人工知能学会全国大会論文集
Online ISSN : 2758-7347
26th (2012)
セッションID: 1K2-IOS-1b-3
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Spatio-temporal Kriging of solar radiation incorporating direction and speed of cloud movement.
*井上 剛Tetsuo SasakiTakashi Washio
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会議録・要旨集 フリー

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This report identifies direction, speed and duration of a solar radiation distribution due to weather conditions, especially a cloud movement, from distributed observations of solar radiation. 25 observations around Osaka area are used to analyze spatial correlation patterns with delay, and the results are compared to whole-sky photographs. The correlation patterns differ according to cloud patterns and motions, yet when a motion of cloud is observed, the speed and direction of the cloud motion can be identified from the correlation pattern. Using the information above, a detailed map of solar radiation (spatial and temporal resolution of 500 meters and 5 minutes) could be drawn by spatio-temporal Kriging. The presented method parameterizes the direction and speed of a cloud cover ratio, thereby incorporating its directionality. Cross-validation with spatial Kriging shows the advantage of the spatio-tempral Kriging when a motion of cloud is ovserved.

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© 2012 The Japanese Society for Artificial Intelligence
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