Simone Eiraudo

Titolo della tesi

A data-driven energy analysis framework to support energy efficiency of the Telecommunication sector

Tutori

• Andrea Lanzini

• 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
• 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
• 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