Integrating Gradient Search, Logistic Regression and Artificial Neural Network for Profit Based Unit Commitment
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computational Mathematics,General Computer Science
Link
http://www.tandfonline.com/doi/pdf/10.1080/18756891.2013.862355
Reference20 articles.
1. Wood A.J. and Wollenberg B.F. (1996), Power Generation Operation and Control, 2nded. New York: Wiley.
2. Genetic-based unit commitment algorithm
3. Attaviriyanupap P., Kita H., Tanaka E., and Hasegawa J. (2003), A Hybrid LR-EP for solving new profit- Based UC Problem Under competitive Environment, IEEE Transactions on Power Systems, 18, pp. 229-237.
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1. Profit-based unit commitment problem: A review of models, methods, challenges, and future directions;Renewable and Sustainable Energy Reviews;2021-03
2. Binary grey wolf optimizer models for profit based unit commitment of price-taking GENCO in electricity market;Swarm and Evolutionary Computation;2019-02
3. Binary whale optimization algorithm: a new metaheuristic approach for profit-based unit commitment problems in competitive electricity markets;Engineering Optimization;2018-05-10
4. A New Binary Variant of Sine–Cosine Algorithm: Development and Application to Solve Profit-Based Unit Commitment Problem;Arabian Journal for Science and Engineering;2017-08-19
5. Binary fireworks algorithm for profit based unit commitment (PBUC) problem;International Journal of Electrical Power & Energy Systems;2016-12
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