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AI and Iot in Renewable Energy
Shaw, Rabindra Nath ; Mendis, Nishad ; Mekhilef, Saad (Author)
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Springer
· Paperback
AI and Iot in Renewable Energy - Shaw, Rabindra Nath ; Mendis, Nishad ; Mekhilef, Saad
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Synopsis "AI and Iot in Renewable Energy"
A Day Ahead Power Output Forecasting of three PV Systems using Regression, Machine Learning and Deep Learning Techniques.- Internet of Things and Internet of Drones in the Renewable Energy Infrastructure Towards Energy Optimization.- Reinforcement Learning Algorithm to Reduce Energy Consumption in Electric Vehicles.- Spotted Hyena Optimization (SHO) Algorithm based Novel Control Approach for Buck DC-DC Converter Fed PMBLDC Motor.- Simulation and Performance Analysis of Standalone Photovoltaic System with Boost Converter Under Irradiation and Temperature.- Analysis of Variation in Locational Marginal Pricing under Influence of Stochastic Wind Generation.- Optimal Integration of Plug-In Electric Vehicles Within a Distribution Network Using Genetic Algorithm.- Frequency Control of 5kW Self-Excited Induction Generator Using Gravitational Search Algorithm and Genetic Algorithm.- Cloud Based Real-time Vibration and Temperature Monitoring System for Wind Turbine.- Smart Solar-Powered Smart Agricultural Monitoring System Using Internet of Things Devices.
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All books in our catalog are Original.
The book is written in English.
The binding of this edition is Paperback.
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