Renewable Energy Forecasting - 1st Edition - ISBN: 9780081005040

Renewable Energy Forecasting

1st Edition

From Models to Applications

Editors: Georges Kariniotakis
Hardcover ISBN: 9780081005040
Imprint: Woodhead Publishing
Published Date: 23rd June 2017
Page Count: 376
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Table of Contents



Part 1 Introduction to meteorology and renewable power generation


1. Introduction

2. Principles of meteorology and numerical weather forecasting

3. Renewable resource and power generation characteristics.

4. Measuring and remote sensing technologies for renewable resources


Part 2 Forecasting models


5. Wind energy forecasting models

6. Solar energy forecasting models.

7. Wave energy forecasting models

8. Hydro energy forecasting models

9. Characterisation of forecast errors and benchmarking of renewable energy forecasts

10. Probabilistic forecasting of renewable generation

11. Verification of renewable energy forecasts


Part 3 Methods for very short-term forecasting and extremes forecasting


12. Solar power forecasting based on sky cameras

13. Short term solar power forecasting based on satellite images

14. Spatio-temporal forecasting of wind generation

15. Methods for forecasting extremes of wind power generation

16. Forecasting intrahourly variability of wind generation


Part 4 Longer term forecasting and financial implications


17. Seasonal to interannual predictability of solar and wind energy resources

18. The role of predictability in the investment phase of wind farms

19. Predictability and spatial planning of renewable generation


Part 5 Applications of forecasting to power system management and markets.


20. Operational experiences from renewable generation forecasting

21. Renewable forecasting and electricity markets

22. Applications of forecasting for the scheduling of power systems

23. Forecasting for the estimation of reserves into power systems

24. Forecasting and smart grids

25. Forecasting for storage management

26. Dynamic line rating forecasting

27. Conclusions and perspectives


Renewable Energy Forecasting: From Models to Applications provides an overview of the state-of-the-art of renewable energy forecasting technology and its applications. After an introduction to the principles of meteorology and renewable energy generation, groups of chapters address forecasting models, very short-term forecasting, forecasting of extremes, and longer term forecasting. The final part of the book focuses on important applications of forecasting for power system management and in energy markets.

Due to shrinking fossil fuel reserves and concerns about climate change, renewable energy holds an increasing share of the energy mix. Solar, wind, wave, and hydro energy are dependent on highly variable weather conditions, so their increased penetration will lead to strong fluctuations in the power injected into the electricity grid, which needs to be managed. Reliable, high quality forecasts of renewable power generation are therefore essential for the smooth integration of large amounts of solar, wind, wave, and hydropower into the grid as well as for the profitability and effectiveness of such renewable energy projects.

Key Features

  • Offers comprehensive coverage of wind, solar, wave, and hydropower forecasting in one convenient volume
  • Addresses a topic that is growing in importance, given the increasing penetration of renewable energy in many countries
  • Reviews state-of-the-science techniques for renewable energy forecasting
  • Contains chapters on operational applications


Research meteorologists and engineers responsible for building forecast models. Power forecast practitioners (e.g. wind/solar plant operators, grid operators, energy traders). Researchers in academia (from post-graduate level upwards) working in the areas of energy meteorology, energy policy, grid integration and renewable energy in general


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© Woodhead Publishing 2017
Woodhead Publishing
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About the Editors

Georges Kariniotakis Editor

George Kariniotakis is a Senior Scientist at the Center for Energy and Processes of MINES ParisTech. His research interests are on the fields of wind and solar power forecasting, on the integration of distributed generation and renewables into power systems, on decision making under uncertainty, artifical intelligence and modelling of power systems. He has participated in more that 35 R&D projects and authored more than 140 publications in these fields. He has been the coordinator of the EU project ANEMOS that resulted to the Anemos software nowadays used commercially in several countries worldwide for wind power forecasting. Today he coordinates two follow-up projects: and SafeWind.

Affiliations and Expertise

Senior Scientist, Center for Energy and Processes of MINES ParisTech