collaborators

5 papers

stat.ME2025

Forecast reconciliation with non-linear constraints

Daniele Girolimetto, Anastasios Panagiotelis, Tommaso Di Fonzo +1

Methods for forecasting time series adhering to linear constraints have seen notable development in recent years, especially with the advent of forecast reconciliation. This paper…

stat.AP2025

Forecasting Italian daily electricity generation disaggregated by geographical zones and energy sources using coherent forecast combination

Daniele Girolimetto, Tommaso Di Fonzo

A novel approach is applied for improving forecast accuracy and achieving coherence in forecasting the Italian daily energy generation time series. In hierarchical frameworks such…

stat.AP2025

Energy load forecasting using Terna public data: a free lunch multi-task combination approach

Daniele Girolimetto, Tommaso Di Fonzo

We propose a quick-and-simple procedure to augment the accuracy of 15-minutes Italian load forecasts disaggregated by bidding zones published by Terna, the operator of the Italian…

stat.ME2024

Balancing Accuracy and Costs in Cross-Temporal Hierarchies: Investigating Decision-Based and Validation-Based Reconciliation

Mahdi Abolghasemi, Daniele Girolimetto, Tommaso Di Fonzo

Wind power forecasting is essential for managing daily operations at wind farms and enabling market operators to manage power uncertainty effectively in demand planning. This paper…

stat.ME2024

Coherent forecast combination for linearly constrained multiple time series

Daniele Girolimetto, Tommaso Di Fonzo

Linearly constrained multiple time series may be encountered in many practical contexts, such as the National Accounts (e.g., GDP disaggregated by Income, Expenditure and Output),…