Litcius/Paper detail

Leveraging a Dynamic Differential Annealed Optimization and Recalling Enhanced Recurrent Neural Network for Maximum Power Point Tracking in Wind Energy Conversion System

P. Rajesh, S. Muthubalaji, S. Srinivasan, Francis H. Shajin

2022Technology and Economics of Smart Grids and Sustainable Energy65 citationsDOIOpen Access PDF

Topics & Concepts

Rectifier (neural networks)Control theory (sociology)Computer scienceParticle swarm optimizationDifferential evolutionArtificial neural networkGenetic algorithmMATLABVoltageRecurrent neural networkAlgorithmEngineeringArtificial intelligenceControl (management)Electrical engineeringStochastic neural networkMachine learningOperating systemWind Turbine Control SystemsMicrogrid Control and OptimizationMultilevel Inverters and Converters
Leveraging a Dynamic Differential Annealed Optimization and Recalling Enhanced Recurrent Neural Network for Maximum Power Point Tracking in Wind Energy Conversion System | Litcius