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

References

1 
Jintao Ke, 2017, Short-term forecasting of passenger demand under on-demand ride services: A spatio-temporal deep learning approach, Transportation Research Part C: Emerging Technologies, Vol. 85, pp. 591-608Google Search
2 
Farhan Mohammad Khan, 2021, Projecting the criticality of COVID-19 transmission in India using GIS and machine learning methods, Journal of Safety Science and Resilience, Vol. 2, No. 2, pp. 50-62DOI
3 
Seongyoep Jeong, 2021, Temperature prediction based on bidirectional long short-term memory and convolutional neural network combining observed and numerical forecast data, Sensors, Vol. 21, No. 3, pp. 941DOI
4 
IEA, 2020, Renewable energy market update. Paris: International Energy AgencyGoogle Search
5 
IRENA, OECD/IEA, REN21, 2018, Renewable Energy Policies in a Time of Transition, IRENAGoogle Search
6 
Hye-Jeong Lee, 2020, A Comparative Study on Acceptance of Public and Local Residents for Renewable Energy Projects: Focused on Solar, Wind, and Biomass, Innovation studies, Vol. 15, No. 1, pp. 29-61Google Search
7 
S. Hochreiter, J. Schmidhuber, 1997, Long short-term memory., Neural computation, Vol. 9, No. 8, pp. 1735-1780Google Search
8 
H. Sak, A. W. Senior, F. Beaufays, 2014, Long short-term memory recurrent neural network architectures for large scale acoustic modelingGoogle Search
9 
of Trade Industry and Energy Ministry, December, 2017, RE3020Google Search
10 
J. C. G. Franco, 2003, Maximum likelihood estimation of mean reverting processes, Real Options PracticeGoogle Search
11 
S. Särkkä, 2013, Bayesian filtering and smoothing, Cambridge university press, No. 3Google Search