Analytics and Optimization for Renewable Energy Integration
eBook - ePub

Analytics and Optimization for Renewable Energy Integration

  1. 372 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Analytics and Optimization for Renewable Energy Integration

About this book

The scope of this book covers the modeling and forecast of renewable energy and operation and planning of power system with renewable energy integration.The first part presents mathematical theories of stochastic mathematics; the second presents modeling and analytic techniques for renewable energy generation; the third provides solutions on how to handle the uncertainty of renewable energy in power system operation. It includes advanced stochastic unit commitment models to acquire the optimal generation schedule under uncertainty, efficient algorithms to calculate the probabilistic power, and an efficient operation strategy for renewable power plants participating in electricity markets.

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Information

Publisher
CRC Press
Year
2019
Print ISBN
9781138316829
eBook ISBN
9780429847691
Topic
Technology & Engineering
Subtopic
Energy
Index
Technology & Engineering

Table of contents

  1. Cover
  2. Half Title
  3. Title Page
  4. Copyright Page
  5. Dedication
  6. Table of Contents
  7. Preface
  8. List of Abbreviations
  9. I Mathematical Foundations
  10. II Uncertainty Modeling and Analytics
  11. III Short-Term Operation Optimization
  12. IV Long-Term Planning Optimization
  13. Index

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Yes, you can access Analytics and Optimization for Renewable Energy Integration by Ning Zhang,Chongqing Kang,Ershun Du,Yi Wang 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.