EIRAUDO, SIMONE

EIRAUDO, SIMONE  

Dipartimento Energia  

070893  

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Citazione Data di pubblicazione Autori File
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.pdfA_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.pdf1-s2.0-S2352467723002023-main.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.pdf1-s2.0-S2352467723002114-main.pdf