,Table of Contents
Cover
Table of Contents
Title Page
Copyright Page
Preface
1 A Stochastic Framework for Enhancing Smart Grid
Reliability under Solar Generation Uncertainty in
Keeping with Emission Standards
1.1. Introduction
1.2. Literature review
1.3. Problem formulation
1.4. Uncertainty in solar power generation
1.5. Real-time monitoring in SGs
1.6. Optimization of electricity flow in SGs
1.7. Conclusion
1.8. Policy implications
1.9. Future directions
1.10. References
2 A Hybrid Machine Learning Approach to Assessing
the Comprehensive Health of Batteries in Electric
Vehicles
2.1. Introduction
2.2. Literature review
2.3. System design
2.4. Model development
2.5. Model evaluation and constraints
, 2.6. Data generation and preprocessing
2.7. Model training
2.8. Results and discussion
2.9. Conclusion
2.10. References
3 Operation and Control of an Autonomous Hybrid
Generation System Based on Wind, Solar, Biogas and
Battery Bank
3.1. Introduction
3.2. Autonomous hybrid renewable generation
system
3.3. Comprehensive operation of the proposed
AHRGS
3.4. AHRGS control strategy
3.5. Simulation results for the proposed hybrid
system
3.6. Experimental outcomes of the proposed hybrid
system
3.7. Conclusion
3.8. Acknowledgments
3.9. References
4 Techno-Economic Analysis of a Hybrid Renewable
Energy System with Solar PV, Wind and Biomass for
Off-Grid Communities: A HOMER-Based Case Study in
Aalborg, Denmark
4.1. Introduction
4.2. Proposed system architecture
4.3. System modeling
4.4. Economic analyses
4.5. Results and discussion
, 4.6. Comparison of different case studies and their
economic analysis
4.7. Summary
4.8. Conclusion
4.9. References
5 Impact of Field Degradation Rates on the Levelized
Cost of Energy (LCOE) for Solar PV Systems
5.1. Introduction
5.2. Literature on PV degradation and LCOE
computation techniques
5.3. Experimental setup and data acquisition
framework
5.4. LCOE formulation and integration of field-
derived Rd
5.5. Results and discussion
5.6. Conclusion and future scope
5.7. Future scope
5.8. References
6 Harnessing the Future: The Critical Role of Energy
System Models in Shaping Sustainable and Resilient
Global Energy Landscapes
6.1. Introduction
6.2. Energy system models: key concepts and types
6.3. The role of energy system models in
sustainable energy transitions
6.4. Predicting future energy scenarios
6.5. Energy system models and policy making
6.6. Impact of energy system models on greenhouse
gas emissions and climate goals
Cover
Table of Contents
Title Page
Copyright Page
Preface
1 A Stochastic Framework for Enhancing Smart Grid
Reliability under Solar Generation Uncertainty in
Keeping with Emission Standards
1.1. Introduction
1.2. Literature review
1.3. Problem formulation
1.4. Uncertainty in solar power generation
1.5. Real-time monitoring in SGs
1.6. Optimization of electricity flow in SGs
1.7. Conclusion
1.8. Policy implications
1.9. Future directions
1.10. References
2 A Hybrid Machine Learning Approach to Assessing
the Comprehensive Health of Batteries in Electric
Vehicles
2.1. Introduction
2.2. Literature review
2.3. System design
2.4. Model development
2.5. Model evaluation and constraints
, 2.6. Data generation and preprocessing
2.7. Model training
2.8. Results and discussion
2.9. Conclusion
2.10. References
3 Operation and Control of an Autonomous Hybrid
Generation System Based on Wind, Solar, Biogas and
Battery Bank
3.1. Introduction
3.2. Autonomous hybrid renewable generation
system
3.3. Comprehensive operation of the proposed
AHRGS
3.4. AHRGS control strategy
3.5. Simulation results for the proposed hybrid
system
3.6. Experimental outcomes of the proposed hybrid
system
3.7. Conclusion
3.8. Acknowledgments
3.9. References
4 Techno-Economic Analysis of a Hybrid Renewable
Energy System with Solar PV, Wind and Biomass for
Off-Grid Communities: A HOMER-Based Case Study in
Aalborg, Denmark
4.1. Introduction
4.2. Proposed system architecture
4.3. System modeling
4.4. Economic analyses
4.5. Results and discussion
, 4.6. Comparison of different case studies and their
economic analysis
4.7. Summary
4.8. Conclusion
4.9. References
5 Impact of Field Degradation Rates on the Levelized
Cost of Energy (LCOE) for Solar PV Systems
5.1. Introduction
5.2. Literature on PV degradation and LCOE
computation techniques
5.3. Experimental setup and data acquisition
framework
5.4. LCOE formulation and integration of field-
derived Rd
5.5. Results and discussion
5.6. Conclusion and future scope
5.7. Future scope
5.8. References
6 Harnessing the Future: The Critical Role of Energy
System Models in Shaping Sustainable and Resilient
Global Energy Landscapes
6.1. Introduction
6.2. Energy system models: key concepts and types
6.3. The role of energy system models in
sustainable energy transitions
6.4. Predicting future energy scenarios
6.5. Energy system models and policy making
6.6. Impact of energy system models on greenhouse
gas emissions and climate goals
