Meteorological and power data requirements for real-time forecasting applications
Corinna Möhrlen, John W. Zack, Gregor Giebel · Elsevier eBooks · 2022
Meteorological and power data requirements for real-time forecasting applications Before you start readingThis is the fourth part of the IEA Wind recommended practice for the implementation of renewable energy forecasting solutions.In this fourth part, guidance for the selection, deployment and maintenance of meteorological sensors, power measurements and associated data quality control relevant to real-time forecasting is provided.In the first part, Forecast solution selection process, the design of a customized process to select an optimal forecast solution for a user's specific situation and application is addressed.The focus of the second part, Design and execution of benchmarks and trials, is the design, execution and analysis of customized forecasting benchmarks and trials.In the third part, Forecast solution evaluation methods and guidelines for the meaningful evaluation of alternative forecasts, operational and non-operational forecasts and entire forecast solutions are presented.If your main interest is in (1) selecting a forecasting solution, (2) testing or evaluating different forecasting solutions against each other, or (3) verifying the quality of your forecast solution, please go to parts 1, 2 or 3 of this recommended practice guideline to obtain recommendations on these specific topics.It is recommended using the table of contents actively to find the relevant topics.