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Marco Savino Piscitelli
Marco Savino Piscitelli
PhD, Assistant Professor, Politecnico di torino
Geverifieerd e-mailadres voor polito.it - Homepage
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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
2092020
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
1492018
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
1452017
A review of data-driven fault detection and diagnostics for building HVAC systems
Z Chen, Z O’Neill, J Wen, O Pradhan, T Yang, X Lu, G Lin, S Miyata, S Lee, ...
Applied Energy 339, 121030, 2023
1332023
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
972021
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
732017
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
702019
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
662020
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
632020
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
532016
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
482021
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
452022
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
392019
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
382021
Enhancing energy efficiency in buildings through innovative data analytics technologies
A Capozzoli, T Cerquitelli, MS Piscitelli
Pervasive Computing Next Generation Platforms for Intelligent Data …, 2016
382016
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
332021
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
302022
Bridging the gap between complexity and interpretability of a data analytics-based process for benchmarking energy performance of buildings
A Galli, MS Piscitelli, V Moscato, A Capozzoli
Expert Systems with Applications 206, 117649, 2022
272022
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
262015
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
252016
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Artikelen 1–20