IEA Wind Recommended Practice for the Implementation of Renewable Energy Forecasting Solutions

This companion page provides additional material not present in the paperback book and referred to in both the electronic and paper version of book. Please revisit this site from time to time and follow the links provided below to check for new content as time progresses. Especially, the evaluation code examples will be updated and enhanced through the IEA Wind Task 51 activities. This site includes:

• Recommended data formats and exchange Protocols

• Links to Updates and Evaluation Source Codes

Recommended Data formats and exchange Protocols

This section provides the downloadable data formats and schemata that are part of the recommendations for forecast data-related terminology, data description, data formats and exchange protocols in chapter 4 Data Communication.

Downloadable content

Schemata

• Availability_specification_wind.schema

• Measurement_specification_wind.schema

• Meta_data_wind

• Forecast_specification_wind.schema

• Measurements_wind

• Forecast_wind

• Meta_data_specification_wind.schema

Demo files

• Solar

• Wind

schema

• JSON: Solar

• XML: Solar

• JSON: Wind

• XML: Wind

Data description

The schemata and example data files are described in detail in the data exchange section 4.3 and provide recommended standards for data formats and exchange protocols. The example files and structures are for level 2 users:

• Level 2: more sophisticated formats and exchange protocols that enable groups with more extensive IT knowledge, experience and resources to achieve higher level of data exchange robustness and efficiency.

Links to Updates and Evaluation codes

Link to IEA Wind Recommended Practice Page Here we publish news and provide material on how to use the guideline via publications, presentation, open source code, etc.https://iea-wind.org/task51/task51-publications/task51-recommended-practices/

Link to OpenSource Forecast Evaluation Code These are OpenSource codes for evaluation of forecasts as described in Chapter 14 and 15 and Appendix G.1.

WE-Validate: Python-based code base as a platform to consistently evaluate wind-power forecasts. The tool WE-Validate is meant to gear towards forecast validation using observations and simulations for wind energy (WE) applications. This infrastructure code enables comparison of time series from arbitrary data sources using user-defined metrics. The tool is designed to be simple, readily usable, open source, publicly available, modularized, and extensible by users. We have detailed instructions for users on its GitHub page, Accessible Online: https://github.com/joejoeyjoseph/ Documentation Article: Joseph C. Y. Lee, Caroline Draxl, Larry K. Berg,Evaluating wind speed and power forecasts for wind-energy applications using an open-source and systematic validation framework, Renewable Energy, 200, 457-475, https://doi.org/10.1016/j.renene.2022.09.111,

evalprob4cast: (in the RP book referred to “WE-verify-prob” in Appendix G Validation and Verification Code Examples): R-based example code base to verify probabilistic wind energy forecasts. The tool is a project initiated within the IEA Wind Task 36 and 51 in order to provide example code to the IEA Wind Recommended Practice for the Implemention of Renewable Energy Forecast Solutions Part 2 Designing and Executing Forecasting Benchmarks and Trials and Part 3 Forecast Solution Evaluation. The package is accessible for download here: https://github.com/jbrowell/evalprob4cast Documentation Article: Bjerregård, M. B., Browell, J., Zack, J., Møller, J. K., Madsen, H., Giebel, G., & Möhrlen, C. (2025). evalprob4cast: An R-package for evaluation of ensembles as probabilistic forecasts or event forecasts. arXiv preprint arXiv:2504.03544. A some hands-on examples with the verification package have been presented at the 22nd Wind & Solar Integration Workshop,Kng. Lyngby, Denmark, 2023. [Paper] and [Presentation]