Optimal control strategies for a hybrid renewable energy system: an ALANN/RNN technique
Author:
Publisher
Springer Science and Business Media LLC
Subject
Geometry and Topology,Theoretical Computer Science,Software
Link
http://link.springer.com/content/pdf/10.1007/s00500-019-03885-9.pdf
Reference41 articles.
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2. Abualigah LM, Khader AT (2017) Unsupervised text feature selection technique based on hybrid particle swarm optimization algorithm with genetic operators for the text clustering. J Supercomput 73(11):4773–4795. https://doi.org/10.1007/s11227-017-2046-2
3. Abualigah LM, Khader AT, Hanandeh ES (2018a) A combination of objective functions and hybrid krill herd algorithm for text document clustering analysis. Eng Appl Artif Intell 73:111–125. https://doi.org/10.1016/j.engappai.2018.05.003
4. Abualigah LM, Khader AT, Hanandeh ES (2018b) Hybrid clustering analysis using improved krill herd algorithm. Appl Intell. https://doi.org/10.1007/s10489-018-1190-6
5. Aktas A, Erhan K, Ozdemir S, Ozdemir E (2017) Experimental investigation of a new smart energy management algorithm for a hybrid energy storage system in smart grid applications. Electr Power Syst Res 144:185–196. https://doi.org/10.1016/j.epsr.2016.11.022
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