Artificial intelligence of things for smart green energy management
著者
書誌事項
Artificial intelligence of things for smart green energy management
（Studies in systems, decision and control / series editor Janusz Kacprzyk, v. 446）
Springer, c2022
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注記
Includes bibliographical references
内容説明・目次
内容説明
This book is intended to assist in the development of smart and efficient green energy solutions. It introduces energy systems, power generation, and power demands which able to minimise generation costs, power loss or environmental effects.
It proposes cutting-edge solutions and approaches based on recent technologies such as intelligent renewable energy systems (wind and solar). These solutions, applied to different sectors, can provide a solid basis for meeting the needs of both developed and developing countries.
The book provides a collection of contributions including new techniques, methods, algorithms, practical solutions and models based on applying artificial intelligence and the Internet of things into green energy management systems. It provides a comprehensive reference for researchers, scholars and industry in the field of green energy and computational intelligence.
目次
Artificial Intelligence of Things (AIoT) for Renewable Energies Systems.- Design of a Switching Module for Electricity Supply from Solar to Grid by Sensing Light Intensity.- Nonlinear Backstepping Control of a Grid-Connected Doubly Fed Induction Generator Wind Turbine.- Improving LVRT Capability of a Wind Turbine During a Voltage Sag in the Electrical Network.- Optimization of Two Hybrid Micro-Concentrator Photovoltaic Systems for Car-Roof Application.- Machine Learning-based Maximum Power Point Tracking Technique for Concentrated PV/TEG System under Non-Uniform Environmental Conditions.- Two-Dimensional Nanomaterials for Solar Cell Technology.- Improving Control for an Induction Machine using Artificial Intelligence.- Evaluation of the Recommended Algorithms in the Internet of Things.- Exposing Applications of IoT in Green Computing.
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