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Christiano Lyra Filho
Christiano Lyra Filho
Faculdade de Engenharia Elétrica e de Computação, Universidade de Campinas (UNICAMP)
Verified email at densis.fee.unicamp.br
Title
Cited by
Cited by
Year
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
1332009
Optimal generation scheduling of hydrothermal power systems
S Soares, C Lyra, H Tavares
IEEE Transactions on Power Apparatus and Systems, 1107-1118, 1980
1211980
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
1142015
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
106*2012
Energy Losses Estimation in Power Distribution Systems
LMO Queiroz, MA Roselli, C Cavellucci, C Lyra
IEEE, 2012
1062012
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
1061995
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
812005
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
692011
Unorganized machines for seasonal streamflow series forecasting
H Siqueira, L Boccato, R Attux, C Lyra
International journal of neural systems 24 (03), 1430009, 2014
552014
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
492018
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
462004
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
452018
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
441997
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
412005
Modelling and optimization of hydrothermal generation scheduling
H Tavares, S Soares, C Lyra
Power Apparatus and Systems, IEEE Transactions on, 2126-2133, 1984
371984
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
29*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
292012
Optimal configuration of power distribution networks with variable renewable energy resources
EMB Cavalheiro, AHB Vergilio, C Lyra
Computers & Operations Research 96, 272-280, 2018
272018
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
262012
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