Intelligent Prediction of Cloud Movement Path

Shuo Kao; Yih Guang Leu; Chia Hao Chen; Tsai Ping Chu

doi:10.1109/ICSSE58758.2023.10227211

Intelligent Prediction of Cloud Movement Path

Shuo Kao, Yih Guang Leu^*, Chia Hao Chen, Tsai Ping Chu

^*此作品的通信作者

電機工程學系

研究成果: 書貢獻/報告類型 › 會議論文篇章

摘要

Due to the proportion of solar power generation in the power grid gradual increasing, weather forecasting plays an important role in the operation of power grid. In the case of a solar eclipse, the solar power generation will be influenced severely. In order to maintain grid stability, grid operations can precisely calculate the solar shading situation by the location and time of the solar eclipse, and then prepare in advance to reduce the impact of grid ramping event. The purpose of this paper is to predict the movement path of cloud blocks and estimate the solar shading by cloud blocks, and to estimate the variation of solar irradiance through Long Short-Term Memory (LSTM) network in order to provide dispatchers or Energy Management System (EMS) to effectively respond to the impact of cloud blocks on the power grid in advance.

原文	英語
主出版物標題	Proceedings of 2023 International Conference on System Science and Engineering, ICSSE 2023
發行者	Institute of Electrical and Electronics Engineers Inc.
頁面	344-347
頁數	4
ISBN（電子）	9798350322941
DOIs	https://doi.org/10.1109/ICSSE58758.2023.10227211
出版狀態	已發佈 - 2023
事件	2023 International Conference on System Science and Engineering, ICSSE 2023 - Virtual, Ho Chi Minh City, 越南持續時間: 2023 8月 27 → 2023 8月 28

出版系列

名字	Proceedings of 2023 International Conference on System Science and Engineering, ICSSE 2023

會議

會議	2023 International Conference on System Science and Engineering, ICSSE 2023
國家/地區	越南
城市	Virtual, Ho Chi Minh City
期間	2023/08/27 → 2023/08/28

ASJC Scopus subject areas

人工智慧
電腦科學應用
電腦視覺和模式識別
能源工程與電力技術
控制與系統工程
控制和優化

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10.1109/ICSSE58758.2023.10227211

其它文件與鏈接

引用此

Kao, S., Leu, Y. G., Chen, C. H., & Chu, T. P. (2023). Intelligent Prediction of Cloud Movement Path. 於 Proceedings of 2023 International Conference on System Science and Engineering, ICSSE 2023 (頁 344-347). (Proceedings of 2023 International Conference on System Science and Engineering, ICSSE 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICSSE58758.2023.10227211

Intelligent Prediction of Cloud Movement Path. / Kao, Shuo; Leu, Yih Guang; Chen, Chia Hao 等.
Proceedings of 2023 International Conference on System Science and Engineering, ICSSE 2023. Institute of Electrical and Electronics Engineers Inc., 2023. p. 344-347 (Proceedings of 2023 International Conference on System Science and Engineering, ICSSE 2023).

研究成果: 書貢獻/報告類型 › 會議論文篇章

Kao, S, Leu, YG, Chen, CH & Chu, TP 2023, Intelligent Prediction of Cloud Movement Path. 於 Proceedings of 2023 International Conference on System Science and Engineering, ICSSE 2023. Proceedings of 2023 International Conference on System Science and Engineering, ICSSE 2023, Institute of Electrical and Electronics Engineers Inc., 頁 344-347, 2023 International Conference on System Science and Engineering, ICSSE 2023, Virtual, Ho Chi Minh City, 越南, 2023/08/27. https://doi.org/10.1109/ICSSE58758.2023.10227211

Kao S, Leu YG, Chen CH, Chu TP. Intelligent Prediction of Cloud Movement Path. 於 Proceedings of 2023 International Conference on System Science and Engineering, ICSSE 2023. Institute of Electrical and Electronics Engineers Inc. 2023. p. 344-347. (Proceedings of 2023 International Conference on System Science and Engineering, ICSSE 2023). doi: 10.1109/ICSSE58758.2023.10227211

@inproceedings{b0fc7d56983b48be8211c87137232330,

title = "Intelligent Prediction of Cloud Movement Path",

abstract = "Due to the proportion of solar power generation in the power grid gradual increasing, weather forecasting plays an important role in the operation of power grid. In the case of a solar eclipse, the solar power generation will be influenced severely. In order to maintain grid stability, grid operations can precisely calculate the solar shading situation by the location and time of the solar eclipse, and then prepare in advance to reduce the impact of grid ramping event. The purpose of this paper is to predict the movement path of cloud blocks and estimate the solar shading by cloud blocks, and to estimate the variation of solar irradiance through Long Short-Term Memory (LSTM) network in order to provide dispatchers or Energy Management System (EMS) to effectively respond to the impact of cloud blocks on the power grid in advance.",

keywords = "All-sky image, LSTM, Optical Flow, Solar irradiance",

author = "Shuo Kao and Leu, {Yih Guang} and Chen, {Chia Hao} and Chu, {Tsai Ping}",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 International Conference on System Science and Engineering, ICSSE 2023 ; Conference date: 27-08-2023 Through 28-08-2023",

year = "2023",

doi = "10.1109/ICSSE58758.2023.10227211",

language = "English",

series = "Proceedings of 2023 International Conference on System Science and Engineering, ICSSE 2023",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "344--347",

booktitle = "Proceedings of 2023 International Conference on System Science and Engineering, ICSSE 2023",

}

TY - GEN

T1 - Intelligent Prediction of Cloud Movement Path

AU - Kao, Shuo

AU - Leu, Yih Guang

AU - Chen, Chia Hao

AU - Chu, Tsai Ping

PY - 2023

Y1 - 2023

N2 - Due to the proportion of solar power generation in the power grid gradual increasing, weather forecasting plays an important role in the operation of power grid. In the case of a solar eclipse, the solar power generation will be influenced severely. In order to maintain grid stability, grid operations can precisely calculate the solar shading situation by the location and time of the solar eclipse, and then prepare in advance to reduce the impact of grid ramping event. The purpose of this paper is to predict the movement path of cloud blocks and estimate the solar shading by cloud blocks, and to estimate the variation of solar irradiance through Long Short-Term Memory (LSTM) network in order to provide dispatchers or Energy Management System (EMS) to effectively respond to the impact of cloud blocks on the power grid in advance.

AB - Due to the proportion of solar power generation in the power grid gradual increasing, weather forecasting plays an important role in the operation of power grid. In the case of a solar eclipse, the solar power generation will be influenced severely. In order to maintain grid stability, grid operations can precisely calculate the solar shading situation by the location and time of the solar eclipse, and then prepare in advance to reduce the impact of grid ramping event. The purpose of this paper is to predict the movement path of cloud blocks and estimate the solar shading by cloud blocks, and to estimate the variation of solar irradiance through Long Short-Term Memory (LSTM) network in order to provide dispatchers or Energy Management System (EMS) to effectively respond to the impact of cloud blocks on the power grid in advance.

KW - All-sky image

KW - LSTM

KW - Optical Flow

KW - Solar irradiance

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BT - Proceedings of 2023 International Conference on System Science and Engineering, ICSSE 2023

PB - Institute of Electrical and Electronics Engineers Inc.

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Y2 - 27 August 2023 through 28 August 2023

ER -

Intelligent Prediction of Cloud Movement Path

摘要

出版系列

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ASJC Scopus subject areas

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