Marco Savino Piscitelli
Marco Savino Piscitelli
PhD, Assistant Professor, Politecnico di torino
Bestätigte E-Mail-Adresse bei - Startseite
Zitiert von
Zitiert von
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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