A STUDY OF DEEP NEURAL NETWORK CONTROLLER-BASED POWER QUALITY IMPROVEMENT OF HYBRID PV/WIND SYSTEMS BY USING SMART INVERTER

A Study of Deep Neural Network Controller-Based Power Quality Improvement of Hybrid PV/Wind Systems by Using Smart Inverter

Presently, 521 climate change and global warming are the most uncontrolled global challenges due to the extensive fossil fuel usage for power generation and transportation.Nowadays, most of the developed countries are concentrating on developing alternative resources; consequently, they did huge investments in research and development.In general, a

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Visual-Acoustic Sensor-Aided Sorting Efficiency Optimization of Automotive Shredder Polymer Residues Using Circularity Determination

To reduce the emissions and weight of vehicles, manufacturers are incorporating polymer materials into vehicles, and this has increased the difficulty in recycling End-of-Life vehicles (ELVs).About 25–30% (mass) of an ELV crushed mixture is the unrecyclable material known as automotive shredder residues (ASRs), and most of the vehicle polymer

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