Artificial Intelligence of Things for Smart Green Energy Management

Bibliographic Details
Corporate Author:	SpringerLink (Online service)
Other Authors:	El Himer, Sarah (Editor), Ouaissa, Mariyam (Editor), Emhemed, Abdulrahman A. A. (Editor), Ouaissa, Mariya (Editor), Boulouard, Zakaria (Editor)
Summary:	XIII, 234 p. 150 illus., 130 illus. in color. text
Language:	English
Published:	Cham : Springer International Publishing : Imprint: Springer, 2022.
Edition:	1st ed. 2022.
Series:	Studies in Systems, Decision and Control, 446
Subjects:	Computational intelligence. Renewable energy sources. Machine learning. Computational Intelligence. Renewable Energy. Machine Learning.
Online Access:	https://doi.org/10.1007/978-3-031-04851-7
Format:	Electronic Book

Table of Contents:

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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