activity
20242026
most citedStatistical and economic evaluation of forecasts in electricity markets: beyond RMSE and MAE

2 citations · 2 across the 4 of their papers we have counts for

collaborators

6 papers

stat.AP2026

Probabilistic forecasting via post-processing prediction errors: In- or out-of-sample?

Piotr Zaborowski, Arkadiusz Lipiecki, Fotios Petropoulos +1

Many forecasting systems produce point forecasts even when decisions require information about uncertainty. We investigate whether post-processing methods can systematically improv…

physics.soc-ph2026

Competition between private and expressed opinions in binary choice: the -EPO -voter model

Barbara Kamińska, Barbara Nowak, Arkadiusz Lipiecki +1

People often express opinions that differ from their privately held views, a phenomenon known in economy as preference falsification. Expressed-private opinion (EPO) models capture…

q-fin.CP20262 cited

Statistical and economic evaluation of forecasts in electricity markets: beyond RMSE and MAE

Katarzyna Maciejowska, Arkadiusz Lipiecki, Bartosz Uniejewski

Electricity price forecasts are typically evaluated using accuracy measures such as RMSE and MAE, although these metrics often fail to reflect their economic value in operational d…

q-fin.ST2026

Stealing Accuracy: Predicting Day-ahead Electricity Prices with Temporal Hierarchy Forecasting (THieF)

Arkadiusz Lipiecki, Kaja Bilinska, Nicolaos Kourentzes +1

We introduce the concept of temporal hierarchy forecasting (THieF) in predicting day-ahead electricity prices and show that reconciling forecasts for hourly products and 2- to 24-h…

physics.soc-ph2025

When heterogeneity drives hysteresis: Anticonformity in the multistate -voter model on networks

Arkadiusz Lipiecki, Katarzyna Sznajd-Weron

Discontinuous phase transitions are closely linked to tipping points, critical mass effects, and hysteresis, phenomena that have been confirmed empirically and recognized as highly…

q-fin.ST2024

Postprocessing of point predictions for probabilistic forecasting of day-ahead electricity prices: The benefits of using isotonic distributional regression

Arkadiusz Lipiecki, Bartosz Uniejewski, Rafał Weron

Operational decisions relying on predictive distributions of electricity prices can result in significantly higher profits compared to those based solely on point forecasts. Howeve…