, A Roy, T Hong, A Capozzoli Advances in Applied Energy 5, 100084, 2022 | 168 | 2022 |
| 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 | 163 | 2020 |
| A building thermal bridges sensitivity analysis A Capozzoli, A Gorrino, V Corrado Applied Energy 107, 229-243, 2013 | 142 | 2013 |
| Energy saving strategies in air-conditioning for museums F Ascione, L Bellia, A Capozzoli, F Minichiello Applied thermal engineering 29 (4), 676-686, 2009 | 140 | 2009 |
| 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 | 133 | 2018 |
| 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 | 131 | 2017 |
| Fault detection analysis of building energy consumption using data mining techniques I Khan, A Capozzoli, SP Corgnati, T Cerquitelli Energy Procedia 42, 557-566, 2013 | 119 | 2013 |
| Optimisation analysis of PCM-enhanced opaque building envelope components for the energy retrofitting of office buildings in Mediterranean climates Y Cascone, A Capozzoli, M Perino Applied energy 211, 929-953, 2018 | 107 | 2018 |
| Desiccant wheel regenerated by thermal energy from a microcogenerator: experimental assessment of the performances G Angrisani, A Capozzoli, F Minichiello, C Roselli, M Sasso Applied Energy 88 (4), 1354-1365, 2011 | 100 | 2011 |
| 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 | 80 | 2021 |
| Data-driven district energy management with surrogate models and deep reinforcement learning G Pinto, D Deltetto, A Capozzoli Applied Energy 304, 117642, 2021 | 76 | 2021 |
| A coupled numerical approach on museum air conditioning: Energy and fluid-dynamic analysis F Ascione, L Bellia, A Capozzoli Applied energy 103, 416-427, 2013 | 75 | 2013 |
| 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 | 68 | 2017 |
| Hybrid HVAC systems with chemical dehumidification for supermarket applications A Capozzoli, P Mazzei, F Minichiello, D Palma Applied Thermal Engineering 26 (8-9), 795-805, 2006 | 68 | 2006 |
| 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 | 65 | 2019 |
Marco Savino PiscitelliPhD, Assistant Professor, Politecnico di torino在 polito.it 的电子邮件经过验证
