Cyber Physical Energy Systems

Cyber Physical Energy Systems

Detalles Bibliográficos
Autor principal: Sagar, Shrddha (-)
Otros Autores: Poongodi, T., Dhanaraj, Rajesh Kumar, Padmanaban, Sanjeevikumar
Formato: Libro electrónico
Idioma:Inglés
Publicado: Newark : John Wiley & Sons, Incorporated 2025.
Edición:1st ed
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009872234206719
Tabla de Contenidos:
  • Cover
  • Series Page
  • Title Page
  • Copyright Page
  • Contents
  • Preface
  • Chapter 1 Cyber-Physical Systems: A Control and Energy Approach
  • 1.1 Introduction
  • 1.1.1 Background and Motivation
  • 1.1.2 Testbeds, Revisions, and a Safety Study for Cyber-Physical Energy Systems
  • 1.1.3 CPES Test Chamber
  • 1.1.4 Significance and Contributions of Testbed
  • 1.1.5 Testbed Setup
  • 1.1.6 Illustration of Hybrid CPES Testbed Structure
  • 1.2 Studies on CPES Safety
  • 1.2.1 Attacks in the CPES System
  • 1.2.2 Evaluation of Attack Impacts on CPES
  • 1.2.3 CPES's Assault Detection Algorithms
  • 1.2.4 CPES's Assault Mitigation and Defense Systems
  • 1.2.5 Dangerous Imagery
  • 1.2.6 Attack Database
  • 1.3 Threat Evaluation
  • 1.4 Theory of Cyber-Physical Systems Risk
  • 1.4.1 Challenger Type
  • 1.4.2 Attack Type
  • 1.5 Threat Evaluation Methodology
  • 1.5.1 Cyber-System Layer
  • 1.5.2 Physical-System Layer
  • 1.6 Experimental Setup for Cross-Layer Firmware Threats
  • 1.6.1 Risk Model
  • 1.6.2 Threat Evaluation
  • 1.7 Conclusion
  • References
  • Chapter 2 Optimization Techniques for Energy Management in Microgrid
  • 2.1 Introduction
  • 2.1.1 Microgrid Systems
  • 2.1.2 Energy Management System
  • 2.1.3 Energy Management of Distribution System
  • 2.1.4 Techniques to Take Into Account While Implementing the EMS
  • 2.1.5 Strategies for Reducing Risk
  • 2.1.6 Monitoring Power Systems
  • 2.1.7 Demand Response, Price Strategy, and Demand Side Management
  • 2.2 Explanation Methods for EMS
  • 2.3 EQN EMS on an Arithmetic Optimization Basis
  • 2.4 Heuristic-Oriented Methods to EMS Problem-Solving
  • 2.5 EMS Solution Techniques Using Meta-Heuristics
  • 2.6 Alternative EMS Implementation Strategies
  • 2.6.1 SCADA System
  • 2.7 Conclusion and Viewpoints
  • References
  • Chapter 3 Cyber-Physical Energy Systems for Smart Grid: Reliable Distribution
  • 3.1 Introduction.
  • 3.1.1 Need for Sustainable and Efficient Power Generation Through Smart Grid Technology and Cyber-Physical Technologies
  • 3.1.2 CPES: The Integration of Physical and Digital Worlds
  • 3.2 Cyber-Physical Energy Systems (CPES)
  • 3.3 Forming Energy Systems
  • 3.4 Energy Efficiency
  • 3.4.1 CPES Usage on Smart Grids
  • 3.5 Smart Grids
  • 3.6 Cyber-Physical Systems
  • 3.7 SG: A CPS Viewpoint
  • 3.7.1 Challenges and Solutions for Coordinating Smart Grids and Cyber-Physical Systems
  • 3.7.2 Techniques of Correspondence
  • 3.7.3 Data Protection
  • 3.7.4 Data Skill and Engineering
  • 3.7.5 Distributed Computation
  • 3.7.6 Distributed Intellect
  • 3.7.7 Distributed Optimization
  • 3.7.8 Distributed Controller
  • 3.8 Upcoming Prospects and Contests
  • 3.8.1 Big Data
  • 3.8.2 Cloud Computing
  • 3.8.3 IoT
  • 3.8.4 Network Science
  • 3.8.5 Regulation and Guidelines
  • 3.9 Conclusion
  • References
  • Chapter 4 Evolution of AI in CPS: Enhancing Technical Capabilities and Human Interactions
  • 4.1 Introduction to Cyber-Physical System
  • 4.2 The Cyber-Physical Systems Architecture
  • 4.2.1 5C Architecture or CPS
  • 4.2.1.1 Connection
  • 4.2.1.2 Conversion
  • 4.2.1.3 Cyber
  • 4.2.1.4 Knowledge
  • 4.2.1.5 Configuration
  • 4.3 Cyber-Physical Systems as Real-Time Applications
  • 4.3.1 Robotics Distributed
  • 4.3.2 Manufacturing
  • 4.3.3 Distribution of Water
  • 4.3.4 Smart Greenhouses
  • 4.3.5 Healthcare
  • 4.3.6 Transportation
  • 4.4 Impact of AI on Cyber-Physical Systems
  • 4.5 Policies
  • 4.6 Expected Benefits and Core Promises
  • 4.7 Unintended Consequences and Implications for Policy
  • 4.7.1 Negative Social Impacts
  • 4.7.2 Cybersecurity Risks
  • 4.7.3 Impact on the Environment
  • 4.7.4 Ethical Issues
  • 4.7.5 Policy Implications
  • 4.8 Employment and Delegation of Tasks
  • 4.9 Safety, Responsibility, and Liability
  • 4.10 Privacy Concerns.
  • 4.10.1 Data Collection and Use
  • 4.10.2 Data Security
  • 4.10.3 Data Sharing
  • 4.10.4 Bias and Discrimination
  • 4.10.5 User Empowerment
  • 4.11 Social Relations
  • 4.11.1 Cyber-Physical Systems and Transport
  • 4.11.2 Trade of Dual-Use Technology
  • 4.11.3 Civil Liberties (Data Protection, Privacy, etc.)
  • 4.11.4 Safety (Such as Risk Analysis, Product Safety, etc.)
  • 4.11.5 Healthcare (Medical Devices, Clinical Trials, and E-Health Devices)
  • 4.11.6 Energy and Environment
  • 4.11.7 Horizontal Legal Issues (Cross-Committee Considerations)
  • 4.12 Economic Study on CPS
  • 4.12.1 Better Resource Allocation
  • 4.12.2 Enhanced Marketability
  • 4.12.3 Robustness and Resilience
  • 4.12.4 Regulatory Compliance
  • 4.12.5 Making Decisions in Real-Time
  • 4.13 Case Studies
  • 4.13.1 The Daily Lives of Older Persons and Disabled Individuals with CPS
  • 4.13.2 CPS in Healthcare
  • 4.13.3 CPS for Security and Safety
  • 4.14 Conclusion
  • References
  • Chapter 5 IoT Technology Enables Sophisticated Energy Management in Smart Factory
  • 5.1 Introduction
  • 5.2 IOT Overview
  • 5.2.1 The Evolution of the Internet
  • 5.2.2 IoT Sensing
  • 5.2.3 IOT Data Protocol and Architecture
  • 5.3 IOT Enabling Technology
  • 5.3.1 Application Domain
  • 5.3.2 Middleware Domain
  • 5.3.3 Network Domain
  • 5.3.4 Object Domain
  • 5.4 IOT in Energy Sector
  • 5.4.1 Internet of Things and Energy Generation
  • 5.5 Challenges of Applying IOT
  • 5.6 Reference Architecture for IoT-Based Smart Factory
  • 5.7 Characteristics of Smart Factory
  • 5.8 Challenges for IoT-Based Smart Industry
  • 5.9 How IoT Will Support Energy Management in Smart Factory
  • 5.10 IoT Energy Management Architecture for Industrial Applications
  • 5.10.1 IoT-Based Energy Management Technology
  • 5.10.2 Energy Harvesting
  • 5.11 Case Study: Smart Factory
  • 5.11.1 Supply Side
  • 5.11.2 Photovoltaic Power Generation.
  • 5.11.3 Smart Micro-Grid
  • 5.11.4 Demand Side
  • 5.11.5 Virtualization
  • 5.12 Conclusion
  • References
  • Chapter 6 IOT-Based Advanced Energy Management in Smart Factories
  • 6.1 Introduction
  • 6.2 Smart Factory Benefits of IOT-Based Advanced Energy Management
  • 6.3 Role of IOT Technology in Energy Management
  • 6.4 Developing an IOT Information Model for Energy Efficiency
  • 6.5 Integrating Intelligent Energy Systems (IES) and Demand Response (DR)
  • 6.6 How to Accurately Measure and Manage Your Energy Usage
  • 6.7 Introduction to Energy Efficiency Measures
  • 6.8 Identifying Opportunities to Reduce Energy Use
  • 6.9 Monitoring and Measuring Energy Usage
  • 6.10 Establishing Accounting and Incentives
  • 6.11 Sustaining the Long-Term Benefits of Optimized Energy Usage
  • 6.12 Role of Cyber Security When Implementing IoT-Based Advanced Energy Solutions
  • 6.13 Materials Required in Smart Factories
  • 6.14 Methods in IoT-Based Smart Factory Implementation
  • 6.15 Steps for Developing an IoT-Based Energy Management System
  • 6.15.1 Assess Current Energy Usage
  • 6.15.2 Develop an Energy Conservation Plan
  • 6.15.3 Implement IoT Technology
  • 6.15.4 Monitor Results
  • 6.16 Challenges For Adopting IoT-Based Energy Management Systems
  • 6.16.1 Big Data and Analytics
  • 6.16.2 Connectivity Constraints
  • 6.16.3 Data Security and Privacy Issues
  • 6.16.4 Device Troubleshooting
  • 6.17 Recommendations for Overcoming the Challenges With Implementing IoT-Based Advanced Energy Solution
  • 6.17.1 IoT-Enabled Automation
  • 6.17.2 Smart Sensors
  • 6.17.3 Predictive Analytics
  • 6.18 Case Studies
  • 6.18.1 Automated Demand Response (ADR)
  • 6.18.2 Automated Maintenance
  • 6.18.3 Predictive Analytics
  • 6.19 Case Studies for Successful Implementation
  • 6.20 Applications
  • 6.21 Different Techniques for Monitoring and Control of IoT Devices.
  • 6.22 Literature Survey
  • 6.23 Conclusion
  • References
  • Chapter 7 Challenges in Ensuring Security for Smart Energy Management Chapter Systems Based on CPS
  • 7.1 Introduction
  • 7.1.1 Brief Overview of Smart Energy Management Systems and Cyber-Physical Systems
  • 7.1.2 Importance of Security in CPS-Based Smart Energy Management
  • 7.2 Cyber-Physical Systems and Smart Energy Management
  • 7.2.1 CPS Architecture and Components
  • 7.2.2 Types of CPS-Based Smart Energy Management Systems
  • 7.2.3 Common Communication Protocols Used in CPS-Based Smart Energy Management
  • 7.2.4 Cyber Security Threats in CPS-Based Systems
  • 7.3 Security Challenges in CPS-Based Smart Energy Management
  • 7.3.1 Cyber Security Threats to CPS-Based Smart Energy Management Systems
  • 7.3.2 Vulnerabilities of Communication Protocols Used in Smart Energy Management
  • 7.3.3 Attack Vectors for Compromising CPS-Based Smart Energy Management Systems
  • 7.4 Cyber Security Standards and Guidelines for Smart Energy Management
  • 7.4.1 Cyber Security Incidents in Smart Energy Management
  • 7.5 Conclusion
  • References
  • Chapter 8 Security Challenges in CPS-Based Smart Energy Management
  • 8.1 Introduction
  • 8.2 CPS Architecture
  • 8.3 The Driving Forces for CPS
  • 8.3.1 Big Data
  • 8.3.2 Cloud
  • 8.3.3 Machine-to-Machine Communication and Wireless Sensor Networks
  • 8.3.4 Mechatronics
  • 8.3.5 Cybernetics
  • 8.3.6 Systems of Systems
  • 8.4 Advances in Cyber-Physical Systems
  • 8.4.1 Application Domains of CPS
  • 8.4.1.1 Industrial Transformation
  • 8.4.1.2 Smart Grid
  • 8.4.1.3 Healthcare
  • 8.4.1.4 Smart Parking System
  • 8.4.1.5 Household CPS
  • 8.4.1.6 Aerospace
  • 8.4.1.7 Agriculture
  • 8.4.1.8 Construction
  • 8.5 Energy Management through CPS
  • 8.5.1 Energy Management of CPS for Smart Grid
  • 8.5.2 Energy Management of CPS for Smart Building Structure.
  • 8.5.3 Energy Management of CPS for Autonomous Electric Vehicles in Smart Transportation.

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