Adaptive Neuro-Fuzzy Inference Based Modeling of Wind Energy Harvesting System for Remote Areas
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-030-68154-8_1
Reference36 articles.
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2. WWEA: Wind power capacity worldwide reaches 597 GW, 50,1 GW added in 2018. World Wind Energy Association, Brazil (2019)
3. Husain, M.A., Tariq, A.: Modeling and study of a standalone PMSG wind generation system using MATLAB/SIMULINK. Univ. J. Electr. Electron. Eng. 2(7), 270–277 (2014)
4. Ali, A., Moussa, A., Abdelatif, K., Eissa, M., Wasfy, S., Malik, O.P.: ANFIS based controller for rectifier of PMSG wind energy conversion system energy conversion system. In: Proceedings of Electrical Power and Energy Conference (EPEC), pp. 99–103. IEEE, Calgary (2014)
5. Asghar, A.B., Liu, X.: Adaptive neuro-fuzzy algorithm to estimate effective wind speed and optimal rotor speed for variable-speed wind turbine. Neurocomputing 272, 495–504 (2017)
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