TY - GEN
T1 - Solar Irradiance Forecasting Based on Electromagnetism-like Neural Networks
AU - Lee, Ke Hung
AU - Hsu, Ming Wei
AU - Leu, Yih Guang
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/12/7
Y1 - 2018/12/7
N2 - This paper studies the forecasting of solar irradiance using electromagnetism-like neural networks. First, a solar irradiance information platform is set up to collect the relevant data for the solar irradiance forecasting. The solar irradiance information platform includes a pyranometer, a single board computer, a camera and a cloud server. By integrating the software and hardware of the solar irradiance information platform, real-time solar irradiances and sky images can be captured and stored in the MySQL database of the cloud server. Then, these solar irradiances and sky images are used to establish a neural network forecasting system. An improved electromagnetism-like algorithm is used to optimize the neural network prediction system. Finally, some comparison results are given to verify the effectiveness of the method proposed in this paper.
AB - This paper studies the forecasting of solar irradiance using electromagnetism-like neural networks. First, a solar irradiance information platform is set up to collect the relevant data for the solar irradiance forecasting. The solar irradiance information platform includes a pyranometer, a single board computer, a camera and a cloud server. By integrating the software and hardware of the solar irradiance information platform, real-time solar irradiances and sky images can be captured and stored in the MySQL database of the cloud server. Then, these solar irradiances and sky images are used to establish a neural network forecasting system. An improved electromagnetism-like algorithm is used to optimize the neural network prediction system. Finally, some comparison results are given to verify the effectiveness of the method proposed in this paper.
KW - Solar irradiance
KW - electromagnetism-like algorithms and neural networks
UR - http://www.scopus.com/inward/record.url?scp=85060708864&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85060708864&partnerID=8YFLogxK
U2 - 10.1109/ICKII.2018.8569152
DO - 10.1109/ICKII.2018.8569152
M3 - Conference contribution
AN - SCOPUS:85060708864
T3 - 1st IEEE International Conference on Knowledge Innovation and Invention, ICKII 2018
SP - 365
EP - 368
BT - 1st IEEE International Conference on Knowledge Innovation and Invention, ICKII 2018
A2 - Meen, Teen-Hang
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 1st IEEE International Conference on Knowledge Innovation and Invention, ICKII 2018
Y2 - 23 July 2018 through 27 July 2018
ER -