AI and IOT in renewable energy / Rabindra Nath Shaw, Nishad Mendis, Saad Mekhilef, Ankush Ghosh, editors.
Shaw, Rabindra Nath, editor.; Mendis, Nishad, editor.; Mekhilef, Saad, editor.; Ghosh, Ankush, editor.
2021
Q335
Available Online

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Title AI and IOT in renewable energy / Rabindra Nath Shaw, Nishad Mendis, Saad Mekhilef, Ankush Ghosh, editors.
ISBN 9789811610110 (electronic bk.)
9811610118 (electronic bk.)
981161010X
9789811610103
DOI https://doi.org/10.1007/978-981-16-1011-0
Publication Details Singapore : Springer, 2021.
Language English
Description 1 online resource
Item Number 10.1007/978-981-16-1011-0 doi
Call Number Q335
Dewey Decimal Classification 006.3
Summary This book presents the latest research on applications of artificial intelligence and the Internet of Things in renewable energy systems. Advanced renewable energy systems must necessarily involve the latest technology like artificial intelligence and Internet of Things to develop low cost, smart and efficient solutions. Intelligence allows the system to optimize the power, thereby making it a power efficient system; whereas, Internet of Things makes the system independent of wire and flexibility in operation. As a result, intelligent and IOT paradigms are finding increasing applications in the study of renewable energy systems. This book presents advanced applications of artificial intelligence and the internet of things in renewable energy systems development. It covers such topics as solar energy systems, electric vehicles etc. In all these areas applications of artificial intelligence methods such as artificial neural networks, genetic algorithms, fuzzy logic and a combination of the above, called hybrid systems, are included. The book is intended for a wide audience ranging from the undergraduate level up to the research academic and industrial communities engaged in the study and performance prediction of renewable energy systems.
Access Note Access limited to authorized users.
Source of Description Online resource; title from PDF title page (SpringerLink, viewed May 25, 2021).
Added Author Shaw, Rabindra Nath, editor.
Mendis, Nishad, editor.
Mekhilef, Saad, editor.
Ghosh, Ankush, editor.
Series Studies in infrastructure and control.
Available in Other Form AI and IOT in renewable energy.
Linked Resources Online Access
Record Appears in Online Resources > Ebooks
All Resources
A Day Ahead Power Output Forecasting of three PV Systems using Regression, Machine Learning and Deep Learning Techniques
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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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