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IEA Wind Recommended Practice for the Implementation of Renewable Energy Forecasting Solutions
The first comprehensive set of recommended practices and guidelines on wind power forecasting
Corinna Möhrlen (Author), John W. Zack (Author), Gregor Giebel (Author)
9780443186813, Elsevier Science
Paperback / softback, published 17 November 2022
388 pages
22.9 x 15.2 x 2.5 cm, 0.61 kg
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.
1. Forecast Solution Selection Process 2. Designing and Executing Forecasting Benchmarks and Trials 3. Forecast Solution Evaluation 4. Meteorological and Power Data Requirements for Real-Time Forecasting Applications
Subject Areas: Materials science [TGM], Biotechnology [TCB], Biomedical engineering [MQW]
