컨테인먼트형 데이터센터 최적 제어 알고리즘을 위한 열환경 예측모델 개발
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 최영재 | - |
dc.contributor.author | 박보랑 | - |
dc.contributor.author | 조지현 | - |
dc.contributor.author | 문진우 | - |
dc.date.accessioned | 2021-12-20T06:43:31Z | - |
dc.date.available | 2021-12-20T06:43:31Z | - |
dc.date.issued | 2020 | - |
dc.identifier.issn | 2288-968X | - |
dc.identifier.issn | 2288-9698 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/52585 | - |
dc.description.abstract | Purpose: This study aimed at developing a temperature prediction model for a containment data center. The predictive model must be guaranteed with stability and accuracy in order to be used for real-time control. Therefore, statistical evaluation was conducted to verify the prediction performance of the proposed model. Method: The predictive models were developed using four representative machine learning algorithms. A thermodynamic based containment data center and cooling system were modeled by MATLAB & Simulink software. The initial and optimized models were evaluated by R2 and Cv(RMSE), and the model with the highest performance was applied to the simulation. Result: In the initial models, RF and ANN presented highest accuracy on R2 (0.89) and Cv(RMSE) (17.85%), respectively. After the optimization, ANN presented the best prediction performance on both R2 (0.99) and Cv(RMSE) (0.94%). The result supports the accuracy and stability of the ANN model to be used for real-time control, and based on which the optimal control algorithm will be developed on further study. | - |
dc.format.extent | 6 | - |
dc.language | 한국어 | - |
dc.language.iso | KOR | - |
dc.publisher | 한국생태환경건축학회 | - |
dc.title | 컨테인먼트형 데이터센터 최적 제어 알고리즘을 위한 열환경 예측모델 개발 | - |
dc.title.alternative | Development of Supply Air Temperature Prediction Model for Optimal Control Algorithm of Containment Data Center | - |
dc.type | Article | - |
dc.identifier.doi | 10.12813/kieae.2020.20.5.159 | - |
dc.identifier.bibliographicCitation | KIEAE Journal, v.20, no.5, pp 159 - 164 | - |
dc.identifier.kciid | ART002640454 | - |
dc.description.isOpenAccess | N | - |
dc.citation.endPage | 164 | - |
dc.citation.number | 5 | - |
dc.citation.startPage | 159 | - |
dc.citation.title | KIEAE Journal | - |
dc.citation.volume | 20 | - |
dc.publisher.location | 대한민국 | - |
dc.subject.keywordAuthor | Data Center | - |
dc.subject.keywordAuthor | Machine Learning | - |
dc.subject.keywordAuthor | Optimal Control Algorithm | - |
dc.subject.keywordAuthor | 데이터센터 | - |
dc.subject.keywordAuthor | 기계학습 | - |
dc.subject.keywordAuthor | 최적 제어알고리즘 | - |
dc.description.journalRegisteredClass | kci | - |
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