Applying Support Vector Regression and Genetic Algorithm to Chiller Optimal Operation
博士 === 國立臺北科技大學 === 冷凍空調工程系所 === 105 === This study covers records of various parameters affecting the power consumption of air conditioning systems. Using the Support Vector Machine (SVM), the chiller power consumption model, secondary chilled water pump power consumption model, air handling unit f...
| Main Authors: | , |
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| Format: | Others |
| Language: | zh-TW |
| Online Access: | http://ndltd.ncl.edu.tw/handle/83e95j |