• Journal of information and communication convergence engineering
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• v.21 no.4
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• pp.261-267
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• 2023

Public research, which requires large computational resources, utilizes the supercomputers of the National Supercomputing Center in the Republic of Korea. The average utilization rate of resources over the past three years reached 80%. Therefore, to ensure the operational stability of this national infrastructure, specialized centers have been established to distribute the computational demand concentrated in the national centers. It is necessary to predict the computational demand accurately to build an appropriate resource scale. Therefore, it is important to estimate the inflow and outflow of computational demand between the national and specialized centers to size the resources required to construct specialized centers. We conducted a logit model analysis using the probabilistic utility theory to derive the preferences of individual users for future supercomputer resources. This analysis shows that the computational demand share of specialized centers is 59.5%, which exceeds the resource utilization plan of existing specialized centers.

• Korean System Dynamics Review
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• v.7 no.1
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• pp.67-90
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• 2006

A series of system dynamics model was developed for forecasting demand and supply of human resource in the electricity industry. To forecast demand of human resource in the electric power industry, BLS (Bureau of Labor Statistics) methodology was used. To forecast supply of human resource in the electric power industry, forecasting on the population of our country and the number of students in the department of electrical engineering were performed. After performing computer simulation with developed system dynamics model, it is discovered that the shortage of human resource in the electric power industry will be 3,000 persons per year from 2006 to 2015, and more than a double of current budget is required to overcome this shortage of human resource.

• Environmental and Resource Economics Review
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• v.11 no.1
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• pp.81-97
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• 2002

Unlike the existing supply-centered water policy, demand management policy of water has become an increasingly important issue in Korea. This paper attempts to analyse the demand for domestic water in Seoul. We employed Engle-Granger's error correction model(ECM) to deduced the price and income elasticities of the water demand. Particularly, we used accounted water amounts instead of supplied water amounts as representative variable of water demand. The result indicates that ECM set up is appropriate and short-run and long-run price elasticities derived by the model are -0.145 and -1.414. In contrast with other studies, we can conclude that the water demand for the water price is elastic. Besides, we can infer from this result that the water price policy with respect to a decrease of leakage ratio is more effective.

• Journal of Korean Society of Environmental Engineers
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• v.33 no.11
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• pp.797-803
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• 2011

In this study, we developed the assessment method that evaluate the water demand management and calculate the water saving volume using water use indicator, and developed the system to link the water saving volume that occur through demand management and water supply and demand. The results from this study, local governments with poor water conditions should be followed to improve the water supply. And, future water demand estimates should be even considering it. We calculated the water saving volume of the Geum River basin using K-WEAP (Korea-Water Evaluation And Planning System) and performed the water budget analysis. We found that the change of river flow, ground water level and reservoir water level, and it can be utilized for other demand.

• Environmental and Resource Economics Review
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• v.9 no.2
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• pp.333-347
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• 2000

We employed various econometic methods to estimate the production index elasticity and the price elasticity of elecricity demand in Korea and compared the forecasting power of those methods. Cointegration models (ADL model, Engle-Granger model, Full Informtion Maximum Likelihood method by Johansen and Juselius) and Dynamic OLS by Stock and Watson were considered. The forecasting power test shows that Dynamic OLS has the best forecasting power. According to Dynamic OLS, the production index elasticity and the price elasticity of electricity demand in Korea are 0.13 and -0.40, respectively.

• Environmental and Resource Economics Review
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• v.11 no.3
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• pp.447-463
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• 2002

The heat demand prediction is an essential issue in management of district heating system. Without an accurate prediction through the lead-time period, it might be impossible to make a rational decision on many issues such as heat production scheduling and heat exchange among the plants which are very critical for the district heating company. The heat demand varies with the temperature as well as the time nonlinearly. And the parametric specification of the heat demand model would cause a misspecification bias in prediction. A nonparametric model for the short-term heat demand prediction has been developed as an alternative to avoiding the misspecification error and tested with the actual data. The prediction errors are reasonably small enough to use the model to predict a few hour ahead heat demand.

• Environmental and Resource Economics Review
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• v.16 no.4
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• pp.781-802
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• 2007

This study estimates a demand function for municipal water in Seoul area using a Stone-Geary functional form. The Stone-Geary model offers more precise estimates for price elasticity of water demand since it explicitly separates 'basic demand' which is not influenced by the price from 'economic demand' which depends on the price. Our results show that about 84% of the total water demand is the basic demand. The results suggest that the minimum consumption range m stepwise price system should be lowered from $30m^3$ to $15m^3$ per month.

• Journal of Families and Better Life
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• v.20 no.2
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• pp.43-56
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• 2002

While there is universal agreement that the ecosystems approach to family resource management is the must influential currently, questions have arisen about the broad applicability of the Deacon & Firebaugh (1988) ecosystems framework. Engberg (1996) has characterized the dominant approach in family resource management as technical and argued that a technical approach substantially restricts feasible actions in much of the world and should not be used in ethical practice. The purpose of the present paper is to compare the family resource management patterns by dual role manager of business owning families in Korea and The United States. Such a comparison is an essential step in the assessment of the usefulness of the Deacon & Firebaugh framework, in particular, and the ecosystems framework, more generally. Korean respondents are 105 family and business managers interviewed in 2000 as part of a survey of owners of small to medium size family business enterprises in Seoul. U.S. respondents are 259 dual role managers in the National Family Business Survey (NFBS 1997). Chi squared statistics indicated country differences on each of the ten(goal setting, standard setting, demand clarification, resource assessment, action sequencing, actuating, checking, adjusting, demand responses, resource change)management practices. Mean responses on eight of the practices(goal setting, standard setting, action sequencing, actuating, checking, adjusting, demand responses, resource changes) were significantly different between two countries. U.S. total score means of family resource management were higher than Korea. Factor analysis of the management scale items yielded different patterns for Korea, and the United States. Korean dual role manager of family business were categorized into three different patterns as classic oriented manager, goal oriented manager, action oriented manager and U.S. were categorized into Process oriented manager and Production oriented manager. Both the number of managerial strategies and the types of strategies used varied in the two countries.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.60 no.12
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• pp.2221-2224
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• 2011

During an emergency due to a shortage of power, a load aggregator (LA) can use the demand response operation system to deploy demand response resources (DRRs) through various demand response (DR) programs. This paper introduces the demand response operation system for a load aggregator to manage various demand response resources in a smart grid environment.

• Proceedings of the Korean System Dynamics Society
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• 2006.04a
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• pp.101-122
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• 2006

A series of system dynamics model was developed for forecasting demand and supply of human resource in the electricity industry. To forecast demand of human resource in the electric power industry, BLS (Bureau of Labor Statistics) methodology was used. To forecast supply of human resource in the electric power industry, forecasting on the population of our country and the number of students in the department of electrical engineering were performed. After performing computer simulation with developed system dynamics model, it is discovered that the shortage of human resource in the electric power industry will be 3,000 persons per year from 2006 to 2015, and more than a double of current budget is required to overcome this shortage of human resource.