Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 허선 | - |
dc.date.accessioned | 2023-07-12T01:04:08Z | - |
dc.date.available | 2023-07-12T01:04:08Z | - |
dc.date.issued | 2016-06 | - |
dc.identifier.citation | INDUSTRIAL ENGINEERING AND MANAGEMENT SYSTEMS, v. 15, NO. 2, Page. 148-155 | - |
dc.identifier.issn | 1598-7248;2234-6473 | - |
dc.identifier.uri | http://koreascience.or.kr/article/JAKO201620853200476.page | en_US |
dc.identifier.uri | https://repository.hanyang.ac.kr/handle/20.500.11754/182838 | - |
dc.description.abstract | Existing power plants may consume significant amounts of fuel and require high operating costs, partly because of poor electrical power output estimates. This paper suggests a continuous conditional random field (C-CRF) model to predict more precisely the full-load electrical power output of a base load operated combined cycle power plant. We introduce three feature functions to model association potential and one feature function to model interaction potential. Together, these functions compose the C-CRF model, and the model is transformed into a multivariate Gaussian distribution with which the operation parameters can be modeled more efficiently. The performance of our model in estimating power output was evaluated by means of a real dataset and our model outperformed existing methods. Moreover, our model can be used to estimate confidence intervals of the predicted output and calculate several probabilities. | - |
dc.language | en | - |
dc.publisher | KOREAN INST INDUSTRIAL ENGINEERS | - |
dc.subject | Continuous Conditional Random Field | - |
dc.subject | Machine Learning | - |
dc.subject | Combined Cycle Power Plant | - |
dc.subject | Energy Saving | - |
dc.subject | Prediction | - |
dc.title | Continuous Conditional Random Field Model for Predicting the Electrical Load of a Combined Cycle Power Plant | - |
dc.type | Article | - |
dc.relation.no | 2 | - |
dc.relation.volume | 15 | - |
dc.identifier.doi | 10.7232/iems.2016.15.2.148 | - |
dc.relation.page | 148-155 | - |
dc.relation.journal | INDUSTRIAL ENGINEERING AND MANAGEMENT SYSTEMS | - |
dc.contributor.googleauthor | Ahn, Gilseung | - |
dc.contributor.googleauthor | Hur, Sun | - |
dc.sector.campus | E | - |
dc.sector.daehak | 공학대학 | - |
dc.sector.department | 산업경영공학과 | - |
dc.identifier.pid | hursun | - |
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