• 대한전기학회
Mobile QR Code QR CODE : The Transactions of the Korean Institute of Electrical Engineers
  • COPE
  • kcse
  • 한국과학기술단체총연합회
  • 한국학술지인용색인
  • Scopus
  • crossref
  • orcid

References

1 
H. Zahid, A. Zulfiqar, M. Adnan, M. S. Iqbal, A. Shah, S. E. G. Mohamed, "Global renewable energy transition: A multidisciplinary analysis of emerging computing technologies, socio-economic impacts, and policy imperatives," Results in Engineering, vol. 26, 2025. DOI
2 
V. K. Sharma, G. Monteleone, G. Braccio, C. N. Anyanwu, N. N. Aneke, "A Comprehensive Review of Green Energy Technologies: Towards Sustainable Clean Energy Transition and Global Net-Zero Carbon Emissions," Processes, vol. 13, no. 1, pp. 69, 2025. DOI
3 
F. Kourougianni, A. Arsalis, A. V. Olympios, G. Yiasoumas, C. Konstantinou, P. Papanastasiou, G. E. Georghiou, "A Comprehensive Review of Green Hydrogen Energy Systems," Renewable Energy, vol. 231, pp. 120911, 2024. DOI
4 
I. Diahovchenko, L. Petrichenko, I. Borzenkov, M. Kolcun, "Application of Photovoltaic Panels in Electric Vehicles to Enhance the Range," Heliyon, vol. 8, no. 12, 2022. DOI
5 
Korea Meteorological Administration Weather Maru, "Simple Formula for Photovoltaic Power Generation," Weather Maru Information Center, 2024. Apr. 14 Google Search
6 
M. Abdel-Nasser, K. Mahmoud, "Accurate Photovoltaic Power Forecasting Models Using Deep LSTM-RNN," Neural Computing and Applications, vol. 31, no. 7, pp. 2727-2740, 2019. DOI
7 
K. Wang, X. Qi, H. Liu, "Photovoltaic Power Forecasting Based LSTM-Convolutional Network," Energy, vol. 189, pp. 116225, 2019. DOI
8 
I. Sutskever, O. Vinyals, Q. V. Le, "Sequence to Sequence Learning with Neural Networks," vol. 27, Advances in Neural Information Processing Systems (NeurIPS), 2014. Google Search
9 
Y. J. An, T. K. Lee, K. H. Kim, "Prediction of Photovoltaic Power Generation Based on LSTM Considering Daylight and Solar Radiation Data," The Transactions of the Korean Institute of Electrical Engineers, vol. 70, no. 8, pp. 1096-1101, 2021. DOI
10 
E. H. M. Ndiaye, A. Ndiaye, M. Faye, D. Gueye, A. Ba, M. Traore, "Analysis of the impact of irradiance and temperature on photovoltaic production: A statistical and machine learning approach," MethodsX, vol. 15, 2025. DOI