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Soft Computing Applications for Renewable Energy and Energy Efficiency

Book Description

As the climate and environment continue to fluctuate, researchers are urgently looking for new ways to preserve our limited resources and prevent further environmental degradation. The answer can be found through computer science, a field that is evolving at precisely the time it is needed most. Soft Computing Applications for Renewable Energy and Energy Efficiency brings together the latest technological research in computational intelligence and fuzzy logic as a way to care for our environment. This reference work highlights current advances and future trends in environmental sustainability using the principles of soft computing, making it an essential resource for students, researchers, engineers, and practitioners in the fields of project engineering and energy science.

Table of Contents

  1. Cover
  2. Title Page
  3. Copyright Page
  4. Book Series
    1. Mission
    2. Coverage
  5. Editorial Advisory Board and List of Reviewers
    1. Editorial Advisory Board
  6. Foreword
  7. Preface
    1. REFERENCES
  8. Acknowledgment
  9. Chapter 1: Current Status and Future Trends of the Evaluation of Solar Global Irradiation using Soft-Computing-Based Models
    1. ABSTRACT
    2. INTRODUCTION
    3. BACKGROUND
    4. LINEAR AND SOFT-COMPUTING-BASED MODELS
    5. METHODOLOGY
    6. RESULTS
    7. CONCLUSION
    8. FUTURE RESEARCH DIRECTIONS
    9. ACKNOWLEDGMENT
    10. REFERENCES
    11. KEY TERMS AND DEFINITIONS
  10. Chapter 2: Metaheuristics Applied to Biorefinery Supply Chain Problems
    1. ABSTRACT
    2. 1. INTRODUCTION
    3. 2. BIOENERGY SUPPLY CHAIN OPTIMIZATION
    4. 3. REVIEW OF METAHEURISTICS
    5. 4. CATEGORIZATION OF TYPES OF PROBLEMS AND ALGORITHMS USED
    6. 5. DISCUSSION
    7. 6. FUTURE RESEARCH DIRECTIONS
    8. 7. CONCLUSION
    9. ACKNOWLEDGMENT
    10. REFERENCES
    11. ADDITIONAL READING
    12. KEY TERMS AND DEFINITIONS
  11. Chapter 3: Design and Implementation of a Fuzzy Inference Model for Mapping the Sustainability of Energy Crops
    1. ABSTRACT
    2. 1. INTRODUCTION
    3. 2. FUZZY SETS AND UNCERTAINTY
    4. 3. FUZZY INFERENCE SYSTEM
    5. 4. LITERATURE REVIEW
    6. 5. A FUZZY INFERENCE MODEL FOR BUILDING A SUSTAINABILITY INDEX OF ENERGY CROPS
    7. CONCLUSION
    8. REFERENCES
    9. KEY TERMS AND DEFINITIONS
  12. Chapter 4: Comprehensive Methods for Dealing with Uncertainty in Assessing Sustainability Part 1
    1. ABSTRACT
    2. INTRODUCTION
    3. MIVES: GENERIC METHODOLOGY FOR ASSESSING SUSTAINABILITY
    4. TECHNIQUES FOR DEALING WITH UNCERTAINTY
    5. MONTE CARLO SIMULATION
    6. THE MIVES: MONTE CARLO METHOD
    7. EXAMPLE OF POTENTIAL APPLICATION TO POWER PLANTS
    8. CONCLUSION
    9. ACKNOWLEDGMENT
    10. REFERENCES
    11. KEY TERMS AND DEFINITIONS
  13. Chapter 5: Comprehensive Methods for Dealing with Uncertainty in Assessing Sustainability Part 2
    1. ABSTRACT
    2. INTRODUCTION
    3. FUZZY ARITHMETIC
    4. BASICS OF FUZZY SETS THEORY
    5. SIMPLIFIED FUZZY ARITHMETIC
    6. THE FUZZY MIVES METHOD
    7. EXAMPLE OF POTENTIAL APPLICATION TO HEATING AND AIR CONDITIONING SERVICES FOR RESIDENTIAL BUILDINGS
    8. HYBRID, FUZZY-STOCHASTIC METHODS
    9. CONCLUSION
    10. FUTURE RESEARCH DIRECTIONS
    11. ACKNOWLEDGMENT
    12. REFERENCES
    13. KEY TERMS AND DEFINITIONS
  14. Chapter 6: Aggregating GIS and MCDM to Optimize Wave Energy Converters Location in Tasmania, Australia
    1. ABSTRACT
    2. INTRODUCTION
    3. SOLUTIONS AND RECOMMENDATIONS
    4. Recommendations
    5. FUTURE DIRECTIONS
    6. CONCLUSION
    7. REFERENCES
    8. ADDITIONAL READING
    9. KEY TERMS AND DEFINITIONS
  15. Chapter 7: Fuzzy Logic in Wind Energy
    1. ABSTRACT
    2. INTRODUCTION
    3. BACKGROUND
    4. MAIN FOCUS
    5. FUTURE RESEARCH DIRECTIONS
    6. CONCLUSION
    7. REFERENCES
    8. ADDITIONAL READING
    9. KEY TERMS AND DEFINITIONS
  16. Chapter 8: Evaluation of Renewable Energy Alternatives using Hesitant Fuzzy TOPSIS and Interval Type-2 Fuzzy AHP
    1. ABSTRACT
    2. INTRODUCTION
    3. RENEWABLE ENERGY ALTERNATIVES
    4. RENEWABLE ENERGY ALTERNATIVES ASSESSMENT LITERATURE
    5. INTERVAL TYPE-2 FUZZY AHP AND FUZZY HESITANT TOPSIS
    6. DECISION MODEL AND ALTERNATIVES
    7. FUTURE RESEARCH DIRECTIONS
    8. CONCLUSION
    9. REFERENCES
    10. ADDITIONAL READING
    11. KEY TERMS AND DEFINITIONS
  17. Chapter 9: Grid Stabilization Effect of Combined Electricity Generation from Wind and Photovoltaic Systems in Murcia, Spain
    1. ABSTRACT
    2. INTRODUCTION
    3. BACKGROUND
    4. SOFT COMPUTING AND STANDARD MODELLING FOR THE SIMULATION OF RENEWABLE POWER GENERATION
    5. SOLUTIONS AND RECOMMENDATIONS
    6. FUTURE RESEARCH DIRECTIONS
    7. CONCLUSION
    8. ACKNOWLEDGMENT
    9. REFERENCES
    10. ADDITIONAL READING
    11. KEY TERMS AND DEFINITIONS
  18. Chapter 10: Modeling of Wind Speed Profile using Soft Computing Techniques
    1. ABSTRACT
    2. INTRODUCTION
    3. DETAILS OF SVM
    4. DETAILS OF GP
    5. DETAILS OF MARS
    6. RESULTS AND DISCUSSION
    7. CONCLUSION
    8. REFERENCES
    9. KEY TERMS AND DEFINITIONS
  19. Chapter 11: Solar Power Plant Optimization
    1. ABSTRACT
    2. 1. INTRODUCTION
    3. 2. PROPOSED MODEL AND ALGORITHM
    4. 3. RESULTS
    5. 4. CONCLUSION
    6. REFERENCES
    7. KEY TERMS AND DEFINITIONS
  20. Chapter 12: Classification of Failures in Photovoltaic Systems using Data Mining Techniques
    1. ABSTRACT
    2. INTRODUCTION
    3. DATA MINING AND RENEWABLE ENERGIES
    4. UNDERSTANDING THE PROBLEM
    5. DATA MINING TECHNIQUES AND THE PERFORMANCE OF PHOTOVOLTAIC GENERATOR
    6. RESULTS
    7. CONCLUSION
    8. ACKNOWLEDGMENT
    9. REFERENCES
    10. KEY TERMS AND DEFINITIONS
  21. Chapter 13: Integrated Management of Energy Resources in the Residential Sector Using Evolutionary Computation
    1. ABSTRACT
    2. INTRODUCTION
    3. EVOLUTIONARY ALGORITHMS: A BRIEF OVERVIEW
    4. MANAGEMENT OF DOMESTIC ENERGY RESOURCES
    5. OTHER OPTIMIZATION TECHNIQUES
    6. FUTURE RESEARCH DIRECTIONS
    7. CONCLUSION
    8. ACKNOWLEDGMENT
    9. REFERENCES
    10. ADDITIONAL READING
    11. KEY TERMS AND DEFINITIONS
  22. Chapter 14: Measurement of Electricity Distribution Service in India by Soft Computing Technique (ANN)
    1. ABSTRACT
    2. INTRODUCTION
    3. BACKGROUND
    4. FOCUS OF THE CHAPTER
    5. SOLUTIONS AND RECOMMENDATIONS
    6. FUTURE RESEARCH DIRECTIONS
    7. CONCLUSION
    8. REFERENCES
    9. ADDITIONAL READING
    10. KEY TERMS AND DEFINITIONS
  23. Compilation of References
  24. About the Contributors