| Short-term wind power forecasting in Portugal by neural networks and wavelet transform JPS Catalão, HMI Pousinho, VMF Mendes Renewable energy 36 (4), 1245-1251, 2011 | 389 | 2011 |
| Hybrid wavelet-PSO-ANFIS approach for short-term wind power forecasting in Portugal JPS Catalao, HMI Pousinho, VMF Mendes IEEE Transactions on sustainable energy 2 (1), 50-59, 2010 | 315 | 2010 |
| Hybrid wavelet-PSO-ANFIS approach for short-term electricity prices forecasting JPS Catalão, HMI Pousinho, VMF Mendes IEEE Transactions on Power Systems 26 (1), 137-144, 2010 | 285 | 2010 |
| A hybrid PSO–ANFIS approach for short-term wind power prediction in Portugal HMI Pousinho, VMF Mendes, JPS Catalão Energy Conversion and Management 52 (1), 397-402, 2011 | 207 | 2011 |
| An artificial neural network approach for short-term wind power forecasting in Portugal JPS Catalao, HMI Pousinho, VMF Mendes 2009 15th International Conference on Intelligent System Applications to …, 2009 | 181 | 2009 |
| Short-term electricity prices forecasting in a competitive market by a hybrid PSO–ANFIS approach HMI Pousinho, VMF Mendes, JPS Catalão International Journal of Electrical Power & Energy Systems 39 (1), 29-35, 2012 | 141 | 2012 |
| Stochastic coordination of joint wind and photovoltaic systems with energy storage in day-ahead market ILR Gomes, HMI Pousinho, R Melicio, VMF Mendes Energy 124, 310-320, 2017 | 111 | 2017 |
| Optimal hydro scheduling and offering strategies considering price uncertainty and risk management JPS Catalão, HMI Pousinho, J Contreras Energy 37 (1), 237-244, 2012 | 110 | 2012 |
| Hydro energy systems management in Portugal: profit-based evaluation of a mixed-integer nonlinear approach JPS Catalão, HMI Pousinho, VMF Mendes Energy 36 (1), 500-507, 2011 | 98 | 2011 |
| A risk-averse optimization model for trading wind energy in a market environment under uncertainty HMI Pousinho, VMF Mendes, JPS Catalão Energy 36 (8), 4935-4942, 2011 | 84 | 2011 |
| Short-term electricity prices forecasting in a competitive market by a hybrid intelligent approach JPS Catalão, HMI Pousinho, VMF Mendes Energy Conversion and Management 52 (2), 1061-1065, 2011 | 84 | 2011 |
| Scheduling of head-dependent cascaded hydro systems: Mixed-integer quadratic programming approach JPS Catalão, HMI Pousinho, VMF Mendes Energy Conversion and Management 51 (3), 524-530, 2010 | 81 | 2010 |
| Hybrid intelligent approach for short-term wind power forecasting in Portugal JPS Catalao, HMI Pousinho, VMF Mendes IET Renewable Power Generation 5 (3), 251-257, 2011 | 80 | 2011 |
| Risk-constrained scheduling and offering strategies of a price-maker hydro producer under uncertainty HMI Pousinho, J Contreras, AG Bakirtzis, JPS Catalão IEEE Transactions on Power Systems 28 (2), 1879-1887, 2012 | 76 | 2012 |
| Self-scheduling for energy and spinning reserve of wind/CSP plants by a MILP approach HMI Pousinho, H Silva, VMF Mendes, M Collares-Pereira, CP Cabrita Energy 78, 524-534, 2014 | 74 | 2014 |
| Mixed-integer nonlinear approach for the optimal scheduling of a head-dependent hydro chain JPS Catalão, HMI Pousinho, VMF Mendes Electric Power Systems Research 80 (8), 935-942, 2010 | 72 | 2010 |
| Robust optimisation for self-scheduling and bidding strategies of hybrid CSP–fossil power plants HMI Pousinho, J Contreras, P Pinson, VMF Mendes International Journal of Electrical Power & Energy Systems 67, 639-650, 2015 | 71 | 2015 |
| Optimal offering strategies for wind power producers considering uncertainty and risk JPS Catalão, HMI Pousinho, VMF Mendes IEEE Systems Journal 6 (2), 270-277, 2011 | 61 | 2011 |
| A stochastic programming approach for the development of offering strategies for a wind power producer HMI Pousinho, VMF Mendes, JPS Catalão Electric Power Systems Research 89, 45-53, 2012 | 56 | 2012 |
| Neural networks and wavelet transform for short-term electricity prices forecasting JPS Catalão, HMI Pousinho, VMF Mendes 2009 15th International Conference on Intelligent System Applications to …, 2009 | 52 | 2009 |
Mendes VMFInstituto Superior de Engenharia de Lisboa; Universidade de ÉvoraEmail confirmado em deea.isel.ipl.pt
