90 citations · 94 across the 11 of their papers we have counts for
14 papers
Nonlinear Probabilistic Forecast Reconciliation
Anubhab Biswas, Lorenzo Zambon, Lorenzo Nespoli +1
Forecast reconciliation adjusts independently generated forecasts across multiple time series so that they satisfy some known constraints. While probabilistic forecast reconciliati…
Underdetermined Library-aided Impedance Estimation with Terminal Smart Meter Data
Federico Rosato, Lorenzo Nespoli, Vasco Medici
Smart meters provide relevant information for impedance identification, but they lack global phase alignment and internal network nodes are often unobserved. A few methods for this…
Robust Rule-Based Sizing and Control of Batteries for Peak Shaving Applications
Lorenzo Nespoli, Vasco Medici
As the cost of batteries lowers, sizing and control methods that are both fast and can achieve their promised performances when deployed are becoming more important. In this paper,…
Nonlinear reconciliation: Error reduction theorems
Lorenzo Nespoli, Anubhab Biswas, Roberto Rocchetta +1
Forecast reconciliation, an ex-post technique applied to forecasts that must satisfy constraints, has been a prominent topic in the forecasting literature over the past two decades…
Vehicle-to-grid for car sharing -- A simulation study for 2030
Nina Wiedemann, Yanan Xin, Vasco Medici +3
The proliferation of car sharing services in recent years presents a promising avenue for advancing sustainable transportation. Beyond merely reducing car ownership rates, these sy…
Quantification of Residential Flexibility Potential using Global Forecasting Models
Lorenzo Nespoli, Vasco Medici
This paper proposes a general and practical approach to estimate the economic benefits of optimally controlling deferrable loads in a Distribution System Operator's (DSO) grid, wit…
National-scale bi-directional EV fleet control for ancillary service provision
Lorenzo Nespoli, Nina Wiedemann, Esra Suel +3
Deploying real-time control on large-scale fleets of electric vehicles (EVs) is becoming pivotal as the share of EVs over internal combustion engine vehicles increases. In this pap…
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…
Multivariate Boosted Trees and Applications to Forecasting and Control
Lorenzo Nespoli, Vasco Medici
Gradient boosted trees are competition-winning, general-purpose, non-parametric regressors, which exploit sequential model fitting and gradient descent to minimize a specific loss…
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…
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…
Constrained hierarchical networked optimization for energy markets
Lorenzo Nespoli, Vasco Medici
In this paper, we propose a distributed control strategy for the design of an energy market. The method relies on a hierarchical structure of aggregators for the coordination of pr…
An Unsupervised Method for Estimating the Global Horizontal Irradiance from Photovoltaic Power Measurements
Lorenzo Nespoli, Vasco Medici
In this paper, we present a method to determine the global horizontal irradiance (GHI) from the power measurements of one or more PV systems, located in the same neighborhood. The…
Unsupervised Disaggregation of PhotoVoltaic Production from Composite Power Flow Measurements of Heterogeneous Prosumers
Fabrizio Sossan, Lorenzo Nespoli, Vasco Medici +1
We consider the problem of estimating the unobserved amount of photovoltaic (PV) generation and demand in a power distribution network starting from measurements of the aggregated…