| Wind power forecasting: State-of-the-art 2009. C Monteiro, R Bessa, V Miranda, A Botterud, J Wang, G Conzelmann Argonne National Lab.(ANL), Argonne, IL (United States), 2009 | 426 | 2009 |
| Methodologies to determine operating reserves due to increased wind power H Holttinen, M Milligan, E Ela, N Menemenlis, J Dobschinski, B Rawn, ... IEEE transactions on sustainable energy 3 (4), 713-723, 2012 | 367 | 2012 |
| Wind power forecasting uncertainty and unit commitment J Wang, A Botterud, R Bessa, H Keko, L Carvalho, D Issicaba, J Sumaili, ... Applied Energy 88 (11), 4014-4023, 2011 | 359 | 2011 |
| Setting the operating reserve using probabilistic wind power forecasts MA Matos, RJ Bessa Power Systems, IEEE Transactions on 26 (2), 594-603, 2011 | 347 | 2011 |
| Optimized Bidding of a EV Aggregation Agent in the Electricity Market RJ Bessa, MA Matos, FJ Soares, JAP Lopes IEEE Transactions on Smart Grid 3 (1), 443-452, 2012 | 289 | 2012 |
| Flexibility products and markets: Literature review J Villar, R Bessa, M Matos Electric Power Systems Research 154, 329-340, 2018 | 263 | 2018 |
| Economic and technical management of an aggregation agent for electric vehicles: a literature survey RJ Bessa, MA Matos European Transactions on Electrical Power 22 (3), 334-350, 2012 | 258 | 2012 |
| Entropy and correntropy against minimum square error in offline and online three-day ahead wind power forecasting RJ Bessa, V Miranda, J Gama IEEE Transactions on Power Systems 24 (4), 1657-1666, 2009 | 221 | 2009 |
| Wind Power Trading under Uncertainty in LMP markets A Botterud, Z Zhou, J Wang, RJ Bessa, H Keko, J Sumaili, V Miranda Power Systems, IEEE Transactions on 27 (2), 894-903, 2012 | 210 | 2012 |
| Improving renewable energy forecasting with a grid of numerical weather predictions JR Andrade, RJ Bessa IEEE Transactions on Sustainable Energy 8 (4), 1571-1580, 2017 | 200 | 2017 |
| Comparison of two new short-term wind-power forecasting systems IJ Ramirez-Rosado, LA Fernandez-Jimenez, C Monteiro, J Sousa, ... Renewable Energy 34 (7), 1848-1854, 2009 | 193 | 2009 |
| Forecasting: theory and practice F Petropoulos, D Apiletti, V Assimakopoulos, MZ Babai, DK Barrow, ... International Journal of Forecasting, 2022 | 191 | 2022 |
| Time Adaptive Conditional Kernel Density Estimation for Wind Power Forecasting RJ Bessa, V Miranda, A Botterud, J Wang, EM Constantinescu IEEE Transactions on Sustainable Energy, 1-10, 2012 | 188 | 2012 |
| Time-adaptive quantile-copula for wind power probabilistic forecasting RJ Bessa, V Miranda, A Botterud, Z Zhou, J Wang Renewable Energy 40 (1), 29-39, 2012 | 187 | 2012 |
| Estimating the active and reactive power flexibility area at the TSO-DSO interface J Silva, J Sumaili, RJ Bessa, L Seca, MA Matos, V Miranda, M Caujolle, ... IEEE Transactions on Power Systems 33 (5), 4741-4750, 2018 | 180 | 2018 |
| Demand dispatch and probabilistic wind power forecasting in unit commitment and economic dispatch: A case study of Illinois A Botterud, Z Zhou, J Wang, J Sumaili, H Keko, J Mendes, RJ Bessa, ... IEEE Transactions on Sustainable Energy 4 (1), 250-261, 2012 | 167 | 2012 |
| Spatial-temporal solar power forecasting for smart grids RJ Bessa, A Trindade, V Miranda IEEE Transactions on Industrial Informatics 11 (1), 232-241, 2014 | 160 | 2014 |
| Optimization models for EV aggregator participation in a manual reserve market RJ Bessa, MA Matos IEEE Transactions on Power Systems 28 (3), 3085-3095, 2013 | 145 | 2013 |
| Probabilistic solar power forecasting in smart grids using distributed information RJ Bessa, A Trindade, CSP Silva, V Miranda International Journal of Electrical Power & Energy Systems 72, 16-23, 2015 | 142 | 2015 |
| The role of an aggregator agent for EV in the electricity market RJ Bessa, MA Matos IET Digital Library, 2010 | 138 | 2010 |
