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Short term cloud forecast, improved cloud recognition and prediction and uncertainty index estimation

机译:短期云预测,改进的云识别和预测以及不确定性指数估计

摘要

A short-term cloud forecasting system includes a cloud segmentation processor that receives image data from images captured by an all sky camera. The cloud segmentation processor calculates a probability for each pixel in an image that the pixel is representative of a cloud. A cloud motion estimation processor calculates a motion vector representing estimated cloud motion calculates weights representing the likelihood that the cloud motion will cause a cloud to occlude the sun at a time in the near future. An uncertainty processor calculates one or more uncertainty indexes that quantify the confidence that a cloud forecast is accurate. Combining the cloud probabilities, the global motion vector and the at least one uncertainty index, in a sun occlusion prediction processor produces a short-term cloud forecast based on the image data that may be used as input to control systems for controlling a power grid.
机译:短期云预测系统包括云分段处理器,该云分段处理器从全天候摄像机捕获的图像接收图像数据。云分割处理器为图像中的每个像素计算该像素代表云的概率。云运动估计处理器计算代表估计的云运动的运动矢量,计算代表该云运动将使云在不久的将来一次遮挡太阳的可能性的权重。不确定性处理器计算一个或多个不确定性指数,以量化对云预测准确的置信度。在太阳遮挡预测处理器中,将云概率,全局运动矢量和至少一个不确定性指数结合起来,可以基于图像数据生成短期云预测,该图像可以用作控制系统的输入,以控制电网。

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