Peer-reviewed conference papers and book chapters from my PhD at Sapienza University of Rome, supervised by Prof. Antonello Rizzi. My MSc thesis is listed at the end. DOI links go to the publisher’s page.
2026
- Game-Theoretic Fair Allocation in MPC-Based Management of Renewable Energy CommunitiesAccepted for publication
- Forward–Forward Learning for Imbalanced Tabular Predictive Maintenance on a Real-World Smart-Grid Fault DatasetManuscript
- Intelligent Energy Management for Renewable Energy Communities and Microgrids: Models, Algorithms, and Practical ConstraintsStochastic Planning and Modeling for Energy Systems, Elsevier, pp. 491–532
2025
- Degradation-Aware Energy Management in Residential Microgrids: A Reinforcement Learning Framework17th International Joint Conference on Computational Intelligence (IJCCI 2025), Springer CCIS, pp. 538–557
- Multi-Objective Battery Dispatching using an Enhanced SAC AlgorithmInternational Joint Conference on Neural Networks (IJCNN 2025), IEEE, pp. 1–8
- Seasonality Effect Exploration for Energy Demand Forecasting in Smart GridsIJCCI 2023 extended version, Computational Intelligence, Studies in Computational Intelligence, Springer, pp. 211–223
2024
- An Extended Battery Equivalent Circuit Model for an Energy Community Real Time EMSInternational Joint Conference on Neural Networks (IJCNN 2024), IEEE, pp. 1–9
2023
- A Comparison Between Seasonal and Non-Seasonal Forecasting Techniques for Energy Demand Time Series in Smart Grids15th International Joint Conference on Computational Intelligence (IJCCI 2023), SciTePress, pp. 459–467
2022
- A Deep Learning Architecture for Enhanced Depth Estimation on an Unrectified Stereo 360° DatasetMSc thesis, Sapienza University of Rome (with EPFL VITA Lab)