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Applied Artificial Intelligence
An International Journal
Volume 23, 2009 - Issue 6
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Original Articles

GENETIC ALGORITHM MODEL FOR PROFIT MAXIMIZATION OF GENERATING COMPANIES IN DEREGULATED ELECTRICITY MARKETS

Pavlos S. Georgilakis Department of Production Engineering and Management, Technical University of Crete, Chania, GreeceCorrespondence[email protected]
Pages 538-552 | Published online: 22 Jul 2009

Citations (10)

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C. Christopher Columbus & SishajP. Simon. (2013) NODAL-BASED ANT COLONY OPTIMIZATION FOR PROFIT MAXIMIZATION OF GENCOS IN A DISTRIBUTED CLUSTER MODEL. Applied Artificial Intelligence 27:2, pages 86-103.
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Articles from other publishers (9)

Lucas Santiago Nepomuceno, Layon Mescolin de Oliveira, Ivo Chaves da Silva Junior, Edimar José de Oliveira & Arthur Neves de Paula. (2023) Modified Genetic Algorithm for the Profit-Based Unit Commitment Problem in Competitive Electricity Market. Energies 16:23, pages 7751.
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Mitul Ranjan Chakraborty, Subhojit Dawn, Pradip Kumar Saha, Jayanta Bhusan Basu & Taha Selim Ustun. (2022) A Comparative Review on Energy Storage Systems and Their Application in Deregulated Systems. Batteries 8:9, pages 124.
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Jayanta Bhusan Basu, Subhojit Dawn, Pradip Kumar Saha, Mitul Ranjan Chakraborty & Taha Selim Ustun. (2022) A Comparative Study on System Profit Maximization of a Renewable Combined Deregulated Power System. Electronics 11:18, pages 2857.
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Jatinder Singh Dhaliwal & J.S. Dhillon. (2021) A synergy of binary differential evolution and binary local search optimizer to solve multi-objective profit based unit commitment problem. Applied Soft Computing 107, pages 107387.
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T Anbazhagi, K Asokan & R AshokKumar. (2020) A mutual approach for profit-based unit commitment in deregulated power system integrated with renewable energy sources. Transactions of the Institute of Measurement and Control 43:5, pages 1102-1116.
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Hamdi Abdi. (2021) Profit-based unit commitment problem: A review of models, methods, challenges, and future directions. Renewable and Sustainable Energy Reviews 138, pages 110504.
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Jatinder Singh Dhaliwal & J.S. Dhillon. (2019) Profit based unit commitment using memetic binary differential evolution algorithm. Applied Soft Computing 81, pages 105502.
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Ping Che, Zhenhao Tang, Hua Gong & Xiaoli Zhao. (2018) An Improved Lagrangian Relaxation Algorithm for the Robust Generation Self-Scheduling Problem. Mathematical Problems in Engineering 2018, pages 1-12.
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Dionisios K. Dimitroulas & Pavlos S. Georgilakis. (2011) A new memetic algorithm approach for the price based unit commitment problem. Applied Energy 88:12, pages 4687-4699.
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