• 전기학회논문지
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• 제68권3호
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• pp.405-415
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• 2019

The considerations of the electrical device' characteristics and the customers' satisfaction have been important criteria for efficient smart grid systems. In general, an electrical device is classified into a non-interruptible device or an interruptible device. The consideration of the type is an essential information for the efficient smart grid scheduling. In addition, customers' scheduling preferences or satisfactions have to be considered simultaneously. However, the existing research studies failed to consider both criteria. This paper proposes a new and efficient smart grid scheduling framework considering both criteria. The framework consists of two modules - 1) A day-head smart grid scheduling algorithm and 2) Real-time sudden demand negotiation framework. The first method generates the smart grid schedule efficiently using an embedded genetic algorithm with the consideration of the device's characteristics. Then, in case of sudden electrical demands, the second method generates the more efficient real-time smart grid schedules considering both criteria. In order to show the effectiveness of the proposed framework, comparisons with the existing relevant research studies are provided under various electricity demand scenarios.

• 재활간호학회지
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• 제6권2호
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• pp.226-238
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• 2003

This study was started for the purpose of providing the basic data for continous managment of kidney transplantation patients after discharge. This study was conducted on 180 patients who received renal transplants at three hospital( B, M, P) pusan, korea. The data collection was done for june 1, to August 31, 2002. General characteristics, renal transplantaton characteristics, physical characteristics, the level of compliance and the degree of educational demand were done by the number and percentage, the mean, standard deviation. The level of compliance and educational demand followed by the characteristics of general and kidney transplantation were analyzed by t-test and ANOVA. The result were as fallows; 1. Man was higher than woman such as 60.0%, Mean age was 42.5 years old, Average total duration of after operation was 5.5 years. 2. Cases of systolic blood pressure over 140mmHg were 10.0%, cases of diastolic blood pressure over 90mmHg were 22.8% and obesity factor in BMI was 15.6%. The person who daily water intake amount is 5000cc was 0.6%, the case that daily urine output is below 1000cc was 8.9%, and the case that urine output is zero was 0.6%. 3. The mean score of compliance was 77.47 point, The score in medication part was highest such as 4.67 point, that in stress situation was lowest such as 3.50 point. 4. The average score of educational demand was 154.02 point, and physical state part was 4.36 points highest, activation part was 3.48 points lowest. As a role of nurse Confirmation of compliance is very important encourage to make good through regular hospital visitation, point out the noncompliance part and then increase compliance of renal transplantation patient As well there will be maintain the normal kidney function to satisfy educational demand through continous education.

• 대한건축학회논문집:계획계
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• 제35권1호
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• pp.11-18
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• 2019

There is a growing demand for public rental housing since housing price increased rapidly and socially vulnerable people need more stable housing. The purpose of this study is to investigate housing evaluation (satisfaction), moving plan, and residential service according to the type of the public rental housing and the characteristics of the resident, and to suggest the development direction for comprehensive housing services including the community level. Data used for analysis in this study are from 2016 Seoul panel survey of public rental housing residents. A total of 3009 questionnaire from public rental households were collected in 2016 Seoul panel survey. In order to investigate housing requirements, we analyzed household characteristics, housing satisfaction, moving plans, welfare services, residential activities and community facilities, social environment. In this study, the difference of residential satisfaction, moving plan, and residential service according to the type of the public rental housing and the characteristics of the resident is analyzed to identify their housing demands. As a result, there were differences in residential satisfaction, moving plan, and residential service depending on type of public rental housing and characteristics of residents. Residents in public rental housing modified from the multi-family housing after purchase showed lower residential satisfaction, and higher intention for moving plan compared to residents living in other type of public rental housing. In the residential service, residents in permanent lease type have higher experience of housing service as well as demand on housing service. Especially single household, elderly household, female household, or household with handicapped person indicated higher demand for housing services.

• Environmental Engineering Research
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• 제15권3호
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• pp.135-140
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• 2010

With the various urban characteristics of each city, the existing water demand prediction, which uses average liter per capita day, cannot be used to achieve an accurate prediction as it fails to consider several variables. Thus, this study considered social and industrial factors of 164 local cities, in addition to population and other directly influential factors, and used main substance and cluster analyses to develop a more efficient water demand prediction model that considers unique localities of each city. After clustering, a multiple regression model was developed that proved that the $R^2$ value of the inclusive multiple regression model was 0.59; whereas, those of Clusters A and B were 0.62 and 0.74, respectively. Thus, the multiple regression model was considered more reasonable and valid than the inclusive multiple regression model. In summary, the water demand prediction model using principal component and cluster analyses as the standards to classify localities has a better modification coefficient than that of the inclusive multiple regression model, which does not consider localities.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2005년도 제36회 하계학술대회 논문집 A
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• pp.804-806
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• 2005

In this paper, a new probabilistic generation modeling method which can address the characteristics of changed electricity industry is proposed. The major contribution of this paper can be captured in the development of a probabilistic generation modeling considering generator maintenance outage and in the classification of market demand into multiple demand clusters for the applications to electricity markets. Conventional forced outage rates of generators are conceptually combined with maintenance outage of generators and, consequently, effective outage rates of generators are new iy defined in order to properly address the probabilistic characteristic of generation in electricity markets. Then, original market demands are classified into several distinct demand clusters, which are defined by the effective outage rates of generators and by the inherent characteristic of the original demand. We have found that generators have different effective outage rates values at each classified demand cluster, depending on the market situation. From this, therefore, it can be seen that electricity markets can also be classified into several groups which show similar patterns and that the fundamental characteristics of power systems can be more efficiently analyzed in electricity markets perspectives, for this classification can be widely applicable to other technical problems in power systems such as generation scheduling, power flow analysis, price forecasts, and so on.

• 산업경영시스템학회지
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• 제28권2호
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• pp.146-151
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• 2005

Some distributions have been used for diagnosing the lead time demand distribution in inventory system. In this paper, we describe the negative binomial distribution as a suitable demand distribution for a specific retail inventory management application. We here assume that customer order sizes are described by the Poisson distribution with the random parameter following a gamma distribution. This implies in turn that the negative binomial distribution is obtained by mixing the mean of the Poisson distribution with a gamma distribution. The purpose of this paper is to give an interpretation of the negative binomial demand process by considering the sources of variability in the unknown Poisson parameter. Such variability comes from the unknown demand rate and the unknown lead time interval.

• 가정과삶의질연구
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• 제15권3호
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• pp.163-180
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• 1997

The purpose of this study were to identify the differences between the demand for education program and the demand for counseling program of family welfare and to analyze the relation between demographic characteristics and the demand for family welfare service program For these purposes, total sample of 909 women those residing in Seoul, Inchon, Taejun, Taegu, Pusan, Kwangju, Chungju, Junju and Choonchun, were selected. Statistics were frequencies, means, percentile, cross-tabulation, t-test and Anova. The results were as follows. First, in family welfare service program on children and adolescents, the improvement in family living, consumption, retirement planning, health management, protection of environment and resource, volunteering and the advance of living culture, the demand for education program were higher than the demand for cunseling program. In particular, demands for both education program and counseling program on children and adolescents were the highest. Second, age, residence and income had very significant effects on the demands for both education program and counseling program. By understanding these differences in the demand for education program and counseling program of family welfare, practitioners and educators may be able to develop family welfare service program to solve family problems.

• 산업경영시스템학회지
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• 제28권4호
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• pp.79-84
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• 2005

Some distributions have been used for diagnosing the lead time demand distribution in inventory system. In this paper, we describe the negative binomial distribution as a suitable demand distribution for a specific retail inventory management application. We here assume that customer order sizes are described by the Poisson distribution with the random parameter following a gamma distribution. This implies in turn that the negative binomial distribution is obtained by mixing the mean of the Poisson distribution with a gamma distribution. The purpose of this paper is to give an interpretation of the negative binomial demand process by considering the sources of variability in the unknown Poisson parameter. Such variability comes from the unknown demand rate and the unknown lead time interval.

• 한국의류산업학회지
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• 제12권3호
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• pp.372-380
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• 2010

The purpose of this study were to investigate a preference and demand performance of UV protective hat for outdoor sports activities. Data collected from 259 adults from survey were analyzed by frequence analysis, crosstabs, t-test, and ANOVA using SPSS 17.0. The results are as follows. A demand performanc of UV protective hats were a demand performance for designs, colors, fabrics, lightness, UV protection, and easy care. It showed that the respondents worn the hats for skin health and didn't wear for sun block. The demand performance of UV protective hat showed difference according to gender and age. The favorite type of UV protective hat was cap, and there was no difference between young and old age. Male preferred the cap styles, while female preferred the wide brim styles for UV protection. The preferred fiber contents of the respondents were cotton and functional fiber.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2005년도 ICCAS
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• pp.1379-1383
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• 2005

Introducing the market into the electricity industry lets the multiple participants get into new competition. These multiple participants of the market need new business strategies for providing value added services to customer. Therefore they need the accurate customer information about the electricity demand. Demand characteristic is the most important one for analyzing customer information. In this study load profile data, which can be collected through the Automatic Meter Reading System, are analyzed for getting demand patterns of customer. The load profile data include electricity demand in 15 minutes interval. An algorithm for clustering similar demand patterns is developed using the load profile data. As results of classification, customers are separated into several groups. And the representative curves for the groups are generated. The number of groups is automatically generated. And it depends on the threshold value for distance to separate groups. The demand characteristics of the groups are discussed. Also, the compositions of demand contracts and standard industrial classification in each group are presented. It is expected that the classified curves will be used for tariff design, load forecasting, load management and so on. Also it will be a good infrastructure for making a value added service related to electricity.