Lorenzo Nespoli

According to our database, Lorenzo Nespoli authored at least 18 papers between 2017 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Underdetermined Library-aided Impedance Estimation with Terminal Smart Meter Data.

Federico Rosato, Lorenzo Nespoli, Vasco Medici

CoRR, March, 2026

Nonlinear reconciliation: Error reduction theorems.

Lorenzo Nespoli, Anubhab Biswas, Roberto Rocchetta, Vasco Medici

Trans. Mach. Learn. Res., 2026

2025

Robust Rule-Based Sizing and Control of Batteries for Peak Shaving Applications.

Lorenzo Nespoli, Vasco Medici

CoRR, November, 2025

BayesReconPy: A Python package for forecast reconciliation.

Anubhab Biswas, Lorenzo Nespoli, Dario Azzimonti, Lorenzo Zambon, Nicolò Rubattu, Giorgio Corani

J. Open Source Softw., August, 2025

Geometry of nonlinear forecast reconciliation.

Lorenzo Nespoli, Anubhab Biswas, Vasco Medici

CoRR, July, 2025

2023

National-scale bi-directional EV fleet control for ancillary service provision.

Lorenzo Nespoli, Nina Wiedemann, Esra Suel, Yanan Xin, Martin Raubal, Vasco Medici

Energy Inform., January, 2023

Exploring trade-offs in public bus electrification under stochastic conditions.

Charitha Buddhika Heendeniya, Lorenzo Nespoli, Marco Belliardi, Vasco Medici

Energy Inform., January, 2023

Vehicle-to-grid for car sharing - A simulation study for 2030.

Nina Wiedemann, Yanan Xin, Vasco Medici, Lorenzo Nespoli, Esra Suel, Martin Raubal

CoRR, 2023

Residential flexibility characterization and control using global forecasting models.

Lorenzo Nespoli, Vasco Medici

CoRR, 2023

2022

Multivariate Boosted Trees and Applications to Forecasting and Control.

Lorenzo Nespoli, Vasco Medici

J. Mach. Learn. Res., 2022

A stochastic deep reinforcement learning agent for grid-friendly electric vehicle charging management.

Charitha Buddhika Heendeniya, Lorenzo Nespoli

Energy Inform., 2022

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 data-driven approach to the forecasting of ground-level ozone concentration.

Dario Marvin, Lorenzo Nespoli, Davide Strepparava, Vasco Medici

CoRR, 2020

2019

Hierarchical Demand Forecasting Benchmark for the Distribution Grid.

Lorenzo Nespoli, Vasco Medici, Kristijan Lopatichki, Fabrizio Sossan

CoRR, 2019

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

A rational decentralized generalized Nash equilibrium seeking for energy markets.

Lorenzo Nespoli, Matteo Salani, Vasco Medici

CoRR, 2018

Constrained hierarchical networked optimization for energy markets.

Lorenzo Nespoli, Vasco Medici

Proceedings of the 2018 IEEE PES Innovative Smart Grid Technologies Conference Europe, 2018

2017

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