"Hybrid Power Systems Energy Controller Based on Neural Network and Fuzzy Logic"
written by Emad M. Natsheh, Alhussein Albarbar,
published by Smart Grid and Renewable Energy, Vol.4 No.2, 2013
has been cited by the following article(s):
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[3] Application of Neuro-Fuzzy Control Systems for Increasing the Energy Efficiency of Wind Turbines
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[8] Renewable energy: Present research and future scope of Artificial Intelligence
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[12] Modeling and simulation of hybrid power system integrating wind, solar, biodiesel energies and storage battery
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[13] Notice of Retraction A comprehensive overview of configurations and power management controls of hybrid power systems
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[15] Study on Hybrid Control Design based on Fu {{y Logic for Photovoltaic Solar Systems
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[16] DIFFERENTIAL PROTECTION OF TRANSFORMER BASED ON ARTIFICIAL NEURAL NETWORK AND PROGRAMMABLE LOGIC
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[17] A comprehensive overview of configurations and power management controls of hybrid power systems
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[18] A Study on the Fuzzy-Logic-Based Solar Power MPPT Algorithms Using Different Fuzzy Input Variables
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[19] Fuzzy Controller for a Voltage-Regulated Solar-Powered MPPT System for Hybrid Power System Applications
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[20] Hybrid Renewable Energy Systems Control Based on Predictive Models and Genetic Algorithms
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[21] Energy Dispatch Fuzzy Model in Hybrid Power System
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[22] Hybrid Power Systems Energy Management Based on Artificial Intelligence
Doctoral dissertation, Manchester Metropolitan University, 2013