Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Modeling and Forecasting Electricity Loads and Prices: A Statistical Approach
2006547 citationsRafał WeronRePEc: Research Papers in Economicsprofile →
Modeling and Forecasting Electricity Loads and Prices
This map shows the geographic impact of Rafał Weron's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Rafał Weron with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rafał Weron more than expected).
This network shows the impact of papers produced by Rafał Weron. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Rafał Weron. The network helps show where Rafał Weron may publish in the future.
Co-authorship network of co-authors of Rafał Weron
This figure shows the co-authorship network connecting the top 25 collaborators of Rafał Weron.
A scholar is included among the top collaborators of Rafał Weron based on the total number of
citations received by their joint publications. Widths of edges
represent the number of papers authors have co-authored together.
Node borders
signify the number of papers an author published with Rafał Weron. Rafał Weron is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
All Works
20 of 20 papers shown
1.
Lago, Jesus, Grzegorz Marcjasz, Bart De Schutter, & Rafał Weron. (2021). Erratum to 'Forecasting day-ahead electricity prices: A review of state-of-the-art algorithms, best practices and an open-access benchmark' [Appl. Energy 293 (2021) 116983]. RePEc: Research Papers in Economics.1 indexed citations
2.
Marcjasz, Grzegorz, et al.. (2018). A note on averaging day-ahead electricity price forecasts across calibration windows. RePEc: Research Papers in Economics.1 indexed citations
3.
Weron, Rafał & Florian Ziel. (2016). Day-ahead electricity price forecasting with high-dimensional structures: Univariate vs. multivariate models.3 indexed citations
4.
Nowotarski, Jakub, Bidong Liu, Rafał Weron, & Tao Hong. (2015). Improving short term load forecast accuracy via combining sister forecasts. RePEc: Research Papers in Economics.1 indexed citations
Trueck, Stefan, et al.. (2014). Modelling price spikes in electricity markets - the impact of load, weather and capacity. RePEc: Research Papers in Economics. 195–221.1 indexed citations
Janczura, Joanna & Rafał Weron. (2011). Efficient estimation of Markov regime-switching models: An application to electricity spot prices. RePEc: Research Papers in Economics.1 indexed citations
9.
Weron, Rafał. (2010). STABLERND: MATLAB function to generate random numbers from the stable distribution. RePEc: Research Papers in Economics.1 indexed citations
10.
Zielonka, Piotr, et al.. (2009). Rzecz o dyskontowaniu odroczonych wypłat. 49–70.
11.
Weron, Rafał. (2009). Forecasting wholesale electricity prices: A review of time series models. Munich Personal RePEc Archive (Munich University).6 indexed citations
Weron, Rafał. (2008). Corporate View on Risk Management (Korporacyjne Spojrzenie na Zarządzanie Ryzykiem) (Polish). SSRN Electronic Journal.
14.
Trueck, Stefan, Rafał Weron, & Rodney Wolff. (2007). Outlier Treatment and Robust Approaches for Modeling Electricity Spot Prices. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich).45 indexed citations
15.
Weron, Rafał & Adam Misiorek. (2007). Heavy tails and electricity prices: Do time series models with non-Gaussian noise forecast better than their Gaussian counterparts?. RePEc: Research Papers in Economics. 472–480.3 indexed citations
16.
Weron, Rafał & Adam Misiorek. (2006). Short-term electricity price forecasting with time series models: A review and evaluation. RePEc: Research Papers in Economics.25 indexed citations
17.
Burnecki, Krzysztof, Anna Chernobai, Svetlozar T. Rachev, Stefan Trueck, & Rafał Weron. (2006). Modelling Catastrophe Claims with Left-truncated Severity Distributions. QUT Business School.4 indexed citations
18.
Misiorek, Adam & Rafał Weron. (2006). Zwiększenie dokładności prognoz ceny energii poprzez zastosowanie preprocessingu oraz modeli nieliniowych. PRZEGLĄD ELEKTROTECHNICZNY. 44–46.4 indexed citations
19.
Weron, Rafał, et al.. (2001). Modelowanie cen i zapotrzebowania na energię elektryczną: szeregi czasowe z szumem hiperbolicznym. 96–100.
20.
Weron, Rafał. (1996). Correction to: "On the Chambers–Mallows–Stuck Method for Simulating Skewed Stable Random Variables". Munich Personal RePEc Archive (Ludwig Maximilian University of Munich).3 indexed citations
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