TY - GEN
T1 - Intelligent Prediction of Cloud Movement Path
AU - Kao, Shuo
AU - Leu, Yih Guang
AU - Chen, Chia Hao
AU - Chu, Tsai Ping
N1 - Funding Information:
ACKNOWLEDGMENT This work was supported by the Ministry of Science and Technology, Taiwan, under Grants MOST 111-2221-E-003-024-.
Publisher Copyright:
© 2023 IEEE.
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
UR - http://www.scopus.com/inward/record.url?scp=85171876743&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85171876743&partnerID=8YFLogxK
U2 - 10.1109/ICSSE58758.2023.10227211
DO - 10.1109/ICSSE58758.2023.10227211
M3 - Conference contribution
AN - SCOPUS:85171876743
T3 - Proceedings of 2023 International Conference on System Science and Engineering, ICSSE 2023
SP - 344
EP - 347
BT - Proceedings of 2023 International Conference on System Science and Engineering, ICSSE 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2023 International Conference on System Science and Engineering, ICSSE 2023
Y2 - 27 August 2023 through 28 August 2023
ER -