• Proceedings of the Korea Water Resources Association Conference
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• 2022.05a
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• pp.156-156
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• 2022

Explicitly spatially distributed and reliable data on industrial water demand is very much important for both policy makers and researchers in order to carry a region-specific analysis of water resources management. However, such type of data remains scarce particularly in underdeveloped and developing countries. Current research is limited in using different spatially available socio-economic, climate data and geographical data from different sources in accordance to predict industrial water demand at finer resolution. This study proposes a random forest regression (RFR) model to predict the industrial water demand at 0.50× 0.50 spatial resolution by combining various features extracted from multiple data sources. The dataset used here include National Polar-orbiting Partnership (NPP)/Visible Infrared Imaging Radiometer Suite (VIIRS) night-time light (NTL), Global Power Plant database, AQUASTAT country-wise industrial water use data, Elevation data, Gross Domestic Product (GDP), Road density, Crop land, Population, Precipitation, Temperature, and Aridity. Compared with traditional regression algorithms, RF shows the advantages of high prediction accuracy, not requiring assumptions of a prior probability distribution, and the capacity to analyses variable importance. The final RF model was fitted using the parameter settings of ntree = 300 and mtry = 2. As a result, determinate coefficients value of 0.547 is achieved. The variable importance of the independent variables e.g. night light data, elevation data, GDP and population data used in the training purpose of RF model plays the major role in predicting the industrial water demand.

• Proceedings of the KSR Conference
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• 2011.10a
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• pp.3289-3298
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• 2011

The region trunk line railroad route considering regional characters is the final aim of railroad management to operators and passengers. For reflecting these aspect to make policies, The study has been performed by defining and analyzing the informations. According to the methodological and political research, First of all, The feature for demand and supply of railroad in the region trunk line railroad route is that demand aspect was excessively influenced by supply aspect. The demand sensitivity was measured very high on the supply changes. The survey, Containing the regional characters, result the railway and bus use patterns are clearly different and this feature is simiral to that of janghang and pohang district. also, In railroad case, Demand shifts from railroad to other transport sensitively. Therefore, We make some new index besides existing index, which like to management index, rate of boarding, rate of using. After that, We suggest passengers and operator's win-win alternatives.

• ETRI Journal
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• v.37 no.1
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• pp.197-202
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• 2015

A smart grid is a modernized electrical grid that uses information about the behaviors of suppliers and consumers in an automated fashion to improve the efficiency, reliability, economics, and sustainability of the production and distribution of electricity. In the operation of a smart grid, demand side management (DSM) plays an important role in allowing customers to make informed decisions regarding their energy consumption. In addition, it helps energy providers reduce peak load demand and reshapes the load profile. In this paper, we propose a new DSM scheduling scheme that makes use of the day-ahead pricing strategy. Based on the Rubinstein-Stahl bargaining model, our pricing strategy allows consumers to make informed decisions regarding their power consumption, while reducing the peak-to-average ratio. With a simulation study, it is demonstrated that the proposed scheme can increase the sustainability of a smart grid and reduce overall operational costs.

• Journal of Families and Better Life
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• v.27 no.4
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• pp.117-126
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• 2009

The purpose of this study was to analyze the difference of working mothers' work-child rearing strain and their demand on special care services according to each mother's work conditions and childcare situation. 477 working mothers who have only one child each were gathered by the use of the purposive quota sampling method and analyzed with t-test, F-test, correlation, and multiple regression. The main results showed that working mothers had high work-child rearing strain and demand on special care services when their working conditions were inflexible and they were not satisfied with the care services for their child. The major variable which explained working mothers' demand on special care services was e their work-child rearing strain.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2004.05a
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• pp.441-445
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• 2004

In this paper, we deal with an inventory model of a multi-stage, serial supply chain system where a single product type and nonstationary customer demand pattern are considered. The retailer and suppliers place their orders according to an echelon-stock based replenishment control policy. We assume that the suppliers can access online information on the demand history and use this information when making their replenishment decisions. Using a reinforcement learning technique, the inventory control parameters are designed to adaptively change as the customer demand pattern is altered, in order to maintain a given target service level. Through a simulation based experiment, we verified that our approach is good for maintaining the target service level.

• Journal of Electrical Engineering and Technology
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• v.12 no.6
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• pp.2157-2165
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• 2017

This study deals with the design of the mechanism in which demand response (DR) resources are traded in the power generation market. In general, a DR aggregator (DRA), which extends DR resources and provides technical support, is central to this mechanism. In this study, power users, called DR customer (DRC), participate in load reduction and are also modeled to participate directly in DR-related bidding. The DRA provides incentives to the DRC, indirectly impacting the market, and the DRC use the bid parameters strategically. We present the conditions for finding Nash Equilibrium (NE) in game problems of various participants including market operators, and analyze the characteristics of DRA and DRC related models. It also analyzes the impact of the participants on the market according to various types of competition and coalitions between DRA and DRC.

• Proceedings of the KSR Conference
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• 2007.11a
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• pp.758-762
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• 2007

Revenue management is a new approach method to solve the problem of supply and demand, and one of fields which is diffused quickly at the service enterprise to use perishable-asset like the transportation business. It is based on multiple fare policy that discount charge reservation should be received if the benefit value of current discount fare is more than expected profit of the normal fare reservation it will be able to occur in future when suitable goods is sold to the customers at discount fare, at the time they want, and at assigned seat by controlling supply and demand from market. In this research, I will review on initial operation case for special class goods that the seat which is limited is assigned at some of train and portion of KTX for demand dispersion and new demand creation at peak time, put a limit in purchase conditions, and provides discounted fare. I will also try to find implication for strategic operation.

• Journal of The Korea Institute of Healthcare Architecture
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• v.17 no.3
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• pp.27-33
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• 2011

The purpose of this study is to propose reasonable standards related to securing the number of parking lots of university hospital in Korea. High proportion of visitors use their cars in order to receive consultation and treatment from doctors and feel the shortage of parking capacity of hospital, resulting to the low satisfaction level in using hospital. Of course, every hospital meets the parking regulation of the government. Therefore it is necessary to consider another parking demand factors besides the parking regulation of the government in order to secure proper number of parking lots in hospital. This study proposes number of hospital beds, vicinity of public transportation, number of doctors and staffs of hospital, and peak time parking demand as the parking demand factors.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 1990.04a
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• pp.125-139
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• 1990

This paper presents a forecasting method for domestic demand of electric home appliances. Because of lack of data, some popular methods such as time series analysis may not be appropriate to forecast such a demand domestically. We suggest a systematic and practical method by considering structural parameters and variables which determine the actual demand. We use this model to forecast the demand of color TV. Since the parameters in our model may be variant according to the change of economic environment, our model leads the user to develop a dynamic model to be used in the well-known System Dynamics Approach.

• Proceedings of the KIEE Conference
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• 1995.07b
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• pp.540-542
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• 1995

When precontract pricing is applied, consumers must reserve expecting the amount of electricity to use. But Consumers expecting demand has stochastic property, expecting demand may be different from real demand. To prepare for this problem, spinning reserve is needed. Now I suggest new pricing system that someone has large variance and large elacity pays high price by the accumulated penalty factor. And I suggest the accumulated penalty factor for maximizing social welfare.