Mobile QR Code QR CODE : Korean Journal of Air-Conditioning and Refrigeration Engineering
Korean Journal of Air-Conditioning and Refrigeration Engineering

Korean Journal of Air-Conditioning and Refrigeration Engineering

ISO Journal TitleKorean J. Air-Cond. Refrig. Eng.
  • Open Access, Monthly
Open Access Monthly
  • ISSN : 1229-6422 (Print)
  • ISSN : 2465-7611 (Online)
Online Submission

Journal Search

  1. Home
  2. Archive
  3. 2025-02 (Vol.37 No.02)
  4. 10.6110/KJACR.2025.37.2.72
XML PDF INFO REF

References

1 
Choi, W. and Lee, S., 2023, Performance evaluation of deep learning architectures for load and temperature forecasting under dataset size constraints and seasonality, Energy and Buildings, Vol. 288, 113027.DOI
2 
Langtry, M., Wichitwechkarn, V., Ward, R., Zhuang, C., Kreitmair, M. J., Makasis, N., Xuereb Conti, Z., and Choudhary, R., 2024, Impact of data for forecasting on performance of model predictive control in buildings with smart energy storage, Energy and Buildings, Vol. 320, 114605.DOI
3 
Choi, W. and Lee, S., 2023, Interpretable deep learning model for load and temperature forecasting: Depending on encoding length, models may be cheating on wrong answers, Energy and Buildings, Vol. 297, 113410.DOI
4 
Fan, C., Sun, Y., Xiao, F., Ma, J., Lee, D., Wang, J., and Tseng, Y. C., 2020, Statistical investigations of transfer learning-based methodology for short-term building energy predictions, Applied Energy, Vol. 262, 114499.DOI
5 
Pinto, G., Wang, Z., Roy, A., Hong, T., and Capozzoli, A., 2022, Transfer learning for smart buildings: A critical review of algorithms, applications, and future perspectives, Advances in Applied Energy, Vol. 5, 100084.DOI
6 
Yue, Z., Wang, Y., Duan, J., Yang, T., Huang, C., Tong, Y., and Xu, B., 2022, TS2Vec: Towards Universal Representation of Time Series, The Association for the Advancement of Artificial Intelligence, Vol. 36, No. 8, pp. 8980-8987.DOI
7 
Langtry, M. and Choudhary, R., 2024, Cambridge University Estates building energy usage archive, Zenodo, https://doi.org/10.5281/zenodo.10955332.DOI
8 
Met Office, 2022, MIDAS open: UK hourly weather observation data, v202207, NERC EDS Centre for Environmental Data Analysis, https://doi.org/10.5285/6180fb7ed76a442eb1b8f3f152fd08d7.DOI
9 
Pfenninger, S. and Staffell, I., 2016, Long-term patterns of European PV output using 30 years of validated hourly reanalysis and satellite data, Energy, Vol. 114, pp. 1251-1265.DOI
10 
Staffell, I. and Pfenninger, S., 2016, Using bias-corrected reanalysis to simulate current and future wind power output, Energy, Vol. 114, pp. 1224-1239.DOI
11 
Yu, F. and Koltun, V., 2016, Multi-scale context aggregation by dilated convolutions, arXiv, https://doi.org/10.48550/arXiv.1511.07122.DOI