Renewable Energy Forecasting: From Models to Applications

✍ Scribed by George Kariniotakis (Eds.)

• Publisher: Woodhead Publishing
• Year: 2017
• Tongue: English
• Leaves: 366
• Series: Woodhead Publishing Series in Energy
• Edition: 1st
• Category: Library

✦ Synopsis

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.

✦ Table of Contents

Content:
Related titles,Front Matter,Copyright,List of contributorsEntitled to full textPart One: Introduction to meteorology and measurement technologies1 - Principles of meteorology and numerical weather prediction, Pages 3-28, Sue Ellen Haupt, Pedro A. Jiménez, Jared A. Lee, Branko Kosović
2 - Measurement methodologies for wind energy based on ground-level remote sensing, Pages 29-56, Sven-Erik Gryning, Torben Mikkelsen, Christophe Baehr, Alain Dabas, Paula Gómez, Ewan O'Connor, Lucie Rottner, Mikael Sjöholm, Irene Suomi, Nikola Vasiljević
3 - Wind power forecasting—a review of the state of the art, Pages 59-109, Gregor Giebel, George Kariniotakis
4 - Mathematical methods for optimized solar forecasting, Pages 111-152, Hugo T.C. Pedro, Rich H. Inman, Carlos F.M. Coimbra
5 - Short-term forecasting based on all-sky cameras, Pages 153-178, Andreas Kazantzidis, Panagiotis Tzoumanikas, Philippe Blanc, Pierre Massip, Stefan Wilbert, Lourdes Ramirez-Santigosa
6 - Short-term solar power forecasting based on satellite images, Pages 179-198, Philippe Blanc, Jan Remund, Loïc Vallance
7 - Wave energy forecasting, Pages 199-217, Gordon Reikard
8 - Forecasting intrahourly variability of wind generation, Pages 219-233, Claire L. Vincent, Pierre-Julien Trombe
9 - Characterization of forecast errors and benchmarking of renewable energy forecasts, Pages 235-256, Stefano Alessandrini, Simone Sperati
10 - Wind power in electricity markets and the value of forecasting, Pages 259-278, Nicoló Mazzi, Pierre Pinson
11 - Forecasting and setting power system operating reserves, Pages 279-308, Manuel Matos, Ricardo Bessa, Audun Botterud, Zhi Zhou
12 - Forecasting for storage management, Pages 309-323, Edgardo D. Castronuovo
13 - Dynamic line rating forecasting, Pages 325-339, Romain Dupin, Andrea Michiorri
14 - The role of predictability in the investment phase of wind farms, Pages 341-357, Javier Sanz Rodrigo, Laura Frías Paredes, Robin Girard, George Kariniotakis, Kevin Laquaine, Nicole Stoffels, Lueder von Bremen
Index, Pages 359-373

✦ Subjects

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