Predictive Modelling for Energy Management and Power Systems Engineering
eBook - ePub

Predictive Modelling for Energy Management and Power Systems Engineering

  1. 552 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Predictive Modelling for Energy Management and Power Systems Engineering

About this book

Predictive Modeling for Energy Management and Power Systems Engineering introduces readers to the cutting-edge use of big data and large computational infrastructures in energy demand estimation and power management systems. The book supports engineers and scientists who seek to become familiar with advanced optimization techniques for power systems designs, optimization techniques and algorithms for consumer power management, and potential applications of machine learning and artificial intelligence in this field. The book provides modeling theory in an easy-to-read format, verified with on-site models and case studies for specific geographic regions and complex consumer markets.- Presents advanced optimization techniques to improve existing energy demand system- Provides data-analytic models and their practical relevance in proven case studies- Explores novel developments in machine-learning and artificial intelligence applied in energy management- Provides modeling theory in an easy-to-read format

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Yes, you can access Predictive Modelling for Energy Management and Power Systems Engineering by Ravinesh Deo,Pijush Samui,Sanjiban Sekhar Roy in PDF and/or ePUB format, as well as other popular books in Technology & Engineering & Energy. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Elsevier
Year
2020
Print ISBN
9780128177723
eBook ISBN
9780128177730
Topic
Technology & Engineering
Subtopic
Energy
Index
Technology & Engineering

Table of contents

  1. Cover image
  2. Title page
  3. Table of Contents
  4. Copyright
  5. List of Contributors
  6. About the editors
  7. Foreword
  8. Preface
  9. Chapter 1. A Multiobjective optimal VAR dispatch using FACTS devices considering voltage stability and contingency analysis
  10. Chapter 2. Photovoltaic panels life span increase by control
  11. Chapter 3. Community-scale rural energy systems: General planning algorithms and methods for developing countries
  12. Chapter 4. Proven energy storage system applications for power systems stability and transition issues
  13. Chapter 5. Design and performance of two decomposition paradigms in forecasting daily solar radiation with evolutionary polynomial regression: wavelet transform versus ensemble empirical mode decomposition
  14. Chapter 6. Development of data-driven models for wind speed forecasting in Australia
  15. Chapter 7. Hybrid multilayer perceptron-firefly optimizer algorithm for modelling photosynthetic active solar radiation for biofuel energy exploration
  16. Chapter 8. Predictive modeling of oscillating plasma energy release for clean combustion engines
  17. Chapter 9. Nowcasting solar irradiance for effective solar power plants operation and smart grid management
  18. Chapter 10. Short-term electrical energy demand prediction under heat island effects using emotional neural network integrated with genetic algorithm
  19. Chapter 11. Artificial neural networks and adaptive neuro-fuzzy inference system in energy modeling of agricultural products
  20. Chapter 12. Support vector machine model for multistep wind speed forecasting
  21. Chapter 13. MARS model for prediction of short- and long-term global solar radiation
  22. Chapter 14. Wind speed forecasting in Nepal using self-organizing map-based online sequential extreme learning machine
  23. Chapter 15. Potential growth in small-scale distributed generation systems in Brazilian capitals
  24. Chapter 16. Trend of energy consumption in developing nations in the last two decades: a case study from a statistical perspective
  25. Index