Article coauthored by Rafał Weron:
- K. Olivares, C. Challu, G. Marcjasz, R. Weron, A. Dubrawski (2023) Neural basis expansion analysis with exogenous variables: Forecasting electricity prices with NBEATSx, International Journal of Forecasting 39(2), 884-900
(doi: 10.1016/j.ijforecast.2022.03.001)
has received enough citations to place it in the top 1% of the academic field of Economics & Business based on a highly cited threshold for the field and publication year (Source: Web of Science). Congrats!
There are 5 more Highly Cited Papers coauthored by researchers from our Department:
- J. Lago, G. Marcjasz, B. De Schutter, R. Weron (2021) Forecasting day-ahead electricity prices: A review of state-of-the-art algorithms, best practices and an open-access benchmark, Applied Energy 293, 116983 (doi: 10.1016/j.apenergy.2021.116983)
- G.D. Sharma, A. Thomas, J. Paul (2021) Reviving tourism industry post-COVID-19: A resilience-based framework, Tourism Management Perspectives 37, 100786 (doi: 10.1016/j.tmp.2020.100786)
- J. Nowotarski, R. Weron (2018) Recent advances in electricity price forecasting: A review of probabilistic forecasting, Renewable and Sustainable Energy Reviews 81(1), 1548-1568 (doi: 10.1016/j.rser.2017.05.234)
- B. Liu, J. Nowotarski, T. Hong, R. Weron (2017) Probabilistic load forecasting via Quantile Regression Averaging on sister forecasts, IEEE Transactions on Smart Grid 8(2), 730-737 (doi: 10.1109/TSG.2015.2437877)
- R. Weron (2014) Electricity price forecasting: A review of the state-of-the-art with a look into the future, International Journal of Forecasting 30(4), 1030-1081
(Invited Paper; doi: 10.1016/j.ijforecast.2014.08.008)
