activity
20222026
most citedLASSO Principal Component Averaging -- a fully automated approach for point forecast pooling

19 citations · 43 across the 9 of their papers we have counts for

collaborators

9 papers

q-fin.ST2026

From electricity prices to profits: multidimensional probabilistic forecasting for BESS trading

Tomasz Weron, Katarzyna Maciejowska

This article examines various methods of constructingmultidimensional probabilistic forecasts of electricity prices. Building on the Multiple Split (MS) method, it incorporates for…

econ.GN2026

Impact of distribution fees on BESS scheduling and profitability

Katarzyna Maciejowska

Battery energy storage systems (BESS) are expected to play an important role in electricity markets with increasing shares of renewable generation. While existing research has prim…

q-fin.CP2025★ 3 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.RM2024★ 2 cited

Multiple split approach -- multidimensional probabilistic forecasting of electricity markets

Katarzyna Maciejowska, Weronika Nitka

In this article, a multiple split method is proposed that enables construction of multidimensional probabilistic forecasts of a selected set of variables. The method uses repeated…

stat.AP2023★ 8 cited

Probabilistic forecasting with a hybrid Factor-QRA approach: Application to electricity trading

Katarzyna Maciejowska, Tomasz Serafin, Bartosz Uniejewski

This paper presents a novel hybrid approach for constricting probabilistic forecasts that combines both the Quantile Regression Averaging (QRA) method and the factor-based averagin…

stat.AP2022★ 19 cited

LASSO Principal Component Averaging -- a fully automated approach for point forecast pooling

Bartosz Uniejewski, Katarzyna Maciejowska

This paper develops a novel, fully automated forecast averaging scheme, which combines LASSO estimation method with Principal Component Averaging (PCA). LASSO-PCA (LPCA) explores a…

stat.ME2022

Identification testing via sample splitting -- an application to Structural VAR models

Katarzyna Maciejowska

In this article, a novel identification test is proposed, which can be applied to parameteric models such as Mixture of Normal (MN) distributions, Markow Switching(MS), or Structur…

q-fin.ST2022

A portfolio management of a small RES utility with a Structural Vector Autoregressive model of German electricity markets

Katarzyna Maciejowska

The changes in electricity markets expose RES producers and electricity traders to various risks, among which the price and the volume risk play a very important role. In this rese…

q-fin.ST2022★ 11 cited

Forecasting Electricity Prices

Katarzyna Maciejowska, Bartosz Uniejewski, Rafał Weron

Forecasting electricity prices is a challenging task and an active area of research since the 1990s and the deregulation of the traditionally monopolistic and government-controlled…