3 papers
physics.ao-ph2020
A data-driven approach to the forecasting of ground-level ozone concentration
Dario Marvin, Lorenzo Nespoli, Davide Strepparava +1
The ability to forecast the concentration of air pollutants in an urban region is crucial for decision-makers wishing to reduce the impact of pollution on public health through act…
cs.LG2019
Hierarchical Demand Forecasting Benchmark for the Distribution Grid
Lorenzo Nespoli, Vasco Medici, Kristijan Lopatichki +1
We present a comparative study of different probabilistic forecasting techniques on the task of predicting the electrical load of secondary substations and cabinets located in a lo…
cs.CE2018
A rational decentralized generalized Nash equilibrium seeking for energy markets
Lorenzo Nespoli, Matteo Salani, Vasco Medici
We propose a method to design a decentralized energy market which guarantees individual rationality (IR) in expectation, in the presence of system-level grid constraints. We formul…