Advanced machine learning for factory optimization

• Ghione, G.; Randazzo, V.; Cirrincione, G.; Valavanis, K. P.; Pasero, E.; Badami, M. (2026)
  A Framework for Safe Reinforcement Learning in Battery Storage Scheduling Under Partial Observability. In: IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS. ISSN 0093-9994
  Contributo su Rivista
• Ghione, Giorgia; Mucha, Jan; Randazzo, Vincenzo; Di Nezio, Giulia; Di Benedetto, Marco; ... (2026)
  Passive Parameters Identification of a Three-Phase AC–DC Converter via a GRU Network and Derivative Approximations. In: Neural Networks: Overview of Current Theories and Applications / S.N., S.L., Springer Nature, pp. 299-311. ISBN: 9789819540716
  Contributo in Volume
• Ghione, Giorgia (2026)
  Deep Learning and Reinforcement Learning for Industrial Microgrid Energy Management. relatore: BARDELLA, PAOLO; BADAMI, MARCO; , 38. XXXVIII Ciclo, P.: 227
  Doctoral Thesis
• Nicola, Alessandro; Ghione, Giorgia; Randazzo, Vincenzo; Franzitta, Vincenzo; Badami, ... (2026)
  Interpretable Short‐Term Electric Load Forecasting. In: ADVANCED INTELLIGENT SYSTEMS. ISSN 2640-4567
  Contributo su Rivista
• Di Benedetto, Marco; Randazzo, Vincenzo; Lidozzi, Alessandro; Accetta, Angelo; Ghione, ... (2026)
  Enhanced Neural Real-Time Digital Twin for Electrical Drives. In: APPLIED SCIENCES, vol. 16. ISSN 2076-3417
  Contributo su Rivista
• Ghione, G.; Randazzo, V.; Pasero, E.; Badami, M. (2025)
  Comparison of LSTM-Based Models for the 6-Hour-Ahead and Day-Ahead Forecasting of Photovoltaic Power Generation. In: Smart Innovation, Systems and Technologies / Esposito A., Faundez-Zanuy M., Morabito F. C., Pasero E., Cordasco G., Singapore, Springer Nature, pp. 45-54. ISBN: 9789819609932
  Contributo in Volume
• Ghione, Giorgia; Randazzo, Vincenzo; Pasero, Eros; Badami, Marco (2025)
  Optimal Cogeneration Scheduling: A Comparison of Genetic and POMDP-Based Deep Reinforcement Learning Approaches. In: IEEE ACCESS, vol. 13, pp. 128562-128581. ISSN 2169-3536
  Contributo su Rivista
• Ghione, Giorgia; Randazzo, Vincenzo; Badami, Marco; Pasero, Eros (2024)
  Optimizing Battery Storage Systems in Energy Microgrids: A Reinforcement Learning Approach Comparing Multiple Reward Functions. In: 8th IEEE International Forum on Research and Technologies for Society and Industry Innovation, RTSI 2024, Politecnico di Milano - Polo Territoriale di Lecco, ita, 2024, pp. 642-646
  Contributo in Atti di Convegno (Proceeding)
• Ghione, G.; Judge, M. A.; Badami, M.; Pasero, E.; Franzitta, V.; Cirrincione, G. (2024)
  A Comparison of Univariate Methods for Day-Ahead Short-Term Load Forecasting. In: 22nd IEEE Mediterranean Electrotechnical Conference, MELECON 2024, Porto (Portugal), 25-27 June 2024, pp. 662-667. ISSN 2158-8481. ISBN: 979-8-3503-8702-5
  Contributo in Atti di Convegno (Proceeding)
• Di Nezio, G.; Di Benedetto, M.; Ghione, G.; Randazzo, V.; Solero, L. (2024)
  Digital Twin Based Identification of Passive Parameters of Three-phase Boost Rectifier using a GRU Neural Network. In: 2024 IEEE Energy Conversion Congress and Exposition, ECCE 2024, Phoenix (USA), 20-24 October 2024, pp. 4431-4436. ISBN: 979-8-3503-7606-7
  Contributo in Atti di Convegno (Proceeding)
• 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)
• Ghione, Giorgia; Randazzo, Vincenzo; Recchia, Alessandra; Pasero, Eros; Badami, Marco (2023)
  Comparison of Genetic and Reinforcement Learning Algorithms for Energy Cogeneration Optimization. In: 2023 8th International Conference on Smart and Sustainable Technologies (SpliTech), Split/Bol (Croatia), 20-23 June 2023, pp. 1-7. ISBN: 978-953-290-128-3
  Contributo in Atti di Convegno (Proceeding)