activity
20202025
most citedEnhancements in cross-temporal forecast reconciliation, with an application to solar irradiance forecasts

3 citations · 5 across the 5 of their papers we have counts for

collaborators

5 papers

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.AP20223 cited

Enhancements in cross-temporal forecast reconciliation, with an application to solar irradiance forecasts

Tommaso Di Fonzo, Daniele Girolimetto

In recent works by Yang et al. (2017a,b), and Yagli et al. (2019), geographical, temporal, and sequential deterministic reconciliation of hierarchical photovoltaic (PV) power gener…

stat.AP2021

Forecast combination based forecast reconciliation: insights and extensions

Tommaso Di Fonzo, Daniele Girolimetto

In a recent paper, while elucidating the links between forecast combination and cross-sectional forecast reconciliation, Hollyman et al. (2021) have proposed a forecast combination…

stat.ME20202 cited

Fully reconciled GDP forecasts from Income and Expenditure sides

Luisa Bisaglia, Tommaso Di Fonzo, Daniele Girolimetto

We propose a complete reconciliation procedure, resulting in a 'one number forecast' of the GDP figure, coherent with both Income and Expenditure sides' forecasted series, and eval…