
IEA Wind Recommended Practice for the Implementation of Renewable Energy Forecasting Solutions
- 1st Edition - November 12, 2022
- Imprint: Academic Press
- Authors: Corinna Möhrlen, John W. Zack, Gregor Giebel
- Language: English
- Paperback ISBN:9 7 8 - 0 - 4 4 3 - 1 8 6 8 1 - 3
- eBook ISBN:9 7 8 - 0 - 4 4 3 - 1 8 6 8 2 - 0
Published as an Open Access book available on Science Direct, IEA Wind Recommended Practices for the Implementation of Renewable Energy Forecasting Solutions translates decad… Read more

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Request a sales quotePublished 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
Engineers and practitioners in industry working on the application of wind energy, wind and solar power generation forecasters, and end-users of forecasts. For example, transmission system operators, utilities, energy traders, operators of wind and solar generation facilities
- Cover image
- Title page
- Table of Contents
- Copyright
- Dedication
- List of figures
- Bibliography
- List of tables
- Bibliography
- Biography
- Dr. Corinna Möhrlen
- Dr. John W. Zack
- Dr. Gregor Giebel
- Preface
- About the IEA Wind TCP and Task 36 and 51
- Part One: Forecast solution selection process
- Introduction
- Chapter One: Forecast solution selection process
- 1.1. Before you start reading
- 1.2. Background and introduction
- 1.3. Objectives
- 1.4. Definitions
- Chapter Two: Initial considerations
- 2.1. Tackling the task of engaging a forecaster for the first time
- 2.2. Purpose and requirements of a forecasting solution
- 2.3. Adding uncertainty forecasts to forecasting solutions
- 2.4. Information table for specific topic targets
- Bibliography
- Chapter Three: Decision support tool
- 3.1. Initial forecast system planning
- 3.2. IT infrastructure considerations
- 3.3. Establishment of a requirement list
- 3.4. Short-term solution
- 3.5. Long-term solution
- 3.6. Going forward with an established IT system
- 3.7. Complexity level of the existing IT solution
- 3.8. Selection of a new vendor versus benchmarking existing vendor
- 3.9. RFP evaluation criteria for a forecast solution
- 3.10. Forecast methodology selection for use of probabilistic forecasts
- Bibliography
- Chapter Four: Data communication
- 4.1. Terminology
- 4.2. Data description
- 4.3. Data format and exchange
- 4.4. Sample formatted template files and schemas
- Bibliography
- Chapter Five: Concluding remarks
- Part Two: Designing and executing forecasting benchmarks and trials
- Introduction
- Chapter Six: Designing and executing benchmarks and trials
- 6.1. Before you start reading
- 6.2. Background and introduction
- 6.3. Definitions
- 6.4. Objectives
- Chapter Seven: Initial considerations
- 7.1. Deciding whether to conduct a trial or benchmark
- 7.2. Benefits of trials and benchmarks
- 7.3. Limitations with trials and benchmarks
- 7.4. Time lines and forecast periods in a trial or benchmark
- 7.5. 1-Page “cheat sheet” checklist
- Bibliography
- Chapter Eight: Conducting a benchmark or trial
- 8.1. Phase 1: preparation
- 8.2. Phase 2: During benchmark/trial
- 8.3. Phase 3: Post trial or benchmark
- Bibliography
- Chapter Nine: Considerations for probabilistic benchmarks and trials
- 9.1. Preparation phase challenges for probabilistic b/t
- 9.2. Evaluation challenges for probabilistic b/t
- Bibliography
- Chapter Ten: Best practice recommendations for benchmarks/trials
- 10.1. Best practice for b/t
- 10.2. Pitfalls to avoid
- Part Three: Forecast solution evaluation
- Introduction
- Chapter Eleven: Forecast solution evaluation
- 11.1. Before you start reading
- 11.2. Background and introduction
- Bibliography
- Chapter Twelve: Overview of evaluation uncertainty
- 12.1. Representativeness
- 12.2. Significance
- 12.3. Relevance
- Bibliography
- Chapter Thirteen: Measurement data processing and control
- 13.1. Uncertainty of instrumentation signals and measurements
- 13.2. Measurement data reporting and collection
- 13.3. Measurement data processing and archiving
- 13.4. Quality assurance and quality control
- Chapter Fourteen: Assessment of forecast performance
- 14.1. Forecast attributes at metric selection
- 14.2. Prediction intervals and predictive distributions
- 14.3. Probabilistic forecast assessment methods
- 14.4. Metric-based forecast optimization
- 14.5. Post-processing of ensemble forecasts
- Bibliography
- Chapter Fifteen: Best practice recommendations for forecast evaluation
- 15.1. Developing an evaluation framework
- 15.2. Operational forecast value maximization
- 15.3. Evaluation of benchmarks and trials
- 15.4. Use cases
- Bibliography
- Part Four: Meteorological and power data requirements for real-time forecasting applications
- Introduction
- Chapter Sixteen: Meteorological and power data requirements for real-time forecasting applications
- 16.1. Before you start reading
- 16.2. Background and introduction
- 16.3. Structure and recommended use
- Bibliography
- Chapter Seventeen: Use and application of real-time meteorological measurements
- 17.1. Application-specific requirements
- 17.2. Available and applicable standards for real-time meteorological and power measurements
- 17.3. Standards and guidelines for general meteorological measurements
- 17.4. Data communication
- Bibliography
- Chapter Eighteen: Meteorological instrumentation for real-time operation
- 18.1. Instrumentation for wind projects
- 18.2. Instrumentation for solar projects
- Bibliography
- Chapter Nineteen: Power measurements for real-time operation
- 19.1. Live power and related measurements
- 19.2. Measurement systems
- 19.3. Power available signals
- 19.4. Live power data in forecasting
- 19.5. Summary of best practices
- Chapter Twenty: Measurement setup and calibration
- 20.1. Selection of instrumentation
- 20.2. Location of measurements
- 20.3. Maintenance and inspection schedules
- Bibliography
- Chapter Twenty-One: Assessment of instrumentation performance
- 21.1. Measurement data processing
- 21.2. Uncertainty expression in measurements
- 21.3. Known issues of uncertainty in specific instrumentation
- 21.4. General data quality control and quality assurance (QCQA)
- 21.5. Historic quality control (QC)
- 21.6. Real-time quality control (QC)
- Bibliography
- Chapter Twenty-Two: Best practice recommendations
- 22.1. Definitions
- 22.2. Instrumentation
- 22.3. Recommendations for real-time measurements by application type
- 22.4. Recommendations for real-time measurements for power grid and utility-scale operation
- 22.5. Recommendations for real-time measurements for power plant operation and monitoring
- 22.6. Recommendations for real-time measurements for power trading in electricity markets
- Bibliography
- Chapter Twenty-Three: End note
- Appendix A: Clarification questions for forecast solutions
- Ask questions to the vendors
- Appendix B: Typical RFI questions prior to or in an RFP
- Appendix C: Application examples for use of probabilistic uncertainty forecasts
- C.1. Example of the graphical visualization of an operational dynamic reserve prediction system at a system operator
- C.2. High-speed shut down warning system
- Appendix D: Metadata checklist
- Appendix E: Sample forecast file structures
- E.1. XSD template example for forecasts and SCADA
- E.2. XSD SCADA template for exchange of real-time measurements
- Appendix F: Standard statistical metrics
- F.1. BIAS
- F.2. MAE – mean absolute error
- F.3. RMSE – root mean squared error
- F.4. Correlation
- F.5. Standard deviation
- F.6. What makes a forecast “good”?
- Bibliography
- Appendix G: Validation and verification code examples
- G.1. IEA wind task 36 and task 51 specific V&V code examples
- G.2. Code examples from related projects with relevance to recommendations
- Bibliography
- Appendix H: Examples of system operator met measurement requirements
- H.1. Examples of requirements in different jurisdictions
- H.2. Met measurement requirement example from California independent system operator in USA
- H.3. Met measurement requirement example from Irish system operator EIRGRID group
- H.4. Met measurement requirement example from Alberta electric system operator in Canada
- Bibliography
- Bibliography
- Bibliography
- Nomenclature
- Bibliography
- Index
- Edition: 1
- Published: November 12, 2022
- Imprint: Academic Press
- No. of pages: 388
- Language: English
- Paperback ISBN: 9780443186813
- eBook ISBN: 9780443186820
CM
Corinna Möhrlen
JZ
John W. Zack
GG