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

References

1 
Q. Sun, S. A. Javeed, Y. Tang, Y. Feng, "The impact of housing prices and land financing on economic growth: Evidence from Chinese 277 cities at the prefecture level and above," PLOS ONE, vol. 19, no. 4, 2024. DOI
2 
I. Min, "The impact of the disclosure of direct transaction information on housing sale prices and transaction volume," The Korea Spatial Planning Review, vol. 117, pp. 167-179, 2023. DOI
3 
S. Rosen, "Hedonic prices and implicit markets: Product differentiation in pure competition," Journal of Political Economy, vol. 82, no. 1, pp. 34-55, 1974. DOI
4 
Q. Zhang, "Housing price prediction based on multiple linear regression," Scientific Programming, vol. 2021, 2021. DOI
5 
G. W. Crawford, M. C. Fratantoni, "Assessing the forecasting performance of regime-switching, ARIMA and GARCH models of house prices," Real Estate Economics, vol. 31, no. 2, pp. 223-243, 2003. DOI
6 
E. A. Antipov, E. B. Pokryshevskaya, "Mass appraisal of residential apartments: An application of Random Forest for valuation and a CART-based approach for model diagnostics," Expert Systems with Applications, vol. 39, no. 2, pp. 1772-1778, 2012. DOI
7 
H. Kim, Y. Kwon, Y. Choi, "Assessing the impact of public rental housing on the housing prices in proximity: Based on the regional and local level of price prediction models using long short-term memory (LSTM)," Sustainability, vol. 12, no. 18, pp. 7520, 2020. DOI
8 
A. S. Temür, M. Akgün, G. Temür, "Predicting housing sales in Turkey using ARIMA, LSTM and hybrid models," Journal of Business Economics and Management, vol. 20, no. 5, pp. 920-938, 2019. DOI
9 
K. C. Chiu, "A long short-term memory model for forecasting housing prices in Taiwan in the post-epidemic era through big data analytics," Asia Pacific Management Review, vol. 29, no. 3, pp. 273-283, 2024. DOI
10 
N. K. Kishor, "Forecasting house prices: The role of fundamentals, credit conditions, and supply indicators," Journal of Real Estate Finance and Economics, vol. 70, no. 1, pp. 121-143, 2025. DOI
11 
C. Ge, "A LSTM and Graph CNN combined network for community house price forecasting," 2019. DOI
12 
F. Moghimi, R. A. Johnson, A. Krause, "Rethinking real estate pricing with Transformer graph neural networks (T-GNN)," 2023. DOI
13 
J. Kim, Y. Lee, M. H. Lee, S. Y. Hong, "A comparative study of machine learning and spatial interpolation methods for predicting house prices," Sustainability, vol. 14, no. 15, pp. 9056, 2022. DOI
14 
Z. A. Sellam, C. Distante, A. Taleb-Ahmed, P. L. Mazzeo, Article no. 125276, "Boosting house price estimations with multi-head gated attention," Expert Systems with Applications, vol. 259, 2025. DOI
15 
R. Cellmer, K. Kobylińska, "Housing price prediction - machine learning and geostatistical methods," Real Estate Management and Valuation, vol. 33, no. 1, pp. 1-10, 2025. DOI
16 
H. Y. Zhang, Z. S. Song, Z. Chen, "An approach for constructing spatially paired pseudo repeat-sales housing price indices in China," Journal of Housing and the Built Environment, vol. 40, no. 1, pp. 1-17, 2025. DOI
17 
H. Park, J. H. Kim, "A study on the estimation of Seoul apartment price index using spatiotemporal autoregression model," The Korea Spatial Planning Review, vol. 42, pp. 8, 2004. Google Search
18 
S. W. Bae, J. S. Yu, "Predicting the real estate price index using machine learning methods and time series analysis model," Housing Studies Review, vol. 26, no. 1, pp. 107-133, 2018. DOI
19 
J. Lee, J. P. Ryu, "Prediction of housing price index using artificial neural network," Journal of the Korea Academia-Industrial cooperation Society, vol. 22, no. 4, pp. 228-234, 2021. DOI
20 
J. Lee, H. Kim, G. Shim, "Prediction model of real estate transaction price with the LSTM model based on ai and bigdata," The International Journal of Advanced Culture Technology, vol. 10, no. 1, pp. 274-283, 2022. DOI
21 
E. J. Han, S. H. Chun, no. 127748, "A long short-term memory model using kernel density estimation for forecasting apartment prices in Seoul city," Expert Systems with Applications, vol. 283, 2025. DOI
22 
brainer3220, Available: https://www.kaggle.com/datasets/brainer3220/korean-real-estate-transaction-data, "Korean Apartment Deal Data, Kaggle," 2023. DOI