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

References

1 
KEPCO department of distribution planning division of distribution technology, 2016, Development of high-precision distribution functionalistic equipment, pp. 2Google Search
2 
G. H. Won, I. Y. Chung, H. K. Kang, 2020, Distribution System Voltage Control based on Forecast using Machine Learning to Increase the Hosting Capacity of Renewables, Trans. KIEE, Vol. 69, pp. 1165-1173Google Search
3 
J. W. Lee, H. J. Kim, M. K. Kim, 2020, Design of Short-Term Load Forecasting based on ANN Using Bigdata, Trans. KIEE, Vol. 69, pp. 792-769DOI
4 
L. Voynichka, Machine learning for the smart grid, http:// cs229.stanford.edu/proj2014/Iliana%20Voynichka,%20Machine%20Learning%20for%20the%20Smart%20Grid.pdfGoogle Search
5 
D. L. Marino, K. Amarasinghe, M. Manic, 2016, Building energy load forecasting using deep neural networks, IECON 2016-42nd Annual Conference of the IEEE Industrial Electronics SocietyDOI
6 
Pedro Paulo Marques do Nascimento, 2016, Application of deep learning techniques on NILM, M. S. thesisGoogle Search
7 
A. Gensler, J. Henze, B. Sick, N. Raabe, 2016, Deep learning for solar power forecasting-an approach using AutoEncoder and LSTM neural networks, IEEE International Conference on Systems, Vol. manDOI