Hybrid Probabilistic Wind Power Forecasting Using Temporally Local Gaussian Process
نویسندگان
چکیده
منابع مشابه
Short-Term Wind Power Forecasting Using Gaussian Processes
Since wind has an intrinsically complex and stochastic nature, accurate wind power forecasts are necessary for the safety and economics of wind energy utilization. In this paper, we investigate a combination of numeric and probabilistic models: one-day-ahead wind power forecasts were made with Gaussian Processes (GPs) applied to the outputs of a Numerical Weather Prediction (NWP) model. Firstly...
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Short-term prediction of wind energy is by now an established field of wind power technology. For the last 15 years, our groups have worked in the field and developed short-term prediction models being used operatively at the major Danish utilities since 1996. The next step in the development of the models is to use ensemble forecasts. The ensembles are produced routinely at US NCEP (National C...
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ژورنال
عنوان ژورنال: IEEE Transactions on Sustainable Energy
سال: 2016
ISSN: 1949-3029,1949-3037
DOI: 10.1109/tste.2015.2472963