Discover how to empower your community with sustainable energy solutions with Resilient Community Microgrids, a comprehensive guide that explores the integration of innovative technologies and distributed energy resources to enhance local energy independence and resilience. Resilient Community Microgrids emphasizes opportunities to incorporate distributed energy resources and communication networks to build a cyber-physical community microgrid system by modelling photovoltaics, energy storage units, micro-turbines, and wind energy. The microgrid proves itself as a sustainable archetype to improve the resilience and reliability of power distribution networks. High-distributed energy resources penetrate communities, unlocking the potential to build the resilience of microgrids. Neighborhoods, villages, towns, and cities can meet their local energy needs by utilizing community microgrids. Community microgrids are being considered as a possibility even in locations where a bigger grid already exists, primarily as a means of boosting local energy independence and resilience. The fundamentals of community microgrids are covered in this book, along with an outline of how to join one and the factors contributing to their rising popularity. Novel technologies arrive with the potential to integrate with the physical microgrid to realize the next generation in cyber-physical microgrid systems, which can be used as a prototype to demonstrate and promote the development of next-generation microgrids. Resilient Community Microgrids will clarify the ways to enhance a cyber-physical system's resilience that significantly contributes to realizing innovative and sustainable development in the energy sector.

Table of Contents:
Preface xxiii 1 AI-Based Virtual Advisor for Smart Climate Farming 1 S. Ramanan, Mekala Sujan, Swati Kumari and O.V. Gnana Swathika 1.1 Introduction 1 1.2 Research on Smart Farming Technologies and AI Applications 6 1.3 AI and IoT in Smart Farming 13 1.4 Sustainable Agriculture and Climate-Smart Farming 18 1.5 Conclusion 24 References 25 2 Swappable Battery Pack System for Electric Two-Wheelers: Design, Infrastructure, and Implementation 31 Anibal Hadriano Akhiles Mezaib Boti, Arun Sanjey Krushna S. R., Eashwar M. V., Harsh Shekar, Sidhardh C. R. and O. V. Gnana Swathika 2.1 Introduction 32 2.2 Swappable Battery Technology 39 2.3 Battery Swapping Infrastructure and Optimization 44 2.4 Battery Management System 55 2.5 Business Models and Economic Implications 64 2.6 Conclusion 72 References 72 3 Implementation of High Gain Bidirectional Interleaved DC/DC Converter for Electric Vehicles with Supercapacitors 81 Akash Ramesh, Narendran G. and Kanimozhi G. 3.1 Introduction 82 3.2 Proposed Converter 83 3.3 Operating Principle of the HGBID Converter 83 3.4 Design Considerations 90 3.5 Characteristics of SC 91 3.6 Simulation Results 93 3.7 Conclusion 99 References 99 4 Fault Over-Ride and Minimization of Losses in a PV Integrated Transmission Network Using STATCOM 101 Gutha Naveen Kumar, A. Sindhuri, D. Siva Leela, T. Tejaswini, S. Lalitha Sri and G. V. N. Chandrika 4.1 Introduction 102 4.2 Problem Statement 103 4.3 Contingency Analysis and Contingency Selection 103 4.4 Test System, Software and Components Used 104 4.4.1 Test System and Software 104 4.4.2 PV Generators Integration 106 4.4.3 Static Synchronous Compensator (STATCOM) 106 4.5 Results and Analysis 107 4.5.1 Bus Network Integrated with Solar Photo-Voltaic Generators 107 4.5.2 Test Bus Network with One STATCOM Installed at Bus 6 108 4.6 IEEE 14 Bus Network with Two STATCOMs Installed at Bus 2 and Bus 6 112 4.7 Conclusion 117 4.8 Future Scope 117 References 117 5 Oscillating Water Column as Clean Energy Source for Sustainable Power Generation 119 Gutha Naveen Kumar, P. Manoj Venkat, S. Vasanth Prakash, A. Harish and V. Sai Srikanth 5.1 Introduction to Technology 119 5.2 Hardware Implementation 120 5.3 Three-Dimensional Design of Hardware Components in Solid Edge Software 122 5.4 Hardware Implementation Results and Performance Analysis of Oscillating Water Column (OWC) 124 5.5 Conclusion 127 5.6 Future Scope 128 References 128 6 Cloud-Based Big Data Architecture and Infrastructure 131 Shermy R. P. and Saranya N. 6.1 Introduction 132 6.2 Big Data Architecture for the Cloud Fundamentals 137 6.3 Overview of Methods for Ingesting Data, Including Batch Operations and Live Streaming 140 6.4 Technologies for Big Data on the Cloud 144 6.5 Overview of Server Less Computing and Its Benefits for Cost Optimization and Scaling 146 6.6 Big Data Architectural Models for the Cloud 149 6.7 Integration of Cloud Services and Big Data 152 6.7.1 How to Combine Big Data Platforms with Cloud Services Including Analytics, Compute and Storage 152 6.8 Examining Data Integration and ETL (Extract, Transform, Load) Methods Based on the Cloud 155 6.9 Overview of Cloud-Based Big Data Environments’ Data Governance and Metadata Management 157 6.10 Analysis of Cloud-Based Big Data Architectures’ Scalability Issues 159 6.11 Examining Vertical and Horizontal Scaling Methods to Succeed in Processing Demands and Growing Data Volumes 162 6.12 Introduction to Cloud-Based Big Data Architectures’ Performance Optimization Strategies 164 6.13 Big Data Based on the Cloud is Secure and Private 166 6.14 A Description of the Mechanisms for Data Encryption, Access Regulation and Identity Administration 169 6.15 Examination of Privacy Issues and Data Protection Laws Compliance 171 6.16 Case Studies and Real-World Applications 173 6.17 Future Directions and Trends 178 6.18 Future Developments Prediction and Scalable and Efficient Data Processing Implications 182 6.19 Conclusion 184 6.20 Emphasis on Cloud-Based Big Data Architecture and Infrastructure’s Potential for Transformation 186 6.21 Motivating Companies to Adopt Cloud-Based Big Data Technologies 187 7 RISC-V Processor Hardware Modelling with Custom Instruction Set for SHA-3 Acceleration 189 Paulson K. Antony, Nikshith Narayan Ramesh, Pranav Suryadevara and Prathiba A. 7.1 Introduction 190 7.2 State of the Art 191 7.3 Keccak Algorithm in SHA- 3 192 7.4 RISC-V Instruction Set Architecture 193 7.5 Custom Instructions for SHA-3 Hashing 195 7.6 Proposed Processor Microarchitecture 199 7.7 Results and Discussion 201 7.8 Conclusion 209 References 211 8 SSL Vulnerability Exploitation Analysis Tool to Provide a Secure and Sustainable Network for Smart Cities 215 Smita Kapse, Sayudh Deshmukh, Aditya Mandhare, Akshay Mankar, Shivam Likhar and Vaibhav Malgewar 8.1 Introduction 216 8.2 Related Work 217 8.3 Research Methodology 218 8.4 Experimental Results 220 8.5 Conclusion 223 References 223 9 Service-Oriented Smart City Vigilant Data Hub for Social Innovation 227 Nagajayanthi.B, A. Kaushal Kanna and Shubham Singh 9.1 Introduction 228 9.2 Background and Literature Review 229 9.3 App Architecture and Technology Stack 229 9.4 User Registration and Authentication 230 9.5 Features and Functionality 233 9.6 User Experience and Interface Design 237 9.7 Data Privacy and Security 239 9.8 Real-Time Updates and Push Notifications from the App 241 9.9 Scalability and Performance Optimization 241 9.10 User Engagement Analytics 243 9.11 Impact and User Engagement 243 9.12 Citizen User Flow and Admin Access User Flow 245 9.13 Conclusion 246 9.14 Future Potential 247 References 249 10 A Survey on AI & ML for Autonomous Driving, User Behavior Monitoring, and Intelligent Navigation in EVs 251 Divij Kharche, Nilankan Pal, Febin Daya J. L. and Balamurugan Parandhaman 10.1 Introduction 252 10.2 Survey Overview 254 10.3 Objectives of this Work 255 10.4 Methodologies 256 10.5 Outcome 261 10.6 Applications of the Proposed Model 263 10.7 Demonstration of Autonomous Driving Car Using Pygame 264 10.8 Conclusion 267 References 268 11 Deep Learning in Waste Management and Recycling in Digital Smart City 271 Babu Kumar S. 11.1 Introduction 272 11.2 Related Work 274 11.3 Deep Learning Applications in Waste Management 276 11.4 Methodology and Model Specifications 277 11.5 Experimental Results and Discussions 282 11.6 Conclusion 286 References 287 12 Home Automation Using Augmented Reality 289 Shiva Sri Hari Alagu Uthaya Kumar, Charan V. and Berlin Hency V. 12.1 Introduction 290 12.2 Literature Review 290 12.3 Hardware Analysis 293 12.4 Methodology 294 12.5 Results and Discussion 297 12.6 Conclusion 300 References 301 13 Detection and Mitigation Techniques for Defending DDoS Attacks in Cloud Environment 303 Archana S. Pimpalkar, S. Akshansh, Annlip Gour, Mayank Junankar and Ankita Ghule 13.1 Introduction 303 13.2 Related Literature Survey 305 13.3 Related Work 311 13.4 Conclusion 312 References 312 14 Design and Implementation of Secure MQTT Protocol for Embedded IoT Device 315 Shweta N. Jain 14.1 Introduction 315 14.2 Need for Security in IoT Device 316 14.3 Comparison Between Messaging Protocols Used in IoT Environment 316 14.4 MQTT Architecture 317 14.5 Proposed System Objective 319 14.6 Related Work 319 14.7 Conclusion and Future Scope 324 References 324 15 Internet of Things in Smart Building Management System 327 Sanjeevikumar Padmanaban, Mostafa Azimi Nasab, Mohsen Hatami, Mohammad Zand, Mohammad Ali Dashtaki and Morteza Azimi Nasab 15.1 Introduction 328 15.2 Components of Intelligent Building Management System 331 15.3 Choosing the Right Building Management System 334 15.4 Choosing a System 336 15.5 Conclusion 343 References 343 16 Comparative Study of Solid Waste Management in Rural Homestays and Urban Hotels in Sikkim, India 347 Rajani Chhetri 16.1 Introduction 348 16.2 Literature Review 351 16.3 Methodology 353 16.4 Result 355 16.5 Discussion 363 16.6 Conclusion 364 References 366 17 Load Response in the Smart Home Energy Management System 369 Muhammad Reza Ghahri, Hamid Reza Hanif, Hashmatollah Nourizadeh, Sanjeevikumar Padmanaban, Mostafa Azimi Nasab, Mohammad Zand and Morteza Azimi Nasab 17.1 Introduction 370 17.2 Active Demand Response 376 17.3 Modeling the Effects of Reimbursement of Load Response Resources 382 17.4 Conclusion 383 References 383 18 Sustainable Agriculture Using IoT Based Smart Irrigation and Intelligent Watering System 387 V. Surya Teja, R. Charitha and Sritama Roy 18.1 Introduction 388 18.2 Methods and Material 390 18.3 Problem Statement 391 18.4 Proposed Methodology 391 18.5 Simulation Results and Analysis 397 18.6 Conclusion 402 References 403 19 Assessing the Impact of Green Spaces on Climate, Air Quality and Temperature in Urbanized Areas: A Case Study of Colombo 405 Chameera Udawattha and Upuli Perera 19.1 Introduction 406 19.2 Literature Review 408 19.3 Data and Methods 417 19.4 Findings of the Study 420 19.5 Discussion and Conclusion 431 References 432 20 Weed Rate Analysis and Crop Quality Assessment Using Deep Learning 439 Vishwanadha Bhanuprakash and Sivabalakrishnan M. 20.1 Introduction 440 20.2 Overview of Deep Learning-Based Architecture 445 20.3 Deep Learning Models 452 20.4 Transfer Learning and Domain Adaption 461 20.5 Precision Agriculture System 467 20.6 Continual Research and Innovation 470 20.7 Conclusion 473 Bibliography 474 21 Synergizing Semantic Technology and Deep Learning for Transformative Advances in Digital Agricultural Systems 475 Shridevi S., Dhivya M. and Ratan Pyla 21.1 Introduction 475 21.2 Semantic Web Technology in Agriculture 477 21.3 Deep Learning in Agriculture 483 21.4 Semantic Deep Learning in Agriculture 489 21.5 Conclusion 492 References 492 22 Smart Agriculture Systems 497 S. Aravind, P. Vineesha, K. Revathi and Yeligeti Raju 22.1 Introduction 498 22.2 Methodology 498 22.3 User Interface 500 22.4 Implementation 502 22.5 Benefits 504 22.6 Resource Efficiency 505 22.7 Environmental Impact 505 22.8 Cost-Benefit Analysis 506 22.9 Conclusion 507 Bibliography 508 23 Berklekamp-Massey Algorithm in Reed Solomon Error Detection Technique for Smart Grid Applications 509 Cladien P., Rayapudi Chandrika, PriyaDharshini R., V. Berlin Hency and O.V. Gnana Swathika 23.1 Introduction 510 23.2 Methodology 511 23.3 Proposed Method 516 23.4 Results and Discussion 517 23.5 Conclusion 518 References 519 24 Economically Viable Solar–Wind Hybrid Power Generation System for Small- and Medium-Scale Applications 523 Gutha Naveen Kumar and Narsipuram Maharshi 24.1 Introduction 524 24.2 Proposed Model 525 24.3 Implementation of Hybrid Scheme 528 24.4 Working 529 References 539 25 Modified Booth Multiplier with Hybrid Adder 541 Cladien P., Rayapudi Chandrika, V. Berlin Hency and O.V. Gnana Swathika 25.1 Introduction 541 25.2 Methodology 543 25.3 Proposed Architecture 546 25.4 Results and Discussion 549 25.5 Conclusion 550 References 551 26 Novel Bidirectional Converter Topology for Electric Vehicle Onboard Battery Charger 553 Kanimozhi G. and Mirasree P. 26.1 Introduction 554 26.2 Bidirectional Charger Topology with Interleaved Boost Converter 556 26.3 Circuit Operation of the Charger 557 26.4 Modes of Operation 558 26.5 Design Approach 560 26.6 Simulation Result 560 26.7 Comparative Analysis 564 26.8 Conclusion 565 References 566 Index 569