Sfoglia per Autore EIRAUDO, SIMONE
Load Profiles Clustering and Knowledge Extraction to Assess Actual Usage of Telecommunication Sites
2021 Eiraudo, Simone; Barbierato, Luca; Giannantonio, Roberta; Porta, Alessandro; Lanzini, Andrea; Borchiellini, Romano; Macii, Enrico; Patti, Edoardo; Bottaccioli, Lorenzo
A Neural Network-based Methodology for Non-Intrusive Energy Audit of Telecom Sites
2022 Eiraudo, Simone; Barbierato, Luca; Giannantonio, Roberta; Patti, Edoardo; Bottaccioli, Lorenzo; Lanzini, Andrea
Non-Intrusive Load Disaggregation of Industrial Cooling Demand with LSTM Neural Network
2022 Eiraudo, Simone; Barbierato, Luca; Giannantonio, Roberta; Patti, Edoardo; Lanzini, Andrea; Bottaccioli, Lorenzo
Synthetic Ground Truth Generation of an Electricity Consumption Dataset
2022 Mascali, Lorenzo; Eiraudo, Simone; Barbierato, Luca; Schiera, Daniele Salvatore; Giannantonio, Roberta; Patti, Edoardo; Bottaccioli, Lorenzo; Lanzini, Andrea
A Machine Learning Based Methodology for Load Profiles Clustering and Non-Residential Buildings Benchmarking
2023 Eiraudo, Simone; Barbierato, Luca; Giannantonio, Roberta; Porta, Alessandro; Lanzini, Andrea; Borchiellini, Romano; Macii, Enrico; Patti, Edoardo; Bottaccioli, Lorenzo
A Machine Learning-based Anomaly Detection Framework for Building Electricity Consumption Data
2023 Mascali, Lorenzo; Schiera, DANIELE SALVATORE; Eiraudo, Simone; Barbierato, Luca; Giannantonio, Roberta; Patti, Edoardo; Bottaccioli, Lorenzo; Lanzini, Andrea
Designing Logic Tensor Networks for Visual Sudoku puzzle classification
2023 Morra, Lia; Azzari, Alberto; Bergamasco, Letizia; Braga, Marco; Capogrosso, Luigi; Delrio, Federico; DI GIACOMO, Giuseppe; Eiraudo, Simone; Ghione, Giorgia; Giudice, Rocco; Koudounas, Alkis; Piano, Luca; REGE CAMBRIN, Daniele; Risso, Matteo; Rondina, Marco; Russo, ALESSANDRO SEBASTIAN; Russo, Marco; Taioli, Francesco; Vaiani, Lorenzo; Vercellino, Chiara
Neural network-based energy signatures for non-intrusive energy audit of buildings: Methodological approach and a real-world application
2023 Eiraudo, Simone; Schiera, Daniele Salvatore; Mascali, Lorenzo; Barbierato, Luca; Giannantonio, Roberta; Patti, Edoardo; Bottaccioli, Lorenzo; Lanzini, Andrea
Citazione | Data di pubblicazione | Autori | File |
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Load Profiles Clustering and Knowledge Extraction to Assess Actual Usage of Telecommunication Sites / Eiraudo, Simone; Barbierato, Luca; Giannantonio, Roberta; Porta, Alessandro; Lanzini, Andrea; Borchiellini, Romano; Macii, Enrico; Patti, Edoardo; Bottaccioli, Lorenzo. - (2021), pp. 1-6. (Intervento presentato al convegno 21st IEEE International Conference on Environmental and Electrical Engineering (EEEIC 2021) tenutosi a Bari, Italy nel 7-10 September 2021) [10.1109/EEEIC/ICPSEurope51590.2021.9584633]. | 1-gen-2021 | Simone EiraudoLuca BarbieratoAndrea LanziniRomano BorchielliniEnrico MaciiEdoardo PattiLorenzo Bottaccioli + | EEEIC_2021___Load_Profiles_Clustering_and_Knowledge_Extraction_to_Assess_Actual_Usage_of_Telecommunication_Sites.pdf; Load_Profiles_Clustering_and_Knowledge_Extraction_to_Assess_Actual_Usage_of_Telecommunication_Sites.pdf |
A Neural Network-based Methodology for Non-Intrusive Energy Audit of Telecom Sites / Eiraudo, Simone; Barbierato, Luca; Giannantonio, Roberta; Patti, Edoardo; Bottaccioli, Lorenzo; Lanzini, Andrea. - (2022), pp. 1-6. (Intervento presentato al convegno 5th International Conference on Smart Energy Systems and Technologies (SEST 2022) tenutosi a Eindhoven (The Netherlands) nel 5-7 September, 2022) [10.1109/SEST53650.2022.9898459]. | 1-gen-2022 | Eiraudo, SimoneBarbierato, LucaGiannantonio, RobertaPatti, EdoardoBottaccioli, LorenzoLanzini, Andrea | SEST_2022___Energy_Signature_Simone_Eiraudo.pdf; A_Neural_Network-based_Methodology_for_Non-Intrusive_Energy_Audit_of_Telecom_Sites.pdf |
Non-Intrusive Load Disaggregation of Industrial Cooling Demand with LSTM Neural Network / Eiraudo, Simone; Barbierato, Luca; Giannantonio, Roberta; Patti, Edoardo; Lanzini, Andrea; Bottaccioli, Lorenzo. - (2022), pp. 1-6. (Intervento presentato al convegno 2022 IEEE International Conference on Environment and Electrical Engineering and 2022 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe) tenutosi a Prague, Czech Republic nel 28 June 2022, 01 July 2022) [10.1109/EEEIC/ICPSEurope54979.2022.9854581]. | 1-gen-2022 | Eiraudo, SimoneBarbierato, LucaGiannantonio, RobertaPatti, EdoardoLanzini, AndreaBottaccioli, Lorenzo | CR - EEEIC_2022___Allocation_of_consumption_quotas__Simone_Eiraudo_.pdf; Non-Intrusive_Load_Disaggregation_of_Industrial_Cooling_Demand_with_LSTM_Neural_Network.pdf |
Synthetic Ground Truth Generation of an Electricity Consumption Dataset / Mascali, Lorenzo; Eiraudo, Simone; Barbierato, Luca; Schiera, Daniele Salvatore; Giannantonio, Roberta; Patti, Edoardo; Bottaccioli, Lorenzo; Lanzini, Andrea. - (2022), pp. 1-6. (Intervento presentato al convegno 5th International Conference on Smart Energy Systems and Technologies (SEST 2022) tenutosi a Eindhoven (The Netherlands) nel 5-7 September, 2022) [10.1109/SEST53650.2022.9898444]. | 1-gen-2022 | Mascali, LorenzoEiraudo, SimoneBarbierato, LucaSchiera, Daniele SalvatoreGiannantonio, RobertaPatti, EdoardoBottaccioli, LorenzoLanzini, Andrea | SEST_2022___Lorenzo_Mascali_NO COPYRIGHT.pdf; Synthetic_Ground_Truth_Generation_of_an_Electricity_Consumption_Dataset.pdf |
A Machine Learning Based Methodology for Load Profiles Clustering and Non-Residential Buildings Benchmarking / Eiraudo, Simone; Barbierato, Luca; Giannantonio, Roberta; Porta, Alessandro; Lanzini, Andrea; Borchiellini, Romano; Macii, Enrico; Patti, Edoardo; Bottaccioli, Lorenzo. - In: IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS. - ISSN 0093-9994. - 59:3(2023), pp. 2963-2973. [10.1109/TIA.2023.3240669] | 1-gen-2023 | Simone EiraudoLuca BarbieratoRoberta GiannantonioAndrea LanziniRomano BorchielliniEnrico MaciiEdoardo PattiLorenzo Bottaccioli + | reference copy.pdf; A_Machine_Learning_Based_Methodology_for_Load_Profiles_Clustering_and_Non-Residential_Buildings_Benchmarking.pdf |
A Machine Learning-based Anomaly Detection Framework for Building Electricity Consumption Data / Mascali, Lorenzo; Schiera, DANIELE SALVATORE; Eiraudo, Simone; Barbierato, Luca; Giannantonio, Roberta; Patti, Edoardo; Bottaccioli, Lorenzo; Lanzini, Andrea. - In: SUSTAINABLE ENERGY, GRIDS AND NETWORKS. - ISSN 2352-4677. - 36:(2023). [10.1016/j.segan.2023.101194] | 1-gen-2023 | Lorenzo MascaliDaniele Salvatore SchieraSimone EiraudoLuca BarbieratoEdoardo PattiLorenzo BottaccioliAndrea Lanzini + | main.pdf; 1-s2.0-S2352467723002023-main.pdf |
Designing Logic Tensor Networks for Visual Sudoku puzzle classification / Morra, Lia; Azzari, Alberto; Bergamasco, Letizia; Braga, Marco; Capogrosso, Luigi; Delrio, Federico; DI GIACOMO, Giuseppe; Eiraudo, Simone; Ghione, Giorgia; Giudice, Rocco; Koudounas, Alkis; Piano, Luca; REGE CAMBRIN, Daniele; Risso, Matteo; Rondina, Marco; Russo, ALESSANDRO SEBASTIAN; Russo, Marco; Taioli, Francesco; Vaiani, Lorenzo; Vercellino, Chiara. - ELETTRONICO. - 3432:(2023), pp. 223-232. (Intervento presentato al convegno 17th International Workshop on Neural-Symbolic Learning and Reasoning (NeSy 2023) tenutosi a Certosa di Pontignano, Siena (Italia) nel July 3-5, 2023). | 1-gen-2023 | Lia MorraAlberto AzzariLetizia BergamascoMarco BragaLuigi CapogrossoFederico DelrioGiuseppe Di GiacomoSimone EiraudoGiorgia GhioneRocco GiudiceAlkis KoudounasLuca PianoDaniele Rege CambrinMatteo RissoMarco RondinaAlessandro RussoMarco RussoFrancesco TaioliLorenzo VaianiChiara Vercellino | NeSy_workshop_Visual_Sudoku.pdf; paper19.pdf |
Neural network-based energy signatures for non-intrusive energy audit of buildings: Methodological approach and a real-world application / Eiraudo, Simone; Schiera, Daniele Salvatore; Mascali, Lorenzo; Barbierato, Luca; Giannantonio, Roberta; Patti, Edoardo; Bottaccioli, Lorenzo; Lanzini, Andrea. - In: SUSTAINABLE ENERGY, GRIDS AND NETWORKS. - ISSN 2352-4677. - 36:(2023). [10.1016/j.segan.2023.101203] | 1-gen-2023 | Eiraudo, SimoneSchiera, Daniele SalvatoreMascali, LorenzoBarbierato, LucaPatti, EdoardoBottaccioli, LorenzoLanzini, Andrea + | 2023_SEGAN___Neural_Network_based_Regression_Models_for_Non_Intrusive_Energy_Audit_of_Buildings__Methodological_Approach_and_a_Real_World_Application.pdf; 1-s2.0-S2352467723002114-main.pdf |
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