Chiara Bordin
Orcid: 0000-0002-9869-3276
According to our database1,
Chiara Bordin authored at least 13 papers
between 2016 and 2026.
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Bibliography
2026
Operational early-warning forecasts of aquaculture water quality: Interpretable ML for TDS under walk-forward validation.
Ecol. Informatics, 2026
2025
Low-Model-Dependency Adaptive Droop Control for Islanded DCMGs Using EKF Estimation and Fuzzy Logic Damping.
Proceedings of the 51st Annual Conference of the IEEE Industrial Electronics Society, 2025
Decentralized Reinforcement Learning for Adaptive Power Sharing in Hybrid DC Microgrids.
Proceedings of the Energy Informatics - First Nordic Energy Informatics Academy Conference, 2025
From Models to Meaning - Understanding the Human Dimensions of Optimization in Energy System Modelling Through Autoethnography.
Proceedings of the Energy Informatics - 5th Energy Informatics Academy Conference, 2025
2024
AC Microgrid Modeling and Adaptive Control Using Biomimetic Valence Learning: An AI-Based Approach.
Proceedings of the IEEE International Conference on Communications, 2024
Proceedings of the Energy Informatics - 4th Energy Informatics Academy Conference, 2024
2023
Prescriptive analytics for optimal multi-use battery energy storage systems operation: State-of-the-art and research directions.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 27th International Conference KES-2023, 2023
2021
Resilient expansion planning of virtual energy plant with an integrated energy system - reliability criteria of lines and towers.
CoRR, 2021
Sustainable and decarbonized data-center facilities: A socio-techno-economic discussion.
Proceedings of the 2021 IEEE PES Innovative Smart Grid Technologies, 2021
VEDA - moVE DAta to balance the grid: research directions and recommendations for exploiting data centers flexibility within the power system.
Proceedings of the ICSCC 2021: 6th International Conference on Systems, Control and Communications, Chongqing, China, October 15, 2021
2020
Machine Learning for Hydropower Scheduling: State of the Art and Future Research Directions.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 24th International Conference KES-2020, 2020
Smart Energy and power systems modelling: an IoT and Cyber-Physical Systems perspective, in the context of Energy Informatics.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 24th International Conference KES-2020, 2020
2016
Eur. J. Oper. Res., 2016