Artificial Intelligence of Things for Smart Green Energy Management (Studies in Systems, Decision and Control, 446)

Preface
Contents
About the Editors
Artificial Intelligence of Things (AIoT) for Renewable Energies Systems
	1 Introduction
	2 Role of Internet of Things in Renewable Energy
		2.1 Internet of Things
		2.2 IoT in the Energy Sector
	3 Role of Artificial Intelligence in Renewable Energy
		3.1 Artificial Intelligence
		3.2 Renewable Energy Systems and ANN Applications
	4 AIoT System
		4.1 AIoT’s Advantages in Distributed Energy Resources
	5 Conclusion
	References
Design of a Switching Module for Electricity Supply from Solar to Grid by Sensing Light Intensity
	1 Introduction
	2 Proposed Methodology
		2.1 Magnetic Contractor
		2.2 Miniature Circuit Breaker
		2.3 Temperature and Light Sensor/Solar Switch
		2.4 Solar Hybrid Inverter
		2.5 Photovoltaic Modules
	3 Results and Discussion
	4 Conclusion
	References
Nonlinear Backstepping Control of a Grid-Connected Doubly Fed Induction Generator Wind Turbine
	1 Introduction
	2 Wind Power Plant System Components Modeling
		2.1 Wind Turbine (WT) Modeling
		2.2 DFIG Modeling
		2.3 MPP Strategy
	3 Indirect Vector Control for the WECS
		3.1 Rotor Side Converter Control
		3.2 Grid Side Power Converter Control
	4 Backstepping Control Applied for the WECS
		4.1 Backstepping Overview
		4.2 Application of Backstepping for MPP
		4.3 Application of Backstepping for RSC
		4.4 Application of Backstepping for GSC and DC Link Voltage
	5 Simulation Results
	6 Conclusion
	Appendix
	References
Improving LVRT Capability of a Wind Turbine During a Voltage Sag in the Electrical Network
	1 Introduction
	2 Voltage Dips
		2.1 Definition and Characterization of a Voltage Dips
		2.2 Origin of a Voltage Dips
		2.3 Limit Zone of Voltage Dips Supported by WTs
	3 Modeling of the Wind Energy System
		3.1 Modeling of the Wind Turbine
		3.2 Modeling of the DFIG
	4 DPC Control
	5 Simulation Results and Discussions
	6 Conclusion
	References
Optimization of Two Hybrid Micro-Concentrator Photovoltaic Systems for Car-Roof Application
	1 Introduction
	2 Physical Variables Definition
	3 Simulation Results
		3.1 Optimization of Fresnel Lens
		3.2 Modeling of the SOEs
		3.3 Simulation Results
	4 Conclusion
	References
Machine Learning-Based Maximum Power Point Tracking Technique for Concentrated PV/TEG System Under Non-uniform Environmental Conditions
	1 Introduction
		1.1 Literature Review
	2 Modelling of PV Cell and TEG Module
		2.1 PV Cell Model
		2.2 TEG Model
		2.3 Concentrated PV/TEG Module
		2.4 Non-uniform Conditions
	3 Proposed Technique
		3.1 Chaos Game Optimization Algorithm (CGO)
		3.2 General Regression Neural Network
		3.3 Neural Network Training Using a Bio-Inspired Algorithm for MPPT Control
	4 Results and Discussion
		4.1 Case 1: Varying Conditions
		4.2 Case 2: Non-Uniform Conditions
		4.3 Case 3: Non-Uniform Conditions
		4.4 Performance Evaluation
	5 Conclusion
	References
Two-Dimensional Nanomaterials for Solar Cell Technology
	1 Introduction
	2 Methods and Calculation Details
	3 Results and Discussion
		3.1 Electronic Properties
		3.2 Optical Properties
		3.3 Photovoltaic Efficiency of Two-Dimensional Semiconductors
	4 Conclusion
	References
Improving Control for an Induction Machine Using Artificial Intelligence
	1 Introduction
	2 Modelling of an Induction Machine
		2.1 Construction
		2.2 Mathematical Representation of an Induction Machine
		2.3 Electrical Equation
		2.4 Magnetic Equation
		2.5 Equations of Power and Torque
		2.6 Mechanical Equation
	3 Model of an Induction Machine
		3.1 Simulations
	4 Control of an Induction Machine
		4.1 Principles of Direct Torque Control of Induction Motor
		4.2 Direct Torque Control Model
		4.3 Result of Simulation
	5 Artificial Intelligent Control of an Induction Machine
		5.1 Direct Torque Control by Fuzzy Logic
		5.2 Error Flux
		5.3 The Torque Error
		5.4 Flux Angle Θs
		5.5 Fuzzy Rules
		5.6 Voltage Membership Functions
		5.7 Simulations Results
	6 Conclusion
	References
Evaluation of the Recommended Algorithms in the Internet of Things
	1 Introduction
	2 Related Works
	3 Design and Implementation
		3.1 Use Case
		3.2 Wireless Sensor Networks and Internet-of-Things
	4 Limited IoT Device
	5 Lightweight Algorithms
	6 Symmetric Algorithms
	7 Measurement Tools
	8 Results and Analysis
		8.1 Results of Implementation of Symmetric Algorithms
	9 Conclusion
	10 Future Work
	References
Exposing Applications of IoT in Green Computing
	1 Introduction
	2 Exposing Applications of IoT in Green Computing
	3 IoT in Green Computing—Challenges and Issues
	4 Conclusion
	References
IoT Safe Area: An Innovative Approach for a Smart Decentralized and Hybrid Decision Support Process for Industrial Warehousing
	1 Introduction
	2 Related Works on Logistic Issues in WMS and CPPS
		2.1 Warehousing Operations
		2.2 Safety and Product-Centered Approach
	3 Hybrid Decision Making-Aided Model for WMS
		3.1 Logistic Decision Making: Centralized Phase
		3.2 Decentralized Warehousing Control
	4 Smart IoT-Controlled Safe Area New Concept
	5 Conclusion
	References
Application of Artificial Intelligence (AI) in Supply Chain: An Overview
	1 Introduction
	2 Definitions of AI
	3 Application of AI Across Supply Chain
		3.1 Suppliers
		3.2 Manufacturers
		3.3 Logistics
		3.4 Retailers
		3.5 Consumers
	4 Benefits of AI Applications in a Supply Chain
	5 Conclusion, Limitations and Future Scope
	References
Acorn Waste Valorization as Reinforcement in Polystyrene Composite: A Comparative Study
	1 Introduction
	2 Materials and Methods
		2.1 Materials
		2.2 Synthesis of Polystyrene
		2.3 Synthesis of Composites
		2.4 Particles from Acorn Pericarp and Cupule
	3 Characterization
		3.1 Fourier Transform Infrared (FTIP)
		3.2 The XRD in Powder
		3.3 The Thermal Stability Was Determined Using TGA/the Thermogravimetric Analysis
		3.4 MEB Analysis, the Surface Morphology of PS/AP, AC
	4 Results and Discussions
		4.1 Effect on Morphology: Scanning Electron Microscopy (SEM)
		4.2 Effect on Crystallography: X-ray
		4.3 Effect on the Structure of PS: FTIR
		4.4 Effect on Thermal Stability: TGA
	5 Conclusion
	References
Design and Analysis of a Smart Anti-lock Braking System
	1 Introduction
	2 Types of Anti-lock Braking Systems
		2.1 Three-Channel, Three-Sensor ABS
		2.2 One-Channel, One-Sensor ABS
	3 Working of an ABS System
	4 Modelling of Quarter Vehicle
	5 Smart Control Algorithm
		5.1 SMART ABS Algorithm
		5.2 Brake Torque
	6 Results and Discussion
	7 Conclusion
	References