Distributed demand side management using electric boilers. - Lorenzo Nespoli; Alessandro Giusti; Nicola Vermes; Marco Derboni; Andrea Emilio Rizzoli; Luca Maria Gambardella; Vasco Medici (Comput. Sci. Res. Dev., 2017)

Constrained hierarchical networked optimization for energy markets. - Lorenzo Nespoli; Vasco Medici (ISGT Europe, 2018)

A rational decentralized generalized Nash equilibrium seeking for energy markets. - Lorenzo Nespoli; Matteo Salani; Vasco Medici (CoRR, 2018)

Unsupervised Disaggregation of Photovoltaic Production From Composite Power Flow Measurements of Heterogeneous Prosumers. - Fabrizio Sossan; Lorenzo Nespoli; Vasco Medici; Mario Paolone (IEEE Trans. Ind. Informatics, 2018)

Hierarchical Demand Forecasting Benchmark for the Distribution Grid. - Lorenzo Nespoli; Vasco Medici; Kristijan Lopatichki; Fabrizio Sossan (CoRR, 2019)

A data-driven approach to the forecasting of ground-level ozone concentration. - Dario Marvin; Lorenzo Nespoli; Davide Strepparava; Vasco Medici (CoRR, 2020)

Non intrusive load monitoring for demand side management. - Matteo Salani; Marco Derboni; Davide Rivola; Vasco Medici; Lorenzo Nespoli; Federico Rosato; Andrea Emilio Rizzoli (Energy Inform., 2020)

A stochastic deep reinforcement learning agent for grid-friendly electric vehicle charging management. - Charitha Buddhika Heendeniya; Lorenzo Nespoli (Energy Inform., 2022)

Multivariate Boosted Trees and Applications to Forecasting and Control. - Lorenzo Nespoli; Vasco Medici (J. Mach. Learn. Res., 2022)

Residential flexibility characterization and control using global forecasting models. - Lorenzo Nespoli; Vasco Medici (CoRR, 2023)

Vehicle-to-grid for car sharing - A simulation study for 2030. - Nina Wiedemann; Yanan Xin 001; Vasco Medici; Lorenzo Nespoli; Esra Suel; Martin Raubal (CoRR, 2023)

Exploring trade-offs in public bus electrification under stochastic conditions. - Charitha Buddhika Heendeniya; Lorenzo Nespoli; Marco Belliardi; Vasco Medici (Energy Inform., 2023)

National-scale bi-directional EV fleet control for ancillary service provision. - Lorenzo Nespoli; Nina Wiedemann; Esra Suel; Yanan Xin 001; Martin Raubal; Vasco Medici (Energy Inform., 2023)

Geometry of nonlinear forecast reconciliation. - Lorenzo Nespoli; Anubhab Biswas; Vasco Medici (CoRR, 2025)

BayesReconPy: A Python package for forecast reconciliation. - Anubhab Biswas; Lorenzo Nespoli; Dario Azzimonti; Lorenzo Zambon; Nicolò Rubattu; Giorgio Corani (J. Open Source Softw., 2025)