An improved cloud recognition and classification method for photovoltaic power prediction based on total-sky-images

An improved cloud recognition and classification method for photovoltaic power prediction based on total-sky-images

The rapid variation of irradiance due to cloud movements and occlusions is the main factor causing the fluctuation of photovoltaic (PV) power generation. Accurate recognition and classification of cloud is the prerequisite of improving the prediction accuracy of irradiance. Total-Sky-Images (TSIs) t...

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Bibliographic Details
Main Authors: Jiacheng Tang, Zeyan Lv, Yong Zhang, Miao Yu, Wei Wei
Format: Article
Language:English
Published: Wiley 2019-05-01
Series:The Journal of Engineering
Subjects:
image segmentation
geophysical image processing
sunlight
atmospheric techniques
image classification
clouds
photovoltaic power systems
ground-based cameras
good solution
ultra-short-term pv power prediction
threshold-based segmentation algorithm
brightness
greyscale value
pixels
greyscale distribution
cause misclassification
novel cloud classification method
total sky
clear sky
greyscale values
clear-sky tsis
improved cloud recognition
photovoltaic power prediction
total-sky-images
cloud movements
main factor
photovoltaic power generation
prediction accuracy
Online Access:https://digital-library.theiet.org/content/journals/10.1049/joe.2018.9249

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