• The Journal of Korean Institute of Next Generation Computing
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• v.13 no.4
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• pp.7-18
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• 2017

Electrical energy is one of the most important energy sources in modern society. Therefore, it is very important to control the supply and demand of electric power. However, the power consumption data needed to predict power demand may include the information about the private behavior of an individual, the analysis of which may raise privacy issues. In this paper, we propose a secure power demand forecasting method where regression analyses on power consumption data are conducted in a trusted execution environment provided by Intel SGX, keeping the power usage pattern of users private. We performed experiments using various regression equations and selected an equation which has the least error rate. We show that the average error rate of the proposed method is lower than those of the previous forecasting methods with privacy protection functionality.

• Journal of Korean Society of Water and Wastewater
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• v.22 no.1
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• pp.23-29
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• 2008

Throughout the analysis of field data from water distribution system, valid parameters were determined that can be included in the water service and design plan. This study investigates water consumption patterns to understand the variation of water-demand structures utilizing the pattern analysis of domestic purpose water. Water use data were collected by a public water resources management firm in Korea, Kwater, for 140 houses monitored during three years. Flow meters were installed at the faucet for drinking water, the shower booth, the laundry machine, bathroom sink, toilet, and garden faucet. Data was filtered using multiple physically meaningful criteria to improve analysis credibility. Mann Kendall and Spearman's Rho tests were used to carry out the analysis. Distinct factors of water consumption patterns can be determined for both increasing and decreasing trends of water use. Throughout the data analysis, the characterization of terms was classified and analyzed by the condition of the location of water-demand. Analysis of this data provide a physical basis for the parameter configuration of a reasonable design for a domestic water demand prediction model.

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.23 no.4
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• pp.101-107
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• 2009

The energy efficiency of existing lighting appliances has continuously been improving due to the government aid such as rebate programs and information of energy saving, etc. However, the usage pattern of lighting appliance at this moment has more been increasing higher illumination and indirect lighting method according that the taste of customers has changed variously. This paper estimates the economic evaluation and simulation for FPL45[W] lamp & ballast instead of FPL55 lamp & ballast in order to study the governmental support to demand side management.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.65 no.11
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• pp.1793-1799
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• 2016

As one of the main trends in global industries is eco-friendly energy, the interest on Electric Vehicle(EV) has been increased. However, if large amount of EVs start to charging, it could cause rapid increase in demand power of the power system. To guarantee stable operation of the power system, those unpredictable power consume should be mitigated. In this paper, therefore, we propose a practical smart EVs charging scheme to prevent the rapid increase of the demand power and also provide load flattening function. For that we considered Time-of-Use(ToU) price and actual data such as driving pattern and parameters of distribution system. Simulation results show that the proposed method provides proper load flattening function while preventing the rapid increase of the demand power of the power system.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.17 no.31
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• pp.1-10
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• 1994

The purpose of this study is to search for the most effective forecasting model for condenser with independent demand among the quantitative methods such as Brown's exponential smoothing method, Box-Jenkins method, and multiple regression analysis method. The criterion for the comparison of the above models is mean squared error(MSE). The fitting results of these three methods are as follows. 1) Brown's exponential smoothing method is the simplest one, which means the method is easy to understand compared to others. But the precision is inferior to other ones. 2) Box-Jenkins method requires much historic data and takes time to get to the final model, although the precision is superior to that of Brown's exponential smoothing method. 3) Regression method explains the correlation between parts with similiar demand pattern, and the precision is the best out of three methods. Therefore, it is suggested that the multiple regression method is fairly good in precision for forecasting our item and that the method is easily applicable to practice.

• Proceedings of the KIEE Conference
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• 2001.07a
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• pp.550-552
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• 2001

The vertically integrated power industry was divided into six generation companies and one market operator, where electricity trading was launched at power exchange. In this environment, the profits of each generation companies are guaranteed according to utilization of their own generation equipments. Especially, the electricity demand shows seasonal and weekly regular pattern, which the some capacity should be provided into ancillary service based on the past demand forecasting error and operating results of electricity market. Namely, if generation cost function is applied to SMP and BLMP as announced the previous day, the available generation capacity of the following day could be optimally distributed, and therefore contract capacity of ancillary service applied to CBP(Cost Based Pool) and TWBP(Two-Way Bidding Pool) is determined. Consequently, it is Possible to use the retained equipments optimally. This paper represents on efficient bidding strategies for generation equipments through the calculation of the contract and the application of each generator cost function based on the past demand forecasting error and market operating data.

• Proceeding of Spring/Autumn Annual Conference of KHA
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• 2005.11a
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• pp.143-146
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• 2005

The objective of this study is to provide new direction on house design in consideration of the user's life pattern. To this end, pc usage status at home, demand for pc using space, and requirements for pc room interior were analyzed. A survey was taken by parents and the SPSS win.10 was applied for analysis. The survey was conducted for 2 months, starting May 2004 to see the computer usage at home, demand and satisfaction for the computer's room. The results of this study were as follows; The oldest son or daughter in a family was the main user of the computer, posting 71%. 42percent of respondents said they used the pc in their son's and daughter's room while 36% answered living room. It reflects that the whole family want to use the pc in their sharing room, or for their children's convenience. Currently, inconvenience of space-related constraints for using the pc was not that high, which possibly stems from a lack of awareness of inconvenience in using the pc. However, the need for furniture and space for refreshment was suggested. Through this study, it is expected that new housing designs need to be made to reflect these requirements into interior design and building plan for user's convenience.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.16 no.1
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• pp.97-115
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• 2022

Smart power grid is a user friendly system that transforms the traditional electric grid to the one that operates in a co-operative and reliable manner. Demand Response (DR) is one of the important components of the smart grid. The DR programs enable the end user participation by which they can communicate with the electricity service provider and shape their daily energy consumption patterns and reduce their consumption costs. The increasing demands of electricity owing to growing population stresses the need for optimal usage of electricity and also to look out alternative and cheap renewable sources of electricity. The solar and wind energy are the promising sources of alternative energy at present because of renewable nature and low cost implementation. The proposed work models a smart home with renewable energy units. The random nature of the renewable sources like wind and solar energy brings an uncertainty to the model developed. A stochastic dual descent optimization method is used to bring optimality to the developed model. The proposed work is validated using the simulation results. From the results it is concluded that proposed work brings a balanced usage of the grid power and the renewable energy units. The work also optimizes the daily consumption pattern thereby reducing the consumption cost for the end users of electricity.

• Fashion & Textile Research Journal
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• v.8 no.2
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• pp.196-202
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• 2006

In this study the swimwear pattern focused on a typical middle-aged women's body was developed and discussed. To determine the characteristics of a typical middle-aged women's body, their actual bust were cast. According to a generated flattened body surface shell, the right side of pattern was designed considering stretching ratio of swimwear materials as shown in the figure 3. Special features of the developed swimwear pattern are a bust dart, a particularly designed lining, a power-net, and a brassiere-cup. Against a commercial swimwear pattern, the darts were applied to bust area considering its volume. The lining was attached on the entire right side except brassiere part, and power-net was added twice on belly and hip part. As a result, silhouette and body shape were improved. The new brassiere-cup was designed and made to satisfy the middle-aged women's demand about their bust volume. Swimwear fitting test was performed, and it was evaluated. The developed swimwear rated activity, body support, entire silhouette, pressure, comfortable fitting, suitability with body figure, nudity higher by comparison with a commercial swimwear, as shown in the Table 6. Specially the developed swimwear satisfied future customers about a bust, a hip, a waist, a belly area, which the middle-aged women are not confident. Reducing exposure of an armhole and upper leg area, it also satisfied them. New developed swimwear pattern will provide useful reference to swimwear businesses targeting middle-aged women.

• Journal of Korean Ophthalmic Optics Society
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• v.13 no.4
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• pp.13-17
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• 2008

Purpose: Study the method to attach to traditional pattern for the demands of eyeglasses' function which is becoming extended to cultural psychological and social aspects. Methods: To understand the symbolic characteristic of traditional pattern, especially through using palmette, embroidery, and practicing it on glasses' temple and cleaner. Results: Globalization stimulates crossing-consumption cultural trend rapidly. Thus, new glasses pattern involving Korean ethnic feature is a new source that could well adapt to this tendency. This report presents new aspect which corresponds to the demand of modern consumers. By modernizing Traditional pattern and method, we could discover the cultural value of glasses design. Conclusions: Glasses imply social position of users and became a measure that reveal a part of style that presents modern psychological language. Thus, the glasses design using traditional pattern makes a chance to change the beauty sense from western style to oriental one. And it achieves the desire of cultural consumption through glasses design.