Marco Savino Piscitelli
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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
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
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
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
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
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
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
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
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
Coordinated energy management for a cluster of buildings through deep reinforcement learning
G Pinto, MS Piscitelli, JR Vzquez-Canteli, Z Nagy, A Capozzoli
Energy 229, 120725, 2021
Enhancing energy efficiency in buildings through innovative data analytics technologies
A Capozzoli, T Cerquitelli, M Piscitelli
Next Generation Platforms for Intelligent Data Collection; Dobre, C., Xhafa…, 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
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
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
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
Attivit di monitoraggio energetico e ambientale, diagnostica ed Energy Engagement degli utenti degli use case
A Capozzoli, SP Corgnati, MV Di Nicoli, V Fabi, MS Piscitelli, ...
Report Ricerca di Sistema Elettrico RdS/PAR2016/008, 2017
The Impact of Stakeholder Preferences in Multicriteria Evaluation for the Retrofitting of Office Buildings in Italy
G Pinto, A Capozzoli, MS Piscitelli, L Savoldi
Sustainability in Energy and Buildings, 581-591, 2020
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