Adaptive hybrid genetic algorithm for technical loss reduction in distribution networks under variable demands LMO Queiroz, C Lyra IEEE Transactions on Power Systems 24 (1), 445-453, 2009 | 131 | 2009 |
Optimal generation scheduling of hydrothermal power systems S Soares, C Lyra, H Tavares IEEE Transactions on Power Apparatus and Systems, 1107-1118, 1980 | 121 | 1980 |
Switch Allocation Problems in Power Distribution Systems LS DE ASSIS, JFV GONZALEZ, FL USBERTI, C Lyra, C CAVELLUCCI, ... IEEE Transactions on Power Systems 30, 8, 2015 | 111 | 2015 |
A multiobjective approach to the short-term scheduling of a hydroelectric power system C Lyra, LRM Ferreira IEEE Transactions on Power Systems 10 (4), 1750-1755, 1995 | 106 | 1995 |
Energy Losses Estimation in Power Distribution Systems CCCL Leonardo Mendonça Oliveira de Queiroz, Marcio A. Roselli IEEE Transactions on Power Systems 27, 1879-1887, 2012 | 104* | 2012 |
Energy Losses Estimation in Power Distribution Systems LMO Queiroz, MA Roselli, C Cavellucci, C Lyra IEEE, 2012 | 104 | 2012 |
Capacitor placement in large-sized radial distribution networks A Mendes, PM Franca, C Lyra, C Pissarra, C Cavellucci Generation, Transmission and Distribution, IEE Proceedings- 152 (4), 496-502, 2005 | 81 | 2005 |
Two-level network design with intermediate facilities: an application to electrical distribution systems AM Costa, PM França, C Lyra Filho Omega 39 (1), 3-13, 2011 | 68 | 2011 |
Unorganized machines for seasonal streamflow series forecasting H Siqueira, L Boccato, R Attux, C Lyra International journal of neural systems 24 (03), 1430009, 2014 | 54 | 2014 |
Performance analysis of unorganized machines in streamflow forecasting of Brazilian plants H Siqueira, L Boccato, I Luna, R Attux, C Lyra Applied Soft Computing 68, 494-506, 2018 | 48 | 2018 |
Distribution network reconfiguration for loss reduction with variable demands EA Bueno, C Lyra, C Cavellucci 2004 IEEE/PES Transmision and Distribution Conference and Exposition: Latin …, 2004 | 45 | 2004 |
Ant genera identification using an ensemble of convolutional neural networks ACR Marques, M M. Raimundo, EM B. Cavalheiro, L FP Salles, C Lyra, ... Plos one 13 (1), e0192011, 2018 | 43 | 2018 |
Minimization of energy losses in electric power distribution systems by intelligent search strategies C Cavellucci, C Lyra International Transactions in Operational Research 4 (1), 23-33, 1997 | 43 | 1997 |
Learning classifiers shape reactive power to decrease losses in power distribution networks J Federico, V Gonzalez, C Lyra Power Engineering Society General Meeting, 2005. IEEE, 557-562 Vol. 1, 2005 | 41 | 2005 |
Modelling and optimization of hydrothermal generation scheduling H Tavares, S Soares, C Lyra Power Apparatus and Systems, IEEE Transactions on, 2126-2133, 1984 | 37 | 1984 |
Echo State Networks and Extreme Learning Machines: A Comparative Study on Seasonal Streamflow Series Prediction RRFACLF Hugo Valadares Siqueira, Levy Boccato Lecture Notes in Computer Science 7664, 491-500, 2012 | 31* | 2012 |
Echo State Networks for Seasonal Streamflow Series Forecasting RRFACL Hugo Valadares Siqueira, Levy Boccato Lecture Notes in Computer Science 7435, 226-236, 2012 | 28* | 2012 |
Echo State Networks for Seasonal Streamflow Series Forecasting H Siqueira, L Boccato, R Attux, C Filho Intelligent Data Engineering and Automated Learning-IDEAL 2012, 226-236, 2012 | 28 | 2012 |
A pseudo-polynomial algorithm for optimal capacitor placement on electric power distribution networks JF Vizcaino González, C Lyra, F Usberti European Journal of Operational Research, 2012 | 26 | 2012 |
A Pseudo-Polynomial Algorithm for Optimal Capacitor Placement on Electric Power Distribution Networks CLFU José Federico Vizcaino González Elsevier 222, 149-156, 2012 | 26* | 2012 |