• KIEAE Journal
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• 제11권5호
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• pp.91-96
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• 2011

This study is to analysis the characteristics of electric power consumption of apartments complex in Korea. This study shows the pattern of electric power consumption and correlation of each apartment complex's completion year monthly and timely. With this result, we are able to predict the demand pattern of electricity in a house and make the schedule by demand pattern. It is expected this data is used as reference of electric consumption of Daejeon area to operate the simulation tools to predict the building energy. The yearly data of 10 apartment complexes of 2010 are analyzed. The results of this study are followed. The averaged amount of electricity consumption in winter is higher as summer because of the high capacity of heating equipment. All of the house has electric base load from 0.26kWh to 0.5kWh. The average of the electricity consumption of month is shown as 310.2kWh. A week is seperated, as 4 part such as week, weekend, Saturday and Sunday. During week, the average of timely electricity consumption is shown as 0.426kWh. The Saturday consumption is 0.437kWh. The Sunday is 0.445kWh. The peak electricity consumption in summer and winter is measured. The peak consumption on summer season is 1.389kW on 22th August 64% higher than winter season 0.887kW on 3rd January.

• 대한가정학회지
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• 제37권8호
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• pp.117-132
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• 1999

This study analyzed how not only socio-economic variables but also lifestyle variables affect the expenditure and the patterns of households. The result of multiple regression analysis resealed that economic variables(e.g, income, saving, property) and lifestyle variable(e.g, enjoyment and convenience seeking type) affected the consumption expenditure. Based on the result of cluster analysis, The consumption expenditure patterns of urban households were separated as 1)necessity dominant pattern, 2)transportation $.$ communication dominant patters, 3)other consumption dominant pattern, 4)education$.$culture and recreation dominant pattern. The result of logistic analysis revealed that debt, saying and living location variables were major factors to determine the consumption expenditure patterns of urban households. But did not Influence on the Consumption Expenditure Patterns.

• 한국임상약학회지
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• 제3권1호
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• pp.21-30
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• 1993

The contents of caffeine in caffeine containing products in Korea, i.e., coffee. tea, cocoa and cola, and the individual pattern of consumption of caffeine containing beverages were studied to know the pattern of caffeine consumption. The correlation in between the amount of caffeine consumption and the obesity were also investigated. In results, the average contents of caffeine in the instant coffee was $31.8\pm4.4mg/g(mean{\pm}SD)$. The amount of caffeine in coffee were $68.2\pm13.0\;mg/cup$ in the vending machine coffee, and $76.6\pm12.1\;mg/cup$ in the coffee shop coffee. Average daily caffeine consumption per person was investigated to be 128mg with the wide range of 26mg-341mg. There was no correlation in the amount of daily caffeine consumption and the obesity.

• 대한전기학회:학술대회논문집
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• 대한전기학회 1999년도 하계학술대회 논문집 B
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• pp.646-648
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• 1999

Kalman Filter model of demand for residental water and consumption pattern were tested for their ability to explain the hourly residental demand for water in metropolitan distribution system. The hourly residental demand for water is calculated from the daily residental demand and consumption pattern. The consumption pattern which has 24 time rates is characterized by data granulization in accordance with season kind, weather and holiday. The proposed approach is applied to water distribution system of metropolitan areas in Korea and its effectiveness is checked.

• Journal of Computing Science and Engineering
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• 제5권4호
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• pp.338-345
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• 2011

Nowadays mobile devices are used for various applications such as making voice/video calls, browsing the Internet, listening to music etc. The average battery consumption of each of these activities and the length of time a user spends on each one determines the battery lifetime of a mobile device. Previous methods have provided predictions of battery lifetime using a static battery consumption rate that does not consider user characteristics. This paper proposes an approach to predict a mobile device's available battery lifetime based on usage patterns. Because every user has a different pattern of voice calls, data communication, and video call usage, we can use such usage patterns for personalized prediction of battery lifetime. Firstly, we define one or more states that affect battery consumption. Then, we record time-series log data related to battery consumption and the use time of each state. We calculate the average battery consumption rate for each state and determine the usage pattern based on the time-series data. Finally, we predict the available battery time based on the average battery consumption rate for each state and the usage pattern. We also present the experimental trials used to validate our approach in the real world.

• 한국철도학회:학술대회논문집
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• 한국철도학회 2007년도 춘계학술대회 논문집
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• pp.893-898
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• 2007

At present, one of the big characteristics in electric power market in korea is unique seller but in the near future competitions are expected in the market. so additional service for the electric power are expected. Also with development of IT technology, remote inspection for power usage are possible so as consumption pattern analysis. KORAIL is one of the biggest consumer in electric power market so it is necessary to investigate power consumption pattern. This paper presents electric load consumption pattern for representative substation like urban subway, high-speed train, industrial line and simulation program for electric power rate definition program based on billing system database. Base on the substation annual power usage DB data, the characteristic of the substation power consumption are investigated and effective electrical billing system are compared each other. Through this program it is verified that we can save more then several hundred million won for a year.

• 전기전자학회논문지
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• 제22권3호
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• pp.747-753
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• 2018

Currently, many companies have succeeded in logistics delivery experiments utilizing drone and report it. When a drone is used commercially, long-term flight is an important performance that a drone should have. However, unlike vehicles operated on the ground, drone is a vehicle that continues to consume energy when maintaining the current altitude or moving to the destination. Therefore, the drones can fly for a long time as the capacity of the battery is large, but the batteries with large capacity are restricted by heavy weight and it acts as a limiting factor in a commercial use. To address this issue, we attempt to compare how far we can fly than forward flight based on the flight pattern with the same energy consumption condition. In this paper, the comparison of energy consumption was performed in three flight pattern, forward flight without altitude change and forward flight with altitude change, by computer simulation and it shows the increasing of flight distances when the quadrotor fly with altitude change from high altitude to low altitude.

• 디지털융복합연구
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• 제14권6호
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• pp.457-466
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• 2016

본 연구는 친환경 병원을 실현하는데 도움이 되는 연구로서 병원의 전력사용량에 미치는 기상요인의 영향을 실증적으로 검증하고자 한다. 이를 위해 2009년부터 2013년까지 일별 자료를 기준으로 2개 종합병원을 대상으로 기상조건에 따른 전력 사용 패턴과 그 영향을 분석하였다. 분석결과, 병원 건물의 전력사용량에 가장 큰 영향을 미치는 기상요인은 '기온'으로 나타났고, 병원의 규모에 상관없이 유의한 영향을 미치는 것으로 나타났다. 그러나 병원의 전력소비 패턴은 병원의 규모에 따라 차이가 있었다. 큰 규모의 병원에서는 선형의 전력소비 패턴이 나타났지만 작은 규모의 병원에서는 2차 곡선의 비선형 패턴으로 나타났다. 더운 여름과 추운 겨울에 병원 건물의 전력사용량이 증가하는 전형적인 전력소비 패턴을 보이는 것으로 나타났다. 본 연구결과는 에너지 절약과 친환경 건물 개선을 위하여, 병원 건물의 기능적 특수성뿐만 아니라 기상요소를 반드시 고려해야 한다는 것을 시사한다.

• 한국철도학회:학술대회논문집
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• 한국철도학회 2005년도 추계학술대회 논문집
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• pp.119-124
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• 2005

Decision of operation performance mode to minimize the energy consumption of urban rail vehicle. This paper analyses how much acceleration and deceleration of urban rail vehicle should be applied andhow to choose an operation mode to minimize energy consumption when train runs between station within the fixed operation time. The decided operation pattern satisfying the minimum energy consumption becomes a target trajectory and a basis for the controller design criteria. To make this goal it grasps the characteristics of urban rail vehicle, realize operation energy model of urban rail vehicle and verify the accuracy of embodied model the Matlab simulation with the same operation result of real route. It searches for operation pattern to minimize operation energy by changing the acceleration and deceleration on the imaginative route and proposes operation pattern minimizing energy consumption by applying real operation data between Dolgogee-Sukgye section of Seoul Metropolitan Subway Line 6.

• 대한전기학회논문지:전력기술부문A
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• 제53권9호
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• pp.513-520
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• 2004

In the paper, we summarize the result of the experimental research for the overload criteria of domestic distribution transformers considering the electric consumption patterns of customers. For the basic characteristic data of distribution transformer overload, the actual experiments are accomplished. The field data of loads are surveyed from sample transformers for analyzing the consumption pattern of customer load. The load data acquisition devices are equipped, and the algorithm of load pattern classification is applied. In addition to this efforts, various load pattern data. in past are gathered. Then the representative load pattern of each customer type in domestic is extracted. The final results of overload criterions are presented as tabular form through the results of experiments and survey are combined. The field test of the experiment results is peformed using the special manufactured transformers, which can measure both the load and top-oil temperature of transformer. Through this, we verify that the results of field test are similar to the laboratory one and the Proposed overload criteria can be effectively applied to the real system.