Publications

International Conferences

[C1] Davide Salaorni, Federico Bianchi, Francesco Trovò and Marcello Restelli. A Reinforcement Learning Approach for Optimal Control in Microgrids. Proceedings of the IEEE International Joint Conference on Neural Network (IJCNN), Rome, Italy. 2025.
[Link - To Appear] [Paper] [Slides]

Journals

[J1] Davide Salaorni, Federico Bianchi, Silvia Colnago, Andrea Barisione, Francesco Trovò and Marcello Restelli. A novel digital twin for battery energy storage systems in micro-grids. Journal of Energy Storage, Elsevier. 2025.
[Link] [Paper - To Appear]

[J2] Andrés Murillo, Riccardo Taormina, Nils Ole Tippenhauer, Davide Salaorni, Robert van Dijk, Luc Jonker, Simcha Vos, Maarten Weyns, Stefano Galelli. High-fidelity cyber and physical simulation of water distribution systems. I: Models and Data. Journal of Water Resources Planning and Management, ASCE. 2025.
[Link] [Paper - To Appear]

Workshops

[W1] Davide Salaorni, Vincenzo De Paola, Samuele Delpero, Giovanni Dispoto, Paolo Bonetti, Alessio Russo, Giuseppe Calcagno, Francesco Trovò, Matteo Papini, Alberto Maria Metelli, Marco Mussi and Marcello Restelli. Gym4ReaL: A Benchmark Suite for Evaluating Reinforcement Learning in Realistic Domains. European Workshop on Reinforcement Learning (EWRL), Tubingen, Germany. 2025.
[Link] [Paper] [Poster]

[W2] Samuele Delpero, Davide Salaorni and Marcello Restelli. Optimal Energy Management of Renewable Energy Communities: a Multi-Agent Reinforcement Learning Approach. Machine Learning for Sustainable Power Systems (ML4SPS), ECML-PKDD, Porto, Portugal. 2025.
[Paper - To Appear] [Slides - To Appear]

[W3] Davide Salaorni, Federico Bianchi, Francesco Trovò and Marcello Restelli. Leveraging Reinforcement Learning for Micro-grid Optimal Control. Deep Learning Techniques for Observable Smart Grid and Sustainable Energy Systems (DLT-4-OSGE), IJCNN, Rome, Italy. 2025.
[Link - To Appear] [Paper - To Appear] [Slides - To Appear]

Preprints

[P1] Davide Salaorni, Vincenzo De Paola, Samuele Delpero, Giovanni Dispoto, Paolo Bonetti, Alessio Russo, Giuseppe Calcagno, Francesco Trovò, Matteo Papini, Alberto Maria Metelli, Marco Mussi and Marcello Restelli. Gym4ReaL: A Suite for Benchmarking Real-World Reinforcement Learning. arXiv preprint, arXiv:2507.00257. 2025.
[Paper] [arXiv]

Education

Ph.D. in Information Technology - Politecnico di Milano, Milan, Italy (Nov 2022 - now)
Focus on Reinforcement Learning.
Supervisors: Prof. Marcello Restelli and Prof. Francesco Trovò
[Link - To Appear] [Thesis - To Appear] [Slides - To Appear]

M.Sc. in Computer Science and Engineering - Politecnico di Milano, Milan, Italy (Mar 2019 - Dec 2021)
Main focus: Artificial Intelligence and Machine Learning
Relevant coursework: Machine Learning, Artificial Intelligence, Game Theory, Recommender Systems, Foundations of Operational Research, Software Engineering II, Principles of Programming Languages

B.Sc. in Engineering of Computing Systems - Politecnico di Milano, Milan, Italy (Sep 2015 - Mar 2019)
Relevant coursework: Software Engineering, Theoretical Computer Science, Communication Networks and Internet, Computer Architecture and Operating Systems, Linear Algebra and Geometry, Logics and Algebra, Statistics and Probability, Physics

High School Scientific Diploma - Liceo Giovanni Cotta, Legnago, Verona, Italy (Sep 2010 - Jul 2015)
Main Focus: Scientific subjects with a focus on mathematics and physics

Experience

Ph.D. Researcher - Ricerca sul Sistema Energetico (RSE S.p.A.), Milan, Italy (Nov 2022 - Nov 2025)
Goal: Development of Digital Twins for battery energy storage systems and integration with Machine Learning techniques for real-time monitoring and optimal energy management in micro-grids and renewable energy communities.

Junior Performance Consultant - Moviri S.p.A., Milan, Italy (Oct 2021 - Oct 2022)
Goal: As member of the Monitoring and Observability team, I was responsible for the Dynatrace platform management and customization for enterprise clients.

Contacts

Email
davide DOT salaorni AT polimi DOT it
Personal Email
davidesalaorni AT gmail DOT com

Office

Office 21, First Floor of Building 21
Dipartimento di Elettronica, Informazione e Bioingegneria
Politecnico di Milano
Via Ponzio 34/5, Milan, 20133, Italy