@inproceedings{0263332664694ac398159ae581bc31d0,
title = "All-sky image processing for solar energy applications",
abstract = "In this work, we aim at perform short-term prediction on the solar irradiance in order to allow the Photovoltaics (PV) operators to manage and allocate energy supplies. Making accurate short-term prediction helps ensure the stability of power supply without the need to reserve too much energy. All-sky cameras are devices that can be used to monitor the behaviors of the sun and the clouds. By analyzing all-sky images, we extract features that can be used to predict solar irradiance via a trained regression model. The results of this work could provide very useful information for PV operators to ensure greater efficiency of the solar energy supply. Categories and Subject Descriptors I.5.m [Pattern Recognition]: Miscellaneous General Terms Algorithms.",
keywords = "All-sky image, Regression, Solar irradiance prediction",
author = "Cheng, {Hsu Yung} and Yu, {Chih Chang}",
year = "2014",
doi = "10.1145/2632856.2632909",
language = "???core.languages.en_GB???",
isbn = "9781450328104",
series = "ACM International Conference Proceeding Series",
publisher = "Association for Computing Machinery",
pages = "185--188",
booktitle = "ICIMCS 2014 - Proceedings of the 6th International Conference on Internet Multimedia Computing and Service",
note = "null ; Conference date: 10-07-2014 Through 12-07-2014",
}