Standardizing the Performance Evaluation of Short-Term Wind Power Prediction Models
| Autor: | Torben Skov Nielsen, Pierre Pinson, Henrik Madsen, Georges Kariniotakis, Henrik Aa. Nielsen |
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| Rok vydání: | 2005 |
| Předmět: |
Engineering
Wind power Renewable Energy Sustainability and the Environment business.industry 020209 energy 020208 electrical & electronic engineering Frame (networking) Energy Engineering and Power Technology Wind power forecasting 02 engineering and technology 7. Clean energy Reliability engineering Term (time) Electric power system Offshore wind power 0202 electrical engineering electronic engineering information engineering business Protocol (object-oriented programming) Predictive modelling |
| Zdroj: | Wind Engineering. 29:475-489 |
| ISSN: | 2048-402X 0309-524X |
| DOI: | 10.1260/030952405776234599 |
| Popis: | Short-term wind power prediction is a primary requirement for efficient large-scale integration of wind generation in power systems and electricity markets. The choice of an appropriate prediction model among the numerous available models is not trivial, and has to be based on an objective evaluation of model performance. This paper proposes a standardized protocol for the evaluation of short-term windpower prediction systems. A number of reference prediction models are also described, and their use for performance comparison is analysed. The use of the protocol is demonstrated, using results from both on-shore and offshore wind farms. The work was developed in the frame of the Anemos project (EU R&D project) where the protocol has been used to evaluate more than 10 prediction systems. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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