Rafał Weron
Scholar

Rafał Weron

Google Scholar ID: hnzxVlgAAAAJ
Wrocław University of Science and Technology (Politechnika Wrocławska), Poland
ForecastingEnergy ForecastingEnergy AnalyticsEnergy EconomicsComputational Finance
Citations & Impact
All-time
Citations
9,116
 
H-index
44
 
i10-index
91
 
Publications
20
 
Co-authors
119
list available
Publications
20 items
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
  • Recipient of numerous awards, including the Ministry of Science and Higher Education Prize for outstanding academic achievements (2016), Emerald Citation of Excellence Award (2017), IIF Tao Hong Award (2017), Hugo Steinhaus prize of the Polish Mathematical Society (2018), one of the 30 Creative Minds of Wrocław (2019), IEEE Open Access Journal of Power and Energy (OAJPE) Best Paper Award (2021), and the International Journal of Forecasting Outstanding Paper in Energy Forecasting Award (2022). Author of highly acclaimed books, including Modeling and Forecasting Electricity Loads and Prices: A Statistical Approach (Wiley, 2006) and co-author of four other books. Published over 100 peer-reviewed book chapters and journal articles.
Research Experience
  • Serves as an Associate Editor for several international journals such as Computational Statistics, Digital Finance, International Journal of Forecasting, etc. Organizer of multiple academic conferences, including the Energy Finance Christmas (EFC) Workshops series.
Background
  • Professor of Management Science (Energy Forecasting), Rector's Proxy for the Evaluation of the Quality of Scientific Activity, Head of the Management and Quality Studies Discipline Council and Head of the Department of Operations Research and Business Intelligence at the Wrocław University of Science and Technology. His research interests include agent-based modeling and simulation, complex systems, computational economics, computational statistics and machine learning, financial engineering and risk management, stochastic modeling and time series analysis.
Miscellany
  • Member of Academia Europaea - Academy of Europe, the Statistics and Econometrics Committee of the Polish Academy of Sciences (KSiE PAN), and the International Institute of Forecasters (IIF).