• 전기학회논문지
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• 제60권9호
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• pp.1668-1673
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• 2011

Recent power industries are to be progressed as moving into horizontal markets and expanding of competitive systems through promoting SmartGrid. In these environments, the information on power consumers leads to establish a part of power markets through active and real-time participations instead of participating it as a passive manner presented by a vertical integration. Also, such information should be established as a way that effectively reflects changes and market behaviors occurred in power market participants. Therefore, in this study, a method that develops consumer information models, performs integrated managements, implements registration and distribution, and forms integrated management centers is presented to commonly use the consumer information according to the change in the environment of power industries.

• 전기학회논문지
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• 제58권10호
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• pp.2052-2058
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• 2009

The standardized and open information model called common language and information exchange format should be firstly defined for the interoperable power system and two-way information exchange among the components of the power system. The information models and information exchange formats for power facilities and power system applications are being defined in power system area, but the information model and information exchange format for the consumer area are not being yet defined besides of metering information model. An architecture and open standard for the information exchange between energy service provider and consumer are required to provide various value added services through the networking with devices in consumer premise. In this paper, an architecture for the two-way communications between energy service provider and consumer is defined and psXML(power system XML) for the information exchange is designed.

• Fashion, Industry and Education
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• 제16권1호
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• pp.19-35
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• 2018

This study explores the effect of information direction and order of cosmetics power bloggers on consumer responses. A total of 488 undergraduate students participated in experiments with mock-up stimuli of sunscreen product reviews by power bloggers. The study was conducted with four stimuli of product review posts (i.e., positive reviews only, positive-negative reviews in order, negative-positive reviews in order, negative reviews only) of the power bloggers. The results showed a significant difference in consumer responses according to information direction and order of product reviews of the power bloggers. Specifically, negative reviews were considered more objective and more useful than positive reviews were. However, positivity of reviews is crucial in generating more positive attitudes toward products, greater purchase intention, and greater word-of-mouth intention. In regard to information order, the negative-positive reviews generated more positive attitudes toward the product and greater purchase intention than did the positive-negative reviews, emphasizing the importance of ending product reviews with positive information so as to create positive responses. Referring to the findings, power bloggers and marketers using bloggers as a promotional tool would benefit by carefully designing information content in consideration of an appropriate direction and order of information to better fit their purpose.

• 기술사
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• 제42권6호
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• pp.36-41
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• 2009

Smart Grid is grafting IT(information technology) techniques on existing electric power network, supplier and the consumer to do real-time exchange of information lead to both direction and energy efficiency optimization, it is a next potential electric power network method. Because of applying various distributed electric power sources, the electric power network system will follow in size and it is dispersive and it will operate independently, and it become the intelligent electric power network, which in consumer demand reacts at real-time, because of using various sensors. In this article explain concept, features, and contemporary background of Smart Grid, and describe improve reliability of the electric power quality.

• 디지털융복합연구
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• 제9권5호
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• pp.1-9
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• 2011

스마트그리드를 통해 소비자 선택 확대, 전력산업의 미래 변화에 적응과, 신재생에너지원의 사용증가 등의 여러 가지 편익을 도모 할 수 있다. 소비자는 적극적인 수요반응을 통해 시스템의 전반적인 효율성 향상에 기여하며 사업자가 제공하는 더 많은 정보에 기초하여 에너지이용 효율을 제고할 수 있다. 소비자보호를 위한 지능형전력망 정보의 수집, 활용, 보호에 대한 기본적인 법적 조항은 지능형전력망 구축 및 이용 촉진에 관한 법률에 제시되어 있다. 마지막으로 스마트그리드에 대한 소비자의 인식 제고를 위해 스마트그리드 홍보 및 교육 확대가 무엇보다 필요하다. 따라서 스마트그리드 소비자 수용성 제고 방안을 수립해야 한다는 것이다.

• 한국언론정보학보
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• 제62권
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• pp.119-139
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• 2013

스타는 우리들의 삶과 무척이나 밀착해 있다. 이들이 만든 소비문화가 수용자대중의 의식에서부터 행동에 이르기까지 커다란 영향을 미치는 것만 보아도 그렇다. 스타의 경제적인 역할도 크다. 이들은 소비문화를 확산함으로써 기업들의 상품판매를 촉진하고, 이윤 실현을 돕는다. 더구나 스타는 사람들의 일상에 깊숙이 침투해 있다. 이렇게 스타들이 인기를 바탕으로 사람들의 일상적인 담론을 지배하는데 이런 힘을 두고 스타권력이라 한다. 이에 필자는 스타권력이 어떻게 형성되고, 어떻게 자본 축적에 기여하는지 조사했다. 이 연구는 3가지 연구 문제를 설정하여 스타권력의 자본주의적 성격을 규명하고자 했다. 이 글은 정치경제학을 분석의 틀로써 이용했다. 스타의 정치경제학이란 스타가 자본 증식에 기여하는 한편 지배이념을 확산하는 기능을 행태를 비판하는 학설이다. 논의 결과 스타권력은 경쟁을 통해 인기를 얻고 이에 기초하여 시장에 영향을 준다. 그럼으로써 스타권력은 수용자대중의 일상적 담론을 지배하는 힘을 가진다. 이것이 스타권력의 원천이다.

• 수산경영론집
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• 제52권4호
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• pp.13-28
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• 2021

The purpose of this study is to compare short-term price predictive power among ARMA ARMAX and VAR forecasting models based on the MDM test using monthly consumer price data of frozen mackerel. This study also aims to help policymakers and economic actors make reasonable choices in the market on monthly consumer price of frozen mackerel. To analyze this study, the frozen wholesale prices and new consumer prices were used as variables while the price time series data were used from December 2013 to July 2021. Through the unit root test, it was confirmed that the time series variables employed in the models were stable while the level variables were used for analysis. As a result of conducting information standards and Granger causality tests, it was found that the wholesale prices and fresh consumer prices from the previous month have affected the frozen consumer prices. Then, the model with the highest predictive power was selected by RMSE, RMSPE, MAE, MAPE, and Theil's inequality coefficient criteria where the predictive power was compared by the MDM test in order to examine which model is superior. As a result of the analysis, ARMAX(1,1) with the frozen wholesale, ARMAX(1,1) with the fresh consumer model and VAR model were selected. Through the five criteria and MDM tests, the VAR model was selected as the superior model in predicting the monthly consumer price of frozen mackerel.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2012년도 춘계학술대회
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• pp.833-836
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• 2012

최대수요전력 관리 장치는 현재 사용전력을 모니터링하여 예측 전력을 계산해 수용가에서 설정한 목표전력을 초과하지 않게 부하를 제어하는 장치이다. 부하의 제어는 예측된 최대수요전력이 목표전력을 초과할 경우 경보를 발생하고 부하를 차단하는 방식을 사용하기 때문에 최대수요전력에 대한 정확한 예측이 중요하다. 전력 변동이 심한 수용가에서는 기존의 예측 방법을 사용할 경우 최대수요전력 관리가 안정적이지 못하다는 단점이 있다. 본 논문에서는 기존의 최대수요전력 예측 방법 및 지수평활방법을 살펴보고 칼만 필터를 사용한 예측 방법을 제안한다.

• 한국경영과학회지
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• 제34권3호
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• pp.29-41
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• 2009

The purpose of this paper is to develop a new classification method for predicting consumer choice based on genetic algorithm, and to validate Its prediction power over existing methods. To serve this purpose, we propose a hybrid model, and discuss Its methodological characteristics in comparison with other existing classification methods. Also, we conduct a series of experiments employing survey data of consumer choices of MP3 players to assess the prediction power of the model. The results show that the suggested model in this paper is statistically superior to the existing methods such as logistic regression model, artificial neural network model and decision tree model in terms of prediction accuracy. The model is also shown to have an advantage of providing several strategic information of practical use for consumer choice.

• 한국경영과학회:학술대회논문집
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• 한국경영과학회 2008년도 추계학술대회 및 정기총회
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• pp.1-7
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• 2008

The purpose of this paper is to develop a new classification method for predicting consumer choice based on genetic algorithm, and to validate its prediction power over existing methods. To serve this purpose, we propose a hybrid model, and discuss its methodological characteristics in comparison with other existing classification methods. Also, to assess the prediction power of the model, we conduct a series of experiments employing survey data of consumer choices of MP3 players. The results show that the suggested model in this paper is statistically superior to the existing methods such as logistic regression model, artificial neural network model and decision tree model in terms of prediction accuracy. The model is also shown to have an advantage of providing several strategic information of practical use for consumer choice.