Renewable Energy Forecasting: From Models to Applications (Woodhead Publishing Series in Energy) 🔍
George Kariniotakis (Eds.)
Woodhead Publishing, an imprint of Elsevier, Woodhead Publishing Series in Energy, 1st, 2017
英语 [en] · PDF · 24.3MB · 2017 · 📘 非小说类图书 · 🚀/duxiu/lgli/lgrs/nexusstc/zlib · Save
描述
__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
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
备用文件名
lgrsnf/K:/!genesis/!repository10/0day/sd/9780081005040.pdf
备用文件名
nexusstc/Renewable Energy Forecasting: From Models to Applications/04b571b742b667c9a7f68f8593a91665.pdf
备用文件名
zlib/Engineering/George Kariniotakis (Eds.)/Renewable Energy Forecasting: From Models to Applications_3307011.pdf
备选作者
Georges Kariniotakis
备用出版商
Elsevier Science & Technology
备用出版商
Woodhead Publishing Ltd
备用出版商
John Murray Press
备用出版商
Focal Press
备用版本
Woodhead Publishing Series in Energy, Duxford, United Kingdom, 2017
备用版本
Woodhead publishing series in energy, Cambridge, 2017
备用版本
Woodhead Publishing Series in Energy, s.l, 2017
备用版本
Elsevier Ltd., Duxford, United Kingdom, 2017
备用版本
United Kingdom and Ireland, United Kingdom
备用版本
2016
元数据中的注释
0
元数据中的注释
lg2064894
元数据中的注释
{"edition":"1","isbns":["0081005040","9780081005040"],"last_page":386,"publisher":"Woodhead Publishing","series":"Woodhead Publishing Series in Energy"}
备用描述
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
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
开源日期
2017-08-08
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