2D-interval forecasts for solar power production

Mashud Rana,Irena Koprinska,Vassilios G Agelidis

Solar Energy（2015）

引用 77|浏览25

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摘要

•We generate 2D-interval forecasts for solar power produced by PV systems.•At time t we predict the lower and upper bound of the PV power for [t+1, t+k].•We predict the PV power directly, from previous PV power and weather data.•Prediction algorithm: support vector regression.•Evaluation: Australian PV data for 2years; 1, 5 & 30min; various interval lengths.

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关键词

Interval forecasts,Solar power forecasting,Support vector regression,Neural networks

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