Abstract
The utility center is the most important power supplier in campus. Once the power of utility center is break, trouble, or trip, usually, it directly affects lab and internet in campus. This paper takes the example from one of technical universities in Taiwan. The 5W1H method is used to analyze the existing situation of utility center, and to make sure all of the power quality factors from the utility center. After that, the best model is created by Interpretive Structural Model for power quality of utility center in campus. Finally, the Gray System Theory is applied to find the important items, which affect the power quality. Through the Grey Model, includes GM(0, N) and GM(1,1), the weighting analysis and predictions are realize, which not only offers the best ways to relevant departments, but also directly gives the best suggestions to relevant administers, and guarantees the power quality of utility center in campus.
| Original language | English |
|---|---|
| Title of host publication | Conference Record of the 2007 IEEE Industry Applications Conference 42nd Annual Meeting, IAS |
| Pages | 764-770 |
| Number of pages | 7 |
| DOIs | |
| Publication status | Published - 2007 Dec 1 |
| Event | 2007 IEEE Industry Applications Conference 42nd Annual Meeting, IAS - New Orleans, LA, United States Duration: 2007 Sep 23 → 2007 Sep 27 |
Publication series
| Name | Conference Record - IAS Annual Meeting (IEEE Industry Applications Society) |
|---|---|
| ISSN (Print) | 0197-2618 |
Other
| Other | 2007 IEEE Industry Applications Conference 42nd Annual Meeting, IAS |
|---|---|
| Country | United States |
| City | New Orleans, LA |
| Period | 07-09-23 → 07-09-27 |
Fingerprint
All Science Journal Classification (ASJC) codes
- Control and Systems Engineering
- Industrial and Manufacturing Engineering
- Electrical and Electronic Engineering
Cite this
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Applied grey system theory to power quality of utility center in campus. / Lin, Chin Kuei; Wei, Jong-Bi; Lee, Yuan Piao; Yeh, Cheng Kai.
Conference Record of the 2007 IEEE Industry Applications Conference 42nd Annual Meeting, IAS. 2007. p. 764-770 4347869 (Conference Record - IAS Annual Meeting (IEEE Industry Applications Society)).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
TY - GEN
T1 - Applied grey system theory to power quality of utility center in campus
AU - Lin, Chin Kuei
AU - Wei, Jong-Bi
AU - Lee, Yuan Piao
AU - Yeh, Cheng Kai
PY - 2007/12/1
Y1 - 2007/12/1
N2 - The utility center is the most important power supplier in campus. Once the power of utility center is break, trouble, or trip, usually, it directly affects lab and internet in campus. This paper takes the example from one of technical universities in Taiwan. The 5W1H method is used to analyze the existing situation of utility center, and to make sure all of the power quality factors from the utility center. After that, the best model is created by Interpretive Structural Model for power quality of utility center in campus. Finally, the Gray System Theory is applied to find the important items, which affect the power quality. Through the Grey Model, includes GM(0, N) and GM(1,1), the weighting analysis and predictions are realize, which not only offers the best ways to relevant departments, but also directly gives the best suggestions to relevant administers, and guarantees the power quality of utility center in campus.
AB - The utility center is the most important power supplier in campus. Once the power of utility center is break, trouble, or trip, usually, it directly affects lab and internet in campus. This paper takes the example from one of technical universities in Taiwan. The 5W1H method is used to analyze the existing situation of utility center, and to make sure all of the power quality factors from the utility center. After that, the best model is created by Interpretive Structural Model for power quality of utility center in campus. Finally, the Gray System Theory is applied to find the important items, which affect the power quality. Through the Grey Model, includes GM(0, N) and GM(1,1), the weighting analysis and predictions are realize, which not only offers the best ways to relevant departments, but also directly gives the best suggestions to relevant administers, and guarantees the power quality of utility center in campus.
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UR - http://www.scopus.com/inward/citedby.url?scp=47849084027&partnerID=8YFLogxK
U2 - 10.1109/IAS.2007.120
DO - 10.1109/IAS.2007.120
M3 - Conference contribution
AN - SCOPUS:47849084027
SN - 1424403642
SN - 9781424403646
T3 - Conference Record - IAS Annual Meeting (IEEE Industry Applications Society)
SP - 764
EP - 770
BT - Conference Record of the 2007 IEEE Industry Applications Conference 42nd Annual Meeting, IAS
ER -