Core Concepts and Methods in Load Forecasting : With Applications in Distribution Networks

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ABOUT THE BOOK

This comprehensive open access book enables readers to discover the essential techniques for load forecasting in electricity networks, particularly for active distribution networks.

From statistical methods to deep learning and probabilistic approaches, the book covers a wide range of techniques and includes real-world applications and a worked examples using actual electricity data (including an example implemented through shared code). Advanced topics for further research are also included, as well as a detailed appendix on where to find data and additional reading. As the smart grid and low carbon economy continue to evolve, the proper development of forecasting methods is vital.

This book is a must-read for students, industry professionals, and anyone interested in forecasting for smart control applications, demand-side response, energy markets, and renewable utilization.

 TABLE OF CONTENTS

  1. Introduction

    • Stephen Haben, Marcus Voss, William Holderbaum
    Pages 1-11Open Access
  2. Primer on Distribution Electricity Networks

    • Stephen Haben, Marcus Voss, William Holderbaum
    Pages 13-22Open Access
  3. Primer on Statistics and Probability

    • Stephen Haben, Marcus Voss, William Holderbaum
    Pages 23-39Open Access
  4. Primer on Machine Learning

    • Stephen Haben, Marcus Voss, William Holderbaum
    Pages 41-53Open Access
  5. Time Series Forecasting: Core Concepts and Definitions

    • Stephen Haben, Marcus Voss, William Holderbaum
    Pages 55-66Open Access
  6. Load Data: Preparation, Analysis and Feature Generation

    • Stephen Haben, Marcus Voss, William Holderbaum
    Pages 67-88Open Access
  7. Verification and Evaluation of Load Forecast Models

    • Stephen Haben, Marcus Voss, William Holderbaum
    Pages 89-105Open Access
  8. Load Forecasting Model Training and Selection

    • Stephen Haben, Marcus Voss, William Holderbaum
    Pages 107-127Open Access
  9. Benchmark and Statistical Point Forecast Methods

    • Stephen Haben, Marcus Voss, William Holderbaum
    Pages 129-151Open Access
  10. Machine Learning Point Forecasts Methods

    • Stephen Haben, Marcus Voss, William Holderbaum
    Pages 153-199Open Access
  11. Probabilistic Forecast Methods

    • Stephen Haben, Marcus Voss, William Holderbaum
    Pages 201-227Open Access
  12. Load Forecast Process

    • Stephen Haben, Marcus Voss, William Holderbaum
    Pages 229-235Open Access
  13. Advanced and Additional Topics

    • Stephen Haben, Marcus Voss, William Holderbaum
    Pages 237-259Open Access
  14. Case Study: Low Voltage Demand Forecasts

    • Stephen Haben, Marcus Voss, William Holderbaum
    Pages 261-285Open Access
  15. Selected Applications and Examples

    • Stephen Haben, Marcus Voss, William Holderbaum
    Pages 287-304

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