Dottorato in Energetica , 37o ciclo (2021-2024)
Dottorato concluso nel 2025
Tesi:
A data-driven energy analysis framework to support energy efficiency of the Telecommunication sector
Tutori:
Andrea LanziniPubblicazioni
Pubblicazioni durante il dottorato Vedi tutte le pubblicazioni su Porto@Iris
- Eiraudo, Simone; Gijón, Alfonso; Manjavacas, Antonio; Schiera, Daniele Salvatore; ... (2025)
Experimental Application of a Semi-Parametric Model for Interpretable and Accurate Regression Analysis of Building Energy Consumption. In: ENERGY AND BUILDINGS, vol. 349. ISSN 0378-7788
Contributo su Rivista - Gijón, Alfonso; Eiraudo, Simone; Manjavacas, Antonio; Schiera, Daniele Salvatore; ... (2025)
Integrating physics and data-driven approaches: An explainable and uncertainty-aware hybrid model for wind turbine power prediction. In: COMPUTER PHYSICS COMMUNICATIONS, vol. 316. ISSN 0010-4655
Contributo su Rivista - Mascali, Lorenzo; Schiera, DANIELE SALVATORE; Eiraudo, Simone; Barbierato, Luca; ... (2023)
A Machine Learning-based Anomaly Detection Framework for Building Electricity Consumption Data. In: SUSTAINABLE ENERGY, GRIDS AND NETWORKS, vol. 36. ISSN 2352-4677
Contributo su Rivista - Morra, Lia; Azzari, Alberto; Bergamasco, Letizia; Braga, Marco; Capogrosso, Luigi; ... (2023)
Designing Logic Tensor Networks for Visual Sudoku puzzle classification. In: 17th International Workshop on Neural-Symbolic Learning and Reasoning (NeSy 2023), Certosa di Pontignano, Siena (Italia), July 3-5, 2023, pp. 223-232. ISSN 1613-0073
Contributo in Atti di Convegno (Proceeding) - Eiraudo, Simone; Barbierato, Luca; Giannantonio, Roberta; Porta, Alessandro; Lanzini, ... (2023)
A Machine Learning Based Methodology for Load Profiles Clustering and Non-Residential Buildings Benchmarking. In: IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS, vol. 59, pp. 2963-2973. ISSN 0093-9994
Contributo su Rivista - Eiraudo, Simone; Schiera, Daniele Salvatore; Mascali, Lorenzo; Barbierato, Luca; ... (2023)
Neural network-based energy signatures for non-intrusive energy audit of buildings: Methodological approach and a real-world application. In: SUSTAINABLE ENERGY, GRIDS AND NETWORKS, vol. 36. ISSN 2352-4677
Contributo su Rivista - Eiraudo, Simone; Barbierato, Luca; Giannantonio, Roberta; Patti, Edoardo; Bottaccioli, ... (2022)
A Neural Network-based Methodology for Non-Intrusive Energy Audit of Telecom Sites. In: 5th International Conference on Smart Energy Systems and Technologies (SEST 2022), Eindhoven (The Netherlands), 5-7 September, 2022, pp. 1-6. ISBN: 978-1-6654-0557-7
Contributo in Atti di Convegno (Proceeding) - Mascali, Lorenzo; Eiraudo, Simone; Barbierato, Luca; Schiera, Daniele Salvatore; ... (2022)
Synthetic Ground Truth Generation of an Electricity Consumption Dataset. In: 5th International Conference on Smart Energy Systems and Technologies (SEST 2022), Eindhoven (The Netherlands), 5-7 September, 2022, pp. 1-6. ISBN: 978-1-6654-0557-7
Contributo in Atti di Convegno (Proceeding) - Eiraudo, Simone; Barbierato, Luca; Giannantonio, Roberta; Patti, Edoardo; Lanzini, ... (2022)
Non-Intrusive Load Disaggregation of Industrial Cooling Demand with LSTM Neural Network. In: 2022 IEEE International Conference on Environment and Electrical Engineering and 2022 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe), Prague, Czech Republic, 28 June 2022, 01 July 2022, pp. 1-6. ISBN: 978-1-6654-8537-1
Contributo in Atti di Convegno (Proceeding) - Eiraudo, Simone; Barbierato, Luca; Giannantonio, Roberta; Porta, Alessandro; Lanzini, ... (2021)
Load Profiles Clustering and Knowledge Extraction to Assess Actual Usage of Telecommunication Sites. In: 21st IEEE International Conference on Environmental and Electrical Engineering (EEEIC 2021), Bari, Italy, 7-10 September 2021, pp. 1-6
Contributo in Atti di Convegno (Proceeding)