RAISE AI for smart grids
AI-based methods and software for smart grid optimisation and verification.
At RAISE Lab we focus on AI-based methods and software to support smart grid optimisation and verification.
Selected publications
A Two-Layer Near-Optimal Strategy for Substation Constraint Management via Home Batteries
Igor Melatti, Federico Mari, Toni Mancini, Milan Prodanovic, Enrico Tronci.
IEEE Transactions on Industrial Electronics, 69(8), pages 8566-8578, 2022.
Parallel Statistical Model Checking for Safety Verification in Smart Grids
Toni Mancini, Federico Mari, Igor Melatti, Ivano Salvo, Enrico Tronci, J.K. Gruber, B. Hayes, M. Prodanovic, L. Elmegaard.
In proceedings of the 2018 IEEE International Conference on Smart Grid Communications (SmartGridComm 2018). Aalborg, Denmark. IEEE, 2018.
Residential Demand Management using Individualised Demand Aware Price Policies
Barry Hayes, Igor Melatti, Toni Mancini, Milan Prodanovic, Enrico Tronci.
IEEE Transactions on Smart Grid, 8(3), pages 1284-1294, 2017.
