IEA Wind Recommended Practice for the Implementation of Renewable Energy Forecasting Solutions
Language: English
Published by Elsevier Inc, 2022
- Softcover
- New

Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
AbeBooks seller since August 14, 2006
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Add to basketItem description from seller
nach der Bestellung gedruckt Neuware - Printed after ordering - Published as an Open Access book available on Science Direct, IEA Wind Recommended Practices for the Implementation of Renewable Energy Forecasting Solutions translates decades of academic knowledge and standard requirements into applicable procedures and decision support tools for the energy industry. Designed specifically for practitioners in the energy industry, readers will find the tools to maximize the value of renewable energy forecast information in operational decision-making applications and significantly reduce the costs of integrating large amounts of wind and solar generation assets into grid systems through more efficient management of the renewable generation variability. Authored by a group of international experts as part of the IEA Wind Task 36 (Wind Energy Forecasting), the book addresses the issue that many current operational forecast solutions are not properly optimized for their intended applications. It provides detailed guidelines and recommended practices on forecast solution selection processes, designing and executing forecasting benchmarks and trials, forecast solution evaluation, verification, and validation, and meteorological and power data requirements for real-time forecasting applications. In addition, the guidelines integrate probabilistic forecasting, integrate wind and solar forecasting, offer improved IT data exchange and data format standards, and have a dedicated section to dealing with the requirements for SCADA and meteorological measurements. A unique and comprehensive reference, IEA Wind Recommended Practices for the Implementation of Renewable Energy Forecasting Solutions is an essential guide for all practitioners involved in wind and solar energy generation forecasting from forecast vendors to end-users of renewable forecasting solutions.…
Seller Inventory # 9780443186813
- Title
- IEA Wind Recommended Practice for the Implementation of Renewable Energy Forecasting Solutions
- Author
- Corinna Möhrlen
- Publisher
- Elsevier Inc
- Publication year
- 2022
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 10
- 0443186812
- ISBN 13
- 9780443186813
- Item weight
- 522 grams
- Dimensions
- 229x152x20 mm
Published as an Open Access book available on Science Direct, IEA Wind Recommended Practices for the Implementation of Renewable Energy Forecasting Solutions translates decades of academic knowledge and standard requirements into applicable procedures and decision support tools for the energy industry. Designed specifically for practitioners in the energy industry, readers will find the tools to maximize the value of renewable energy forecast information in operational decision-making applications and significantly reduce the costs of integrating large amounts of wind and solar generation assets into grid systems through more efficient management of the renewable generation variability.
Authored by a group of international experts as part of the IEA Wind Task 36 (Wind Energy Forecasting), the book addresses the issue that many current operational forecast solutions are not properly optimized for their intended applications. It provides detailed guidelines and recommended practices on forecast solution selection processes, designing and executing forecasting benchmarks and trials, forecast solution evaluation, verification, and validation, and meteorological and power data requirements for real-time forecasting applications. In addition, the guidelines integrate probabilistic forecasting, integrate wind and solar forecasting, offer improved IT data exchange and data format standards, and have a dedicated section to dealing with the requirements for SCADA and meteorological measurements.
A unique and comprehensive reference, IEA Wind Recommended Practices for the Implementation of Renewable Energy Forecasting Solutions is an essential guide for all practitioners involved in wind and solar energy generation forecasting from forecast vendors to end-users of renewable forecasting solutions.
- Brings together the decades-long expertise of authors from a range of backgrounds, including universities and government laboratories, commercial forecasters, and operational forecast end-users into a single comprehensive set of practices
- Addresses all areas of wind power forecasting, including forecasting methods, measurement selection, setup and data quality control, and the evaluation of forecasting processes related to renewable energy forecasting
- Provides purpose-built decision-support tools, process diagrams, and code examples to help readers visualize and navigate the book and support decision-making
"Synopsis" may belong to another edition of this title.
About the Author
Dr. John W. Zack earned a BS degree in meteorology and oceanography from New York University and a Ph.D. in atmospheric sciences from Cornell University. He is the President, Chief Scientist and co-founder of MESO, Inc., a 35-year-old small business that specializes in the development and application of physics-based and statistical geophysical models. He is also a Senior Advisor at UL Services Group after leaving his full-time position as the head of the company’s Grid Solutions division in 2018. In 1998, he was one of the founding partners of AWS Truepower, a global leader in renewable energy consulting services, and served on its Board of Directors until its acquisition by UL, Inc in 2016. John is a board member and workpackage 2 leader of the IEA Wind Task 36 "Wind Energy Forecasting" and received an ESIG excellence award for contributions to advances in the use of probabilistic forecasting in 2020.
Dr. Gregor Giebel has worked for over 25 years with short-term forecasting of wind power, large-scale integration of wind power into electricity grids, wind farm flow control and condition monitoring for wind turbines including standardisation within the IEC. He is Operating Agent of IEA Wind Task 36 Forecasting for Wind Energy, and heads the FarmConners EU Coordination Action on wind farm control (windfarmcontrol.info) and the EU Marie Curie Initial Training Network Train2Wind (train2wind.eu). His main claim to fame is the standard report on the state of the art in short-term forecasting, with over 950 citations. He also is an accomplished writer of research proposals, with a funding quota of over 50%.
"About the title" may belong to another edition of this title.
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