Title page for etd-0708120-011721

URN	etd-0708120-011721	Statistics	This thesis had been viewed 159 times. Download 6 times.
Author	Chih-Yen Wang
Author's Email Address	No Public.
Department	Institute Of Mechanical Engineering
Year	2019	Semester	2
Degree	Master	Type of Document	Master's Thesis
Language	zh-TW.Big5 Chinese	Page Count	63
Title	A study on building an energy consumption baseline with Neural Network
Keyword	neural network linear regression energy baseline Energy consumption of medical institutions Energy consumption of medical institutions energy baseline linear regression neural network
Abstract	Today is an era of energy shortages. The issue of energy conservation is particularly important. There are many factors that affect the efficiency of energy using. Energy consumption must be compared on the same basis. At present, international energy management standards such as ISO50001 and IPMVP etc. To find the energy baseline as an estimation function of the energy consumption behavior of the system, a linear regression method is generally used to establish the baseline. This article uses neural network modeling to establish the baseline. In addition to the external air temperature and humidity, the energy consumption factors also consider the number of patients visiting the hospital, and take the energy use data of a medical institution in the north as an example to discuss separately The linear regression and neural network modeling are based on the estimated error level at the baseline. The results show that the neural network is closer to the actual recorded data value.
Advisor Committee	Cheng-Kuang Huang - advisor Hsias-Chung Liu - co-chair Ming-Huei Chu - co-chair
Files	etd-0708120-011721.pdf indicate access worldwide
Date of Defense	2020-07-02	Date of Submission	2020-07-08

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