Fuzzy Logic Controller for Modeling of Wind Energy Harvesting System for Remote Areas

Author:

Mitiku Tigilu,Manshahia Mukhdeep Singh

Publisher

Springer International Publishing

Reference31 articles.

1. International Energy Agency: Global energy demand grew by 2.1% in 2017, and carbon emissions rose for the first time since 2014. International Energy Agency, France (2018)

2. Geleta, D.K., Manshahia, M.S.: Optimization of renewable energy systems: review. Int. J. Sci. Res. Sci. Technol. 8(3), 769–795 (2017)

3. Geleta, D.K., Manshahia, M.S.: Optimization of hybrid wind and solar renewable energy system by iteration method. In: Vasant, P., Zelinka, I., Weber, G.W. (eds.) Intelligent Computing & Optimization, Conference Proceedings, ICO 2018. Springer, Cham (2018). ISBN 978-3-030-00978-6

4. Tigilu, M., Manshahia, M.S.: Modeling of wind energy harvesting system: a systematic review. Int. J. Eng. Sci. Math. 7(4), 444–467 (2018)

5. Munendra Pratap, S., Vinay Kumar, T.: Optimization & control of PMSM based wind energy using PI and fuzzy logic controller. Int. J. Sci. Eng. Technol. Res. 4(5), 1702–1708 (2015)

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