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APPLICATION OF ARTIFICIAL INTELLIGENCE TECHNIQUES AND STATISTICAL ENSEMBLING TO FORECAST POWER OUTPUT OF A WIND ENERGY FACILITY
APPLICATION OF ARTIFICIAL INTELLIGENCE TECHNIQUES AND STATISTICAL ENSEMBLING TO FORECAST POWER OUTPUT OF A WIND ENERGY FACILITY
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机译:人工智能技术和统计方法在风能发电量预测中的应用
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摘要
A wind energy forecasting system processes data from one or more numerical weather prediction models with power output data from a wind energy facility using artificial intelligence. This artificial intelligence is applied in one or more neural networks that produce specific power output forecasts for each numerical weather prediction model. A statistical ensembling approach is then applied to the resulting numerical weather prediction model forecasts and integrated with a persistence power output forecast to arrive at a consensus, overall forecasted power output for the wind energy facility.
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