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Intelligent and Soft Computing Systems for Green Energy

Edited by A. Chitra, V. Indragandhi, and W. Razia Sultana
Copyright: 2023   |   Status: Published
ISBN: 9781394166374  |  Hardcover  |  
348 pages
Price: $225 USD
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One Line Description
Written and edited by some of the world’s top experts in the field, this exciting new volume provides state-of-the-art research and latest technological breakthroughs in next-generation computing systems for the energy sector, striving to bring the science toward sustainability.

Audience
Engineers, scientists, students, faculty, and other industry professionals

Description
Real-world problems need intelligent solutions. Across many industries and fields, intelligent and soft computing systems, using such developing technologies as artificial intelligence and Internet of Things, is quickly becoming an important tool for scientists, engineers, and other professionals for solving everyday problems in practical situations.

This book aims to bring together the research that has been carried out in the field of intelligent and soft computing systems. Intelligent and soft computing systems involves the expertise from various domain of researchers such as electrical engineering, computer engineering, and mechanical engineering. This book will serve as a point of convergence wherein all these domains come together.

The various chapters are configured by order to address the challenges faced in intelligent and soft computing systems from various fields and possible solutions. Th outcome of this book can serve as a potential resource for industrial professionals and researchers working in the domain of intelligent and soft computing systems. To list a few soft computing techniques, neural based load forecasting, IoT enabled smart grids and block chain technology for energy trading. Whether for the veteran engineer or the student learning the latest breakthroughs, this exciting new volume is a must-have for any library.

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Author / Editor Details
A. Chitra is an associate professor in the School of Electrical Engineering, at Vellore Institute of Technology, Vellore, India. She has published many papers in reputed journals and conferences and is a Board of Studies member at Pondicherry Engineering College, where she received a Gold Medal while studying for her MTech and also where she earned her PhD.

V. Indragandhi, PhD, is an associate professor in the School of Electrical Engineering, VIT, Vellore, Tamilnadu. She received her PhD from Anna University in Chennai, India. She has over 12 years of experience in the area of power electronics and renewable energy systems and has authored over 100 research articles in leading peer-reviewed international journals. She has filed three patents and has one book to her credit. She has also received the best researcher award from NFED, Coimbatore and from VIT.

W. Razia Sultana, PhD, is an associate professor in the School of Electrical Engineering, at the Vellore Institute of Technology University, Vellore, Tamil Nadu, India, where she also received her PhD.

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Table of Contents
Preface
1. Placement and Sizing of Distributed Generator and Capacitor in a Radial Distribution System Considering Load Growth
G. Manikanta, N. Kirn Kumar, Ashish Mani and V. Indragandhi
1.1 Introduction
1.2 Problem Formulation
1.3 Algorithm
1.4 Results & Discussions
1.5 Discussion
1.6 Conclusions
References
2. Security Issues and Challenges for the IoT-Based Smart Grid
Prathiga, Kavya K., Nanthitha N., Nithishkumar K., Ritika T. and Vishal T.
2.1 Introduction
2.2 Usage of IoT in the Smart Grid Context
2.3 Advantages of IoT-Based Smart Grid
2.4 Cybersecurity Challenges
2.4.1 Review of Recent Attacks
2.4.1.1 Tram Hack Lodz, Poland
2.4.1.2 Texas Power Company Hack
2.4.1.3 Stuxnet Attack on Iranian Nuclear Power Facility
2.4.1.4 Houston, Texas, Water Distribution System Attack
2.4.1.5 Bowman Avenue Dam Cyberattack
2.5 Other Major Challenges Hindering Growth of IoT Network
2.5.1 Standardization Protocols
2.5.2 Cognitive Capability
2.5.3 Power
2.5.4 Consumer Illiteracy
2.5.5 Weak Regulations
2.5.6 Fear of Reputational Damage
2.6 Future Prospects
2.7 Conclusion
References
3. Electrical Load Forecasting Using Bayesian Regularization Algorithm in Matlab and Finding Optimal Solution via Renewable Source
Chinmay Singh, Yashwant Sawle, Navneet Kumar, Utkarsh Jha and Arunkumar L.
3.1 Introduction
3.2 Algorithm
3.2.1 Levenberg-Marquardt Algorithm
3.2.2 Bayesian Regularization
3.2.2.1 Comparison of Bayesian Models
3.2.2.2 Bayesian Ways to Neural Network Modeling
3.2.3 Scaled Conjugate Gradient Algorithm
3.2.3.1 Steps of Algorithm
3.2.4 Gradient Descent
3.2.5 Conjugate Gradient
3.3 Methodology and Modelling
3.4 Results and Discussion
3.5 Conclusion
References
4. Theft Detection Sensing by IoT in Smart Grid
N. Siva Mallikarjuna Rao, M. Ramu and Lekha Varisa
4.1 Introduction
4.1.1 Power Theft Identification
4.1.2 Basic Structure of Smart Grid
4.2 Problem Identification
4.2.1 Power Theft Methods
4.3 Methodology for Implementation of IoT to Different Theft Mechanisms in Smart Grid
4.4 Conclusion
4.5 Future Work
References
5. Energy Metering and Billing Systems Using Arduino
M. Ramu, Lekha Varisa and N. Siva Mallikarjuna Rao
5.1 Introduction
5.2 Smart Meters and Billing Systems
5.2.1 Arduino Mega
5.2.2 LCD
5.2.3 Proteus Software
5.3 Working
5.4 Applications
5.5 Time of Use
5.6 Observations
5.7 Equations
5.8 Results
5.9 Adoption in India
5.10 Excess Generation of Electricity
5.11 Commercial Use & Home Energy Monitoring
5.12 Conclusion
References
6. Smart Meter Vulnerability Assessment Under Cyberattack Events – An Attempt to Safeguard
Kunal Kumar and R. Raja Singh
6.1 Introduction
6.2 Advanced Metering Infrastructure Architecture
6.2.1 Smart Meter Architecture and Design
6.2.2 AMI Communication Network
6.2.3 Home Area Network
6.2.4 Data Concentrator
6.3 Possible Attacks on AMI
6.3.1 Manual Attacks
6.3.2 Cyberattacks
6.3.3 Threats and Countermeasures of Attacks on Smart Meter
6.4 RSA Attack Detection Model
6.4.1 RSA Keys Creation
6.5 Hash Code for Data Integrity
6.6 Results and Discussion
6.6.1 Attack Detection System
6.6.2 Python Implementation
6.7 Conclusion
References
7. Power Quality Improvement for Grid-Connected Hybrid Wind-Solar Energy System Using a Three-Phase Three-Wire Grid-Interfacing Compensator
Boopathi R. and Dr. Indragandhi V.
7.1 Introduction
7.2 Proposed Current Control System
7.3 Simulation Analysis and Discussion
7.4 Conclusion
References
8. Energy Trading in Virtual Power Plant Enabled Communities Using Double Auction Technique and Blockchain Technology
Radhika Yadav, Balla Manoj Kumar, Saurav Baid and Padma Priya R.
8.1 Introduction
8.2 Related Work
8.3 Proposed Methodology
8.3.1 System Model
8.3.2 Problem Formulation
8.3.2.1 Objective 1 (Optimum Reimbursements for both the Traders)
8.3.2.2 Objective 2 (Shortest Line Routing System)
8.3.2.3 Utility Function (Maximum Social Welfare)
8.3.3 Our Approach
8.3.3.1 Double Auction
8.3.3.2 Shortest Line Route Detection
8.3.3.3 Blockchain
8.3.3.4 ElGamal Cryptography
8.4 Performance Evaluation
8.4.1 Evaluation Methodology
8.4.2 Evaluation Results
8.5 Conclusion
References
9. Sales Demand Forecasting for Retail Marketing Using XGBoost Algorithm
M. Kavitha, R. Srinivasan, R. Kavitha and M. Suganthy
9.1 Introduction
9.2 Related Work
9.3 Methodology
9.3.1 XGBoost Algorithm
9.3.2 Architecture
9.4 Experimental Results
9.4.1 Exploratory Data Analysis
9.4.1.1 Empirical Cumulative Distribution Function (ECDF)
9.4.1.2 Exploring the Dataset and Making Visualizations between Months and Sales
9.4.1.3 Correlation between each Feature or Attribute
9.4.1.4 Time Series Analysis
9.4.2 Model Prediction
9.5 Conclusion
References
10. Region-Based Convolutional Neural Networks for Selective Search
R. Kavitha, Srinivasan R, P. Subha and M. Kavitha
10.1 Introduction
10.2 Literature Review
10.3 Existing Method
10.4 Proposed Methodology
10.5 Implementation and Results
10.6 Conclusion
References
11. Design and Development of Mobility System for Double Amputees
Dr. Saravanan T S, Dr. Sagayaraj R, Dr. Sivaraman P R, Sivamani D, Jaiganesh R and Ragupathy P
11.1 Introduction
11.2 Block Diagram
11.3 Working Methodology
11.4 Design Calculation
11.5 Hardware Implementation
11.6 Conclusion
References
12. A Review: Precision Vehicle Control Using Internet of Things
R. Srinivasan, Kavitha R, Kavitha M and Sridhar K
12.1 Introduction
12.2 Related Works
12.3 Proposed Work
12.4 Existing System
12.4.1 Advantages
12.4.2 Disadvantages
12.4.3 Applications
12.5 Proposed System
12.6 Conclusion and Future Enhancement
References
13. A Process of Analyzing Soil Moisture with the Integration of Internet of Things and Wireless Sensor Network
R. Srinivasan, Kavitha R, V. Murugananthan and T. Mylsami
13.1 Introduction
13.1.1 WSN
13.1.2 IoT
13.2 Literature Study
13.3 Proposed Work
13.3.1 Sensing and Transmitter Module
13.3.2 Receiver Unit
13.3.3 IoT Activation
13.3.4 Event Recognition Algorithm [4]
13.4 Result and Discussion
13.5 Conclusion
References
14. Automatic Angular Position Stabilization of Ambulance Stretcher in Real Time
Vedant Joshi, Maheshwari S. and Kathirvelan J.
14.1 Introduction
14.2 Materials and Methods
14.2.1 Interior and Flaws
14.2.2 Proposed Position of the Stretcher
14.2.3 Hardware and Software
14.2.4 Methodology
14.3 Results and Discussion
14.3.1 Results
14.4 Discussion
14.5 Conclusion
References
15. Automated Ploughing Seeding with Water Management System
Anto Sheeba J., Shyam D., Sivamani D., Sangari A., Jayashree K. and Nazar Ali A.
15.1 Introduction
15.2 Block Diagram
15.3 Working Methodology
15.4 Design Calculation
15.5 Simulation
15.6 Hardware Implementation
15.7 Conclusion
References
16. Detecting Fraudulent Data Using Stacked Auto-Encoding: A Three-Layer Approach
P. Saravanan, V. Indragandhi and V. Subramaniyaswamy
16.1 Introduction
16.1.1 Deep Learning
16.1.2 Auto-Encoders
16.2 Related Work
16.3 Proposed Methodology
16.4 Results and Discussion
16.5 Conclusion
Acknowledgment
References
17. Artificial Intelligence-Based Ambulance
Dr. R. Sumathi, R.M. Gokul, M. Gokulakrishnan, K. Ganesh Babu and S. Pavithra
17.1 Introduction
17.1.1 Problem Statement
17.1.2 Field of the Project
17.1.3 Objectives
17.2 Proposed System
17.2.1 Block Diagram of Traffic Signal Control System
17.2.2 Block Diagram of Biometric-Based Medical Records
17.3 Implementation of Traffic Signal Control System
17.3.1 Flowchart of Traffic Signal Control System
17.3.2 Algorithm of Biometric-Based Medical Records System
17.3.3 Methodology of Traffic Signal Control System
17.3.3.1 Normal Mode
17.3.3.2 Emergency Mode
17.3.4 Methodology of Biometric-Based Medical Records System
17.3.4.1 SMPT
17.4 Result and Discussion
17.4.1 Comparison of Results
17.4.2 Hardware Result
17.5 Conclusion
17.6 Future Scope
References
18. LoRa-Based Flaw Location Detection in HT Line Using GSM
Dr. M. Senthilkumar, Abisheck D., Gnana Prakash K., Hari Babu S. and Hariharan R.
18.1 Introduction
18.1.1 Different Types of Transmission Line Fault
18.1.1.1 Single Line-to-Ground Fault
18.1.1.2 Line-to-Line Fault
18.1.1.3 Double Line-to-Ground Fault
18.1.1.4 Balance Three-Phase Fault
18.2 Objective
18.3 Literature Survey
18.4 Proposed System
18.5 Flow Chart
18.6 Result and Discussion
18.7 Novelty of Work
18.8 Conclusion
18.9 Future Enhancement
References
19. Classification Models for Breast Cancer Detection
Varsha B., Sneka P., Tanuja A. and Shana J.
19.1 Introduction
19.2 Related Work
19.3 Research Objective
19.4 Methodology
19.4.1 Dataset Description
19.4.2 Data Preprocessing
19.4.3 Exploratory Data Analysis
19.5 Model Selection
19.5.1 Logistic Regression
19.5.2 Decision Tree Classifier
19.5.3 Random Forest Classifier
19.6 Results and Discussion
19.6.1 Confusion Matrix
19.6.2 Model Evaluation and Prediction
19.7 Conclusion
References
20. T-Count Optimized Quantum Comparator Circuit
Gayathri S. S., R. Kumar and Samiappan Dhanalakshmi
20.1 Introduction
20.2 Related Works
20.3 Proposed Quantum Comparator
20.3.1 Multi-Qubit Magnitude Comparator
20.4 Conclusion
References
21. IoT-Based Heart Rate Monitoring System for Smart Healthcare Applications
Jaba Deva Krupa Abel, Samiappan Dhanalakshmi, Sanjana N.L. and R. Kumar
21.1 Introduction
21.2 Related Work
21.3 Methodology
21.3.1 Fractional Fourier Transform
21.3.2 Amazon Web Services
21.4 Results and Discussion
21.5 Conclusion
References
22. Neural Collaborative Filtering-Based Hybrid Recommender System for Online Movies Recommendation
S. Priyanka, P. Saravanan, V. Indragandhi and V. Subramaniyaswamy
22.1 Introduction
22.2 Related Works
22.3 Proposed Methodology
22.3.1 Dataset Used for the Proposed System
22.3.2 Architecture Diagram
22.3.3 Sentiment Analysis
22.3.4 Hybrid Recommendation
22.3.4.1 Filtering Based on Content
22.3.4.2 Collaborative Filtering
22.3.5 Neural Collaborative Filtering (NCF)
22.3.6 User-Based Recurrent Neural Networks (RNN)
22.4 Results and Discussion
22.5 Conclusion and Future Work
References
23. Farmer’s Eye Using CNN
Elam Cheren S., Yuvan Raj Kumar M., Vivek G., Udhayakumar N. and Saravanakumar M. V.
23.1 Introduction
23.2 Related Works
23.3 PV Module
23.4 Hardware Description
23.5 Software Implementation
23.6 Hardware Implementation
23.7 Conclusion
References
24. Solar Powered Density and Emergency-Based Traffic Control System Using NI LabVIEW
M. Devika Rani, G. Bhavani, K. Kartheek, A. Sindhura and D. Nikhila
24.1 Introduction
24.2 Literature Review
24.3 Methodology
24.3.1 Block Diagram
24.3.2 LabVIEW
24.4 Components
24.4.1 Main Components
24.4.1.1 Solar Panel
24.4.1.2 Battery
24.4.1.3 Buck Converter
24.4.1.4 IR Sensor
24.4.1.5 NI my RIO
24.4.1.6 NPN Transistor
24.4.1.7 Glue Sticks
24.4.1.8 Heat Sink Slive Tubes
24.4.1.9 Toggle Switch
24.4.2 Supporting Components
24.4.2.1 Connecting Pins
24.4.2.2 LEDS
24.5 Result
24.5.1 SIM View
24.6 Implementation of Hardware Components
24.7 Conclusion
Applications
References
25. Observation of TCSU: Travel Cold Storage Unit Operated by SPV Technology
Devesh Umesh Sarkar, Tapan Prakash, Madhur Zadegaonkar, Ritu Bhimgade, Abhijeeta Gupta and Nidhi Ambekar
25.1 Introduction
25.2 Working Methodology
25.3 Tools & Platform
25.4 Design & Implementation
25.5 Advantages & Application
25.6 Conclusion
References
Index

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Description
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Table of Contents
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