| 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 | 458 | 2009 |
| 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 | 388 | 2011 |
| Wind power trading under uncertainty in LMP markets A Botterud, Z Zhou, J Wang, RJ Bessa, H Keko, J Sumaili, V Miranda IEEE Transactions on power systems 27 (2), 894-903, 2011 | 235 | 2011 |
| A survey on wind power ramp forecasting. C Ferreira, J Gama, L Matias, A Botterud, J Wang Argonne National Lab.(ANL), Argonne, IL (United States), 2011 | 232 | 2011 |
| 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 | 186 | 2012 |
| Reconstructing missing data in state estimation with autoencoders V Miranda, J Krstulovic, H Keko, C Moreira, J Pereira IEEE Transactions on power systems 27 (2), 604-611, 2011 | 140 | 2011 |
| Stochastic star communication topology in evolutionary particle swarms (EPSO) V Miranda, H Keko, AJ Junior | 110 | 2008 |
| Agent based modelling and energy planning–Utilization of MATSim for transport energy demand modelling T Novosel, L Perković, M Ban, H Keko, T Pukšec, G Krajačić, N Duić Energy 92, 466-475, 2015 | 106 | 2015 |
| Risk management and optimal bidding for a wind power producer A Botterud, J Wang, RJ Bessa, H Keko, V Miranda IEEE PES General Meeting, 1-8, 2010 | 104 | 2010 |
| EPSO: Evolutionary particle swarms V Miranda, H Keko, A Jaramillo Advances in evolutionary computing for system design, 139-167, 2007 | 75 | 2007 |
| Application of probabilistic wind power forecasting in electricity markets Z Zhou, A Botterud, J Wang, RJ Bessa, H Keko, J Sumaili, V Miranda Wind Energy 16 (3), 321-338, 2013 | 74 | 2013 |
| A quick guide to wind power forecating: state-of-the-art 2009. C Monteiro, H Keko, R Bessa, V Miranda, A Botterud, J Wang, ... Argonne National Lab.(ANL), Argonne, IL (United States), 2009 | 59 | 2009 |
| Finding representative wind power scenarios and their probabilities for stochastic models J Sumaili, H Keko, V Miranda, Z Zhou, A Botterud, J Wang 2011 16th International Conference on Intelligent System Applications to …, 2011 | 48 | 2011 |
| Unit commitment and operating reserves with probabilistic wind power forecasts A Botterud, Z Zhou, J Wang, J Valenzuela, J Sumaili, RJ Bessa, H Keko, ... 2011 IEEE Trondheim PowerTech, 1-7, 2011 | 45 | 2011 |
| Clustering-based wind power scenario reduction J Sumaili, H Keko, V Miranda, A Botterud, J Wang Proceedings of the 17th Power Systems Computation Conference, 2011 | 40 | 2011 |
| Use of wind power forecasting in operational decisions. A Botterud, Z Zhi, J Wang, RJ Bessa, H Keko, J Mendes, J Sumaili, ... Argonne National Lab.(ANL), Argonne, IL (United States), 2011 | 38 | 2011 |
| Artificial immune systems in solving routing problems H Keko, M Skok, D Skrlec The IEEE Region 8 EUROCON 2003. Computer as a Tool. 1, 62-66, 2003 | 33 | 2003 |
| A multiple scenario security constrained reactive power planning tool using EPSO H Keko, AJ Duque, V Miranda 2007 International Conference on Intelligent Systems Applications to Power …, 2007 | 24 | 2007 |
| Automated energy sharing in MV and LV distribution grids within an energy community: A case for Croatian city of Križevci with a hybrid renewable system L Herenčić, M Kirac, H Keko, I Kuzle, I Rajšl Renewable energy 191, 176-194, 2022 | 22 | 2022 |
| Statistical tuning of DEEPSO soft constraints in the Security Constrained Optimal Power Flow problem LM Carvalho, F Loureiro, J Sumaili, H Keko, V Miranda, CG Marcelino, ... 2015 18th International Conference on Intelligent System Application to …, 2015 | 20 | 2015 |
