Reduced Cost and Increased Wind and Solar Prediction Quality by the Generic Anemos Platform for Forecast Handling, Optimisation and Benchmarking.

Autor: Waldl, Hans-Peter (Igor), Dierich, Felix
Předmět:
Zdroj: International Workshop on Large-Scale Integration of Wind Power into Power Systems as well as on Transmission Networks for Offshore Wind Plants; 2019, p1-7, 7p
Abstrakt: In practically all end-user wind and solar power prediction applications, the majority of tasks besides the predictions itself can be tackled on a generic level. A mature and proven solution with a high level of quality management and resilience may be an alternative to a proprietary development for benchmark and in-house prediction handling, using a number of prediction data feeds. Since many years, the Anemos prediction platform has been developed in several research and commercial contexts, originally for wind power forecasts and today also for advanced solar power predictions. Many of the Anemos developments are generic, and may be used for the implementation of individual wind and solar power prediction systems with respect to data interfaces, data storage, aggregations and uncertainties, GUIs, monitoring, QM and O&M support and benchmark reporting. In particular, it contains an advanced combination module, which combines the data feeds from different FSPs and generates an optimized overall forecast. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index