PISCITELLI, MARCO SAVINO

PISCITELLI, MARCO SAVINO  

Dipartimento Energia  

038021  

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Risultati 1 - 20 di 32 (tempo di esecuzione: 0.026 secondi).
Citazione Data di pubblicazione Autori File
A holistic time series-based energy benchmarking framework for applications in large stocks of buildings / Piscitelli, Marco Savino; Giudice, Rocco; Capozzoli, Alfonso. - In: APPLIED ENERGY. - ISSN 0306-2619. - ELETTRONICO. - 357:(2024). [10.1016/j.apenergy.2023.122550] 1-gen-2024 Piscitelli, Marco SavinoGiudice, RoccoCapozzoli, Alfonso -
Building thermal dynamics modeling with deep transfer learning using a large residential smart thermostat dataset / Li, H.; Pinto, G.; Piscitelli, M. S.; Capozzoli, A.; Hong, T.. - In: ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE. - ISSN 0952-1976. - ELETTRONICO. - 130:(2024). [10.1016/j.engappai.2023.107701] 1-gen-2024 Pinto G.Piscitelli M. S.Capozzoli A. + Building thermal dynamics modeling with deep transfer learning using a.pdf
A review of data-driven fault detection and diagnostics for building HVAC systems / Chen, Z.; O'Neill, Z.; Wen, J.; Pradhan, O.; Yang, T.; Lu, X.; Lin, G.; Miyata, S.; Lee, S.; Shen, C.; Chiosa, R.; Piscitelli, M. S.; Capozzoli, A.; Hengel, F.; Kuhrer, A.; Pritoni, M.; Liu, W.; Clauss, J.; Chen, Y.; Herr, T.. - In: APPLIED ENERGY. - ISSN 0306-2619. - ELETTRONICO. - 339:(2023), p. 121030. [10.1016/j.apenergy.2023.121030] 1-gen-2023 Chiosa R.Piscitelli M. S.Capozzoli A. + 1-s2.0-S030626192300394X-main.pdfA_review_of_data_driven_FDD_for_building_systems-accepted manuscript.pdf
Data-driven fault detection and diagnosis: research and applications for HVAC systems in buildings / Rosato, A.; Piscitelli, M. S.; Capozzoli, A.. - In: ENERGIES. - ISSN 1996-1073. - ELETTRONICO. - 16:2(2023), p. 854. [10.3390/en16020854] 1-gen-2023 Piscitelli M. S.Capozzoli A. + Data driven Fault Detection and Diagnosis Research and Applications for HVAC Systems in Buildings.pdf
Leveraging graph convolutional networks for semi-supervised fault diagnosis of HVAC systems in data-scarce contexts / Fan, C.; Lin, Y.; Piscitelli, M. S.; Chiosa, R.; Wang, H.; Capozzoli, A.; Ma, Y.. - In: BUILDING SIMULATION. - ISSN 1996-3599. - (2023). [10.1007/s12273-023-1041-1] 1-gen-2023 Piscitelli M. S.Chiosa R.Capozzoli A. + -
RECsim—Virtual Testbed for Control Strategies Implementation in Renewable Energy Communities / Gallo, A.; Piscitelli, M. S.; Fenili, L.; Capozzoli, A.. - 336 SIST:(2023), pp. 313-323. (Intervento presentato al convegno SEB 2022: Sustainability in energy and buildings 2022 tenutosi a Split, Croatia nel 14-16 September) [10.1007/978-981-19-8769-4_30]. 1-gen-2023 Gallo A.Piscitelli M. S.Capozzoli A. + seb22f-047.pdf
Towards automated fault detection and diagnosis in district heating customers: generation and analysis of a labeled dataset with ground truth / Leiria, D.; Andersen, K. H.; Melgaard, S. P.; Johra, H.; Marszal-Pomianowska, A.; Piscitelli, M. S.; Capozzoli, A.; Pomianowski, M. Z.. - In: BUILDING SIMULATION CONFERENCE PROCEEDINGS. - ISSN 2522-2708. - 18:(2023), pp. 2972-2979. (Intervento presentato al convegno Building Simulation 2023 tenutosi a Shanghai, China nel September 4-6, 2023) [10.26868/25222708.2023.1576]. 1-gen-2023 Piscitelli M. S.Capozzoli A. + -
Bridging the gap between complexity and interpretability of a data analytics-based process for benchmarking energy performance of buildings / Galli, A.; Piscitelli, M. S.; Moscato, V.; Capozzoli, A.. - In: EXPERT SYSTEMS WITH APPLICATIONS. - ISSN 0957-4174. - ELETTRONICO. - 206:(2022), p. 117649. [10.1016/j.eswa.2022.117649] 1-gen-2022 Piscitelli M. S.Capozzoli A. + 1-s2.0-S0957417422009526-main.pdfpostprint.pdf
Data-centric or algorithm-centric: Exploiting the performance of transfer learning for improving building energy predictions in data-scarce context / Fan, C.; Lei, Y.; Sun, Y.; Piscitelli, M. S.; Chiosa, R.; Capozzoli, A.. - In: ENERGY. - ISSN 0360-5442. - ELETTRONICO. - 240:(2022), p. 122775. [10.1016/j.energy.2021.122775] 1-gen-2022 Piscitelli M. S.Chiosa R.Capozzoli A. + 1-s2.0-S0360544221030243-main.pdf
Sharing is caring: An extensive analysis of parameter-based transfer learning for the prediction of building thermal dynamics / Pinto, Giuseppe; Messina, Riccardo; Li, Han; Hong, Tianzhen; Piscitelli, Marco Savino; Capozzoli, Alfonso. - In: ENERGY AND BUILDINGS. - ISSN 0378-7788. - ELETTRONICO. - 276:(2022), p. 112530. [10.1016/j.enbuild.2022.112530] 1-gen-2022 Pinto, GiuseppeMessina, RiccardoPiscitelli, Marco SavinoCapozzoli, Alfonso + Sharing is caring.pdfPostprint author - Sharing is caring.pdf
Towards a self-tuned data analytics-based process for an automatic context-aware detection and diagnosis of anomalies in building energy consumption timeseries / Chiosa, R.; Piscitelli, M. S.; Fan, C.; Capozzoli, A.. - In: ENERGY AND BUILDINGS. - ISSN 0378-7788. - 270:(2022), p. 112302. [10.1016/j.enbuild.2022.112302] 1-gen-2022 Chiosa R.Piscitelli M. S.Capozzoli A. + manuscript post-print.pdf1-s2.0-S037877882200473X-main.pdf
A data analytics-based energy information system (EIS) tool to perform meter-level anomaly detection and diagnosis in buildings / Chiosa, R.; Piscitelli, M. S.; Capozzoli, A.. - In: ENERGIES. - ISSN 1996-1073. - ELETTRONICO. - 14:1(2021), p. 237. [10.3390/en14010237] 1-gen-2021 Chiosa R.Piscitelli M. S.Capozzoli A. energies-14-00237-v2.pdf
Coordinated energy management for a cluster of buildings through deep reinforcement learning / Pinto, G.; Piscitelli, M. S.; Vazquez-Canteli, J. R.; Nagy, Z.; Capozzoli, A.. - In: ENERGY. - ISSN 0360-5442. - ELETTRONICO. - 229:(2021), p. 120725. [10.1016/j.energy.2021.120725] 1-gen-2021 Pinto G.Piscitelli M. S.Capozzoli A. + 1-s2.0-S0360544221009737-main(1).pdfAccepted_manuscript_Energy_2021.pdf
Exploring the potentialities of deep reinforcement learning for incentive-based demand response in a cluster of small commercial buildings / Deltetto, D.; Coraci, D.; Pinto, G.; Piscitelli, M. S.; Capozzoli, A.. - In: ENERGIES. - ISSN 1996-1073. - ELETTRONICO. - 14:10(2021), p. 2933. [10.3390/en14102933] 1-gen-2021 Deltetto D.Coraci D.Pinto G.Piscitelli M. S.Capozzoli A. energies-14-02933-v2 (1).pdf
Online implementation of a soft actor-critic agent to enhance indoor temperature control and energy efficiency in buildings / Coraci, D.; Brandi, S.; Piscitelli, M. S.; Capozzoli, A.. - In: ENERGIES. - ISSN 1996-1073. - 14:4(2021), p. 997. [10.3390/en14040997] 1-gen-2021 Coraci D.Brandi S.Piscitelli M. S.Capozzoli A. energies-14-00997-v2.pdf
A data analytics-based tool for the detection and diagnosis of anomalous daily energy patterns in buildings / Piscitelli, M. S.; Brandi, S.; Capozzoli, A.; Xiao, F.. - In: BUILDING SIMULATION. - ISSN 1996-3599. - (2020). [10.1007/s12273-020-0650-1] 1-gen-2020 Piscitelli M. S.Brandi S.Capozzoli A. + Piscitelli 2020.pdfA data analytics based tool.pdf
Advanced Control Strategies For The Modulation of Solar Radiation In Buildings: MPC-enhanced Rule-based Control / Piscitelli, MARCO SAVINO; Brandi, Silvio; Gennaro, Giovanni; Capozzoli, Alfonso; Favoino, Fabio; Serra, Valentina. - STAMPA. - 16:(2020). (Intervento presentato al convegno International Building Performance Simulation Conference tenutosi a Roma nel September 2019). 1-gen-2020 Marco Savino PiscitelliSilvio BrandiGiovanni GennaroAlfonso CapozzoliFabio FavoinoValentina Serra -
Deep reinforcement learning to optimise indoor temperature control and heating energy consumption in buildings / Brandi, S.; Piscitelli, M. S.; Martellacci, M.; Capozzoli, A.. - In: ENERGY AND BUILDINGS. - ISSN 0378-7788. - 224:(2020), p. 110225. [10.1016/j.enbuild.2020.110225] 1-gen-2020 Brandi S.Piscitelli M. S.Capozzoli A. + brandi 2020.pdfdeep reinforcement learning.pdf
Enhancing energy management in buildings through data analytics technologies / Piscitelli, MARCO SAVINO. - (2020 Jul 08), pp. 1-219. 8-lug-2020 PISCITELLI, MARCO SAVINO PhD_thesis_Piscitelli.pdfAbstract_PhD_thesis_Piscitelli.pdf
Enhancing operational performance of AHUs through an advanced fault detection and diagnosis process based on temporal association and decision rules / Piscitelli, M. S.; Mazzarelli, D. M.; Capozzoli, A.. - In: ENERGY AND BUILDINGS. - ISSN 0378-7788. - STAMPA. - 226:(2020), p. 110369. [10.1016/j.enbuild.2020.110369] 1-gen-2020 Piscitelli M. S.Capozzoli A. + Manuscript_final_without changes marked (post print).pdf1-s2.0-S0378778819334619-main.pdf