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AI and Iot in Renewable Energy (2021)

Contributor(s): Shaw, Rabindra Nath (Editor), Mendis, Nishad (Editor), Mekhilef, Saad (Editor), Ghosh, Ankush (Editor)

ISBN: 9789811610134

Publisher: Springer

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Pub Date: May 14, 2022

Lexile Code: 0000

Features: Illustrated

Target Age Group: NA to NA

Physical Info: 0.26" H x 9.21" L x 6.14" W ( 0.41 lbs) 109 pages

Series: Studies in Infrastructure and Control

Descriptions, Reviews, etc.

Description: 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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