Renewable Energy Forecasting

From Models to Applications

Nonfiction, Science & Nature, Technology, Power Resources
Cover of the book Renewable Energy Forecasting by , Elsevier Science
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Author: ISBN: 9780081005057
Publisher: Elsevier Science Publication: September 29, 2017
Imprint: Woodhead Publishing Language: English
Author:
ISBN: 9780081005057
Publisher: Elsevier Science
Publication: September 29, 2017
Imprint: Woodhead Publishing
Language: English

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.

  • 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
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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.

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