Short Term Prediction of Sun Coverage  Using Optical Flow with CNN

Thanonchai Leelaruji

IC-ICTES (TAIST), The 10th International Conference on Information and Communication Technology for Embedded Systems

Short Term Prediction of Sun Coverage Using Optical Flow with CNN

Thanonchai Leelaruji

Last modified: 2019-03-16

Abstract

Solar irradiance fluctuation forecast is a big challenge in PV power generation. This paper presents a technique using Optical flow with CNN for raising trigger events in advance before the sun cover happens. The result shows an accuracy around 66.67%. This trigger can correctly predict from 8 out of 11 events. The proposed system can be further improved by collecting more images with fluctuation events.

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