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| DC Field | Value | Language |
|---|---|---|
| dc.contributor.advisor | Woo, Han-Gyun | - |
| dc.contributor.author | Shin, Sun youn | - |
| dc.date.accessioned | 2024-06-07T16:50:52Z | - |
| dc.date.available | 2024-06-07T16:50:52Z | - |
| dc.date.issued | 2022-02 | - |
| dc.description.degree | Master | - |
| dc.description | Graduate School of Interdisciplinary Management Department of Business Analytics | - |
| dc.identifier.uri | https://scholarworks.unist.ac.kr/handle/201301/82937 | - |
| dc.identifier.uri | http://unist.dcollection.net/common/orgView/200000604424 | - |
| dc.language | eng | - |
| dc.publisher | Ulsan National Institute of Science and Technology (UNIST) | - |
| dc.rights.embargoReleaseDate | 9999-12-31 | - |
| dc.rights.embargoReleaseTerms | 9999-12-31 | - |
| dc.subject | South Korea, Artificial Neural Network, Random Forest, XGBoost, LSTM, Energy Consumption, Total Energy Supply, Forecasting, Deep learning, Sustainable energy policy | - |
| dc.title | ENERGY CONSUMPTION FORECASTING IN SOUTH KOREA USING MACHINE LEARNING ALGORITHMS | - |
| dc.type | Thesis | - |
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