has been cited by the following article(s):
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[1]
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Improved genetic algorithm for economic load dispatch in hydropower plants and comprehensive performance comparison with dynamic programming method
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Journal of Hydrology,
2017 |
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[2]
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COMBINED ECONOMIC EMISSIONS DISPETCH PROBLEM USING LAGRANGE'S METHOD
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2015 |
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[3]
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Flujo óptimo de potencia dc considerando restricciones por congestión y pérdidas en las líneas para resolución de problemas de despacho económico
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2015 |
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[4]
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Optimal allocation of thermal generating units through Shuffled Frog Leaping Algorithm
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Green Computing Communication and Electrical Engineering (ICGCCEE), 2014 International Conference on,
2014 |
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[5]
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Investigation on the impact of the penalty factors over solution of the dispatch optimization problem
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Industrial Technology (ICIT), 2013 IEEE International Conference on. IEEE, 2013.,
2013 |
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[6]
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EMISSION CONSTRAINED ECONOMIC DISPATCH BY USING STOCHASTIC OPTIMISERS
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NMM Razali, TY Ye - actapress.com,
2013 |
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[7]
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Investigation of the Methods for Single Area and Multi Area Optimization of a Power System Dispatch Problem.
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S Krishnamurthy, R Tzoneva - International Review of Electrical Engineering, 2012,
2012 |
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[8]
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Application of the particle swarm optimization algorithm to a Combined Economic Emission Dispatch problem using a new penalty fa
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Power Engineering Society Conference and Exposition in Africa (PowerAfrica), 2012 IEEE. IEEE, 2012.,
2012 |
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[9]
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Multi Objective Dispatch Problem with Valve Point Effect Loading of Fuel Cost and Emission Criterion.
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International Journal of Computer & Electrical Engineering,
2012 |
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[10]
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Multiobjective dispatch problem with valve point effect loading of fuel cost and emission criterion
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2012 |
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[11]
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Multi Objective Dispatch Problem with Valve Point Effect Loading of Fuel Cost and Emission Criterion
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International Journal of Computer and Electrical Engineering,
2012 |
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[12]
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Comparative analyses of min-max and max-max price penalty factor approaches for multi criteria power system dispatch problem using Lagrange's method
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2011 |
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[13]
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Comparative analyses of min-max and max-max price penalty factor approaches for multi criteria power system dispatch problem with valve point effect loading using …
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2011 |
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[14]
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Combined economic emission dispatch-pareto optimal front approach
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International Journal of Computer Applications,
2011 |
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[15]
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Comparative analyses of Min-Max and Max-Max price penalty factor approaches for multi criteria power system dispatch problem with valve point effect loading using Lagrange's method
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Power and Energy Systems (ICPS), 2011 International Conference on. IEEE, 2011.,
2011 |
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[1]
|
Improved genetic algorithm for economic load dispatch in hydropower plants and comprehensive performance comparison with dynamic programming method
Journal of Hydrology,
2017
DOI:10.1016/j.jhydrol.2017.09.029
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|
|
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[2]
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Optimal allocation of thermal generating units through Shuffled Frog Leaping Algorithm
2014 International Conference on Green Computing Communication and Electrical Engineering (ICGCCEE),
2014
DOI:10.1109/ICGCCEE.2014.6922310
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[3]
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Investigation on the impact of the penalty factors over solution of the dispatch optimization problem
2013 IEEE International Conference on Industrial Technology (ICIT),
2013
DOI:10.1109/ICIT.2013.6505783
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[4]
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Application of the particle swarm optimization algorithm to a Combined Economic Emission Dispatch problem using a new penalty factor
IEEE Power and Energy Society Conference and Exposition in Africa: Intelligent Grid Integration of Renewable Energy Resources (PowerAfrica),
2012
DOI:10.1109/PowerAfrica.2012.6498644
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[5]
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Comparative analyses of Min-Max and Max-Max price penalty factor approaches for multi criteria power system dispatch problem using Lagrange's method
2011 INTERNATIONAL CONFERENCE ON RECENT ADVANCEMENTS IN ELECTRICAL, ELECTRONICS AND CONTROL ENGINEERING,
2011
DOI:10.1109/ICONRAEeCE.2011.6129758
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[6]
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Comparative analyses of Min-Max and Max-Max price penalty factor approaches for multi criteria power system dispatch problem with valve point effect loading using Lagrange's method
2011 International Conference on Power and Energy Systems,
2011
DOI:10.1109/ICPES.2011.6156650
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