A Study on the Energy Usage Prediction and Energy Demand Shift Model to Increase Energy Efficiency
JaeHwan Kim, SeMo Yang, KangYoon Lee, Journal of Internet Computing and Services, Vol. 24, No. 2, pp. 57-66, Apr. 2023
10.7472/jksii.2023.24.2.57, Full Text:
Keywords: Energy, Energy usage fee, LSTM, clustering, Time Series K-means, shift of demand
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Cite this article
[APA Style]
Kim, J., Yang, S., & Lee, K. (2023). A Study on the Energy Usage Prediction and Energy Demand Shift Model to Increase Energy Efficiency. Journal of Internet Computing and Services, 24(2), 57-66. DOI: 10.7472/jksii.2023.24.2.57.
[IEEE Style]
J. Kim, S. Yang, K. Lee, "A Study on the Energy Usage Prediction and Energy Demand Shift Model to Increase Energy Efficiency," Journal of Internet Computing and Services, vol. 24, no. 2, pp. 57-66, 2023. DOI: 10.7472/jksii.2023.24.2.57.
[ACM Style]
JaeHwan Kim, SeMo Yang, and KangYoon Lee. 2023. A Study on the Energy Usage Prediction and Energy Demand Shift Model to Increase Energy Efficiency. Journal of Internet Computing and Services, 24, 2, (2023), 57-66. DOI: 10.7472/jksii.2023.24.2.57.