• Proceedings of the KIEE Conference
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• summer
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• pp.165-167
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• 2004

End-user electric power consumption trends shows various load curves dependant on industry, contract, season, day and time. Analysis of end-user electric power consumption trends has a key role to efficiently meet electricity demand. There are several factors of change in electricity demand such as the change of weather, international conflict, and industrial trends during summer. This paper has analyzed the analysis the end-user electric power consumption trends using the load curve during international conflict. We observed that international conflict decreased electric demand by $5.4\%$. This increase is not significant, and therefore we conclude that the international conflict has not greatly affected Korea's electricity demands. This paper provides useful information so as to mon: efficiently perform demand side management.

• Communications for Statistical Applications and Methods
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• v.29 no.1
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• pp.41-51
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• 2022

We forecast the US oil consumption level taking advantage of google trends. The google trends are the search volumes of the specific search terms that people search on google. We focus on whether proper selection of google trend terms leads to an improvement in forecast performance for oil consumption. As the forecast models, we consider the least absolute shrinkage and selection operator (LASSO) regression and the structured regularization method for large vector autoregressive (VAR-L) model of Nicholson et al. (2017), which select automatically the google trend terms and the lags of the predictors. An out-of-sample forecast comparison reveals that reducing the high dimensional google trend data set to a low-dimensional data set by the LASSO and the VAR-L models produces better forecast performance for oil consumption compared to the frequently-used forecast models such as the autoregressive model, the autoregressive distributed lag model and the vector error correction model.

• Journal of Families and Better Life
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• v.24 no.1 s.79
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• pp.299-313
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• 2006

Male consumers, who had largely been overlooked in comparison to their female counterparts, are recently emerging as a major target of marketing. The five-day workweek system and shifts in the expectation of traditional sex roles have brought about this change. This study examined changes in consumption pattems of men and analyzed relevant trends and meanings. Advertisements were chosen as data for analyses in this study because they are the most fundamental tool to stimulate consumption and also because they are the media that convey the culture of the times in the most compressed form. One thousand four hundred and seven advertisements appeared in the 19 volumes of 'Gentlemen's Quarterly,' a men's magazine, that were published between March 2001 and October 2005. These advertisements were analyzed using both quantitative and qualitative methods. From the analyses of this study, six different kinds of trends were found. In each trend, important values sought after by men through consumption, and the meanings of consumption for male consumers were explained.

• International journal of advanced smart convergence
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• v.10 no.3
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• pp.26-32
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• 2021

The purpose of this study is to identify the impact of online golf product consumers' face on symbolic consumption trends, product satisfaction and new product purchase intention. To this end, a survey was conducted on 300 customers who have purchased golf products online at golf practice centers located in Seoul, Gyeonggi Province and Chungcheongnam-do Province. Data processing was performed using SPSS 23 and AMOS 18 to analyze verifiable factors, reliability, correlation, and structural equations. We obtained the following results. First, face has been shown to have a significant impact on symbolic consumption propensity. Second, symbolic consumption tendencies have a significant impact on product satisfaction and intention to purchase new products. Third, product satisfaction has been shown to have a negative impact on the intention of purchasing new products.

• The Research Journal of the Costume Culture
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• v.21 no.4
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• pp.467-477
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• 2013

Retailers deploy new shopping value-additions to induce customers to shop more, thus driving compulsive buying tendencies, which lead to increased profits for them. Customers display their ambivalence in purchasing a product either through instantaneous consumption, such as when following the latest fashion trends, or methodical decision making. The aim of this study is to investigate the influence of consumers' ambivalent attitudes toward various aspects (brand, store, price, trends, and product types) of clothing shopping on compulsive behavior tendencies. Compulsive buying tendencies were analyzed in terms of the shopping value group and demographic characteristics. For the empirical research, a questionnaire was used. Data from male and female clothing shoppers were analyzed. Consumers were segmented into ambivalent consumption group, emotional value consumption group, rationality consumption group, and indifference consumption group. Results indicate that ambivalent consumption groups showed significantly higher levels of compulsive behavior tendencies in terms of brand, store, price, trends, and product types than other groups. Females showed more compulsive buying tendencies than males. Single people showed more compulsive buying tendencies than married.

• Korean Journal of Human Ecology
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• v.20 no.2
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• pp.377-389
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• 2011

The object of this study was to analyze the meaning of luxurious consumption, the subjects and the objects of luxurious consumption, the desires that propel luxurious consumption, and the luxurious consumption patterns of the past and the present. The materials and information used for this research were acquired by reviewing literatures from a library. The time frame used to separate the past and the present was the Second World War. The analyzed materials and contents for the research were the subjects and the objects of luxurious consumption, the desires that propel luxurious consumption, and the patterns of luxurious consumption. Comparing the trends of luxurious consumption of the past and present historically, the biggest differentiation between the past and present was the spread of subjects and objects of luxurious consumption. In the past, luxury consumption belonged to the wealthy only, but the accessibility of luxury consumption has increased to the point where anybody can buy what they want at will. Another difference was found in the desires that prompt luxury consumption and the consumption patterns of the past and present. Based on these results, several suggestions about luxury consumption were presented in this paper.

• Electronics and Telecommunications Trends
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• v.39 no.4
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• pp.32-41
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• 2024

Building energy management plays a crucial role in improving energy efficiency and optimizing energy usage. To achieve this, it is important to monitor and analyze energy-related data from buildings in real time using sensors to understand energy consumption patterns and establish optimal operational strategies. Because of the uncertainties in building energy-related data, there are challenges in analyzing these data and formulating operational strategies based on them. Artificial intelligence (AI) technology can help overcome these challenges. This paper investigates past and current research trends in AI technology and examines its future prospects for building energy management. By performing prediction and analysis based on energy consumption or supply data, the future energy demands of buildings can be forecasted and energy consumption can be optimized. Additionally, data related to the surrounding environment, occupancy, and other building energy-related factors can be collected and analyzed using sensors to establish operational strategies aimed at further reducing energy consumption and increasing efficiency. These technologies will contribute to cost savings and help minimize environmental impacts for building owners and operators, ultimately facilitating sustainable building operations.

• Journal of Korean Society for Quality Management
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• v.50 no.3
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• pp.617-634
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• 2022

Purpose: This paper introduces Pohang University of Science Technology (POSTECH) advanced metering infrastructure (AMI) and Open Innovation Big Data Center (OIBC) platform and analysis results of electricity consumption data collected via the AMI in POSTECH campus. Methods: We installed 248 sensors in seven buildings at POSTECH for the AMI and collected electricity consumption data from the buildings. To identify the amounts and trends of electricity consumption of the seven buildings, electricity consumption data collected from March to June 2019 were analyzed. In addition, this study compared the differences between the amounts and trends of electricity consumption of the seven buildings before and after the COVID-19 outbreak by using electricity consumption data collected from March to June 2019 and 2020. Results: Users can monitor, visualize, and download electricity consumption data collected via the AMI on the OIBC platform. The analysis results show that the seven buildings consume different amounts of electricity and have different consumption trends. In addition, the amounts of most buildings were significantly reduced after the COVID-19 outbreak. Conclusion: POSTECH AMI and OIBC platform can be a good reference for other universities that prepare their own microgrid. The analysis results provides a proof that POSTECH needs to establish customized strategies on reducing electricity for each building. Such results would be useful for energy-efficient operation and preparation of unusual energy consumptions due to unexpected situations like the COVID-19 pandemic.

• Journal of the Korean Society of Food Culture
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• v.27 no.5
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• pp.422-433
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• 2012

The purpose of this study was to investigate changes in Korean meat consumption as well as meat consumption trends. During the Japanese occupation period, the supply of meat was considerably insufficient. However, meat consumption mainly in large cities has gradually increased. Especially, 'Pyeongyang cow', a specialty of Pyeongyang, started being raised as edible beef cattle in 1933. During the chaotic period following liberation from Japan, the price of meat sharply increased. However, as the meat supply stabilized, the 'beef grade system' was introduced in 1967. Since then, beef has sold according to region. During the early economic growth period of the mid-1970s, meat consumption rapidly increased, and foreign beef was first imported in 1976. The preference for beef was somewhat attenuated due to the outbreak of mad cow disease and economic slowdown of the 1990s, resulting in an increase in the consumption of pork, a replacement meat. During the recent period of economic development, meat consumption has somewhat fallen and remained low. In late 2003, with the occurrence of mad cow disease in the US, the demand for pork, and especially pork fatback, has sharply increased.

• The Korean Journal of Food And Nutrition
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• v.33 no.5
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• pp.447-458
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• 2020

This study assessed yearly trends of food and nutrient intake among high school students aged 16 to 18 years (n=2,377) using the 2007~2015 Korea National Health and Nutrition Examination Survey (KNHANES). Yearly trends of food or nutrient intake were analyzed via logistic regression analysis. The results showed that consumption of sugars & sweets, and beverages & alcohols was increased rapidly during this period (p<0.0001). Intake of meat & meat products, and fish & shellfish also was increased (p=0.0008). Intake of grains and grain products was increased until year 2011 but declined after 2012 (p=0.0025). Consumption of vegetables, and milk & milk products was decreased (p=0.0395). Intake of protein, fat, thiamin, riboflavin, niacin, and iron was increased (p=0.0445). Carbohydrate energy ratio was decreased, whereas fat energy ratio was increased (p=0.0235). Most nutrient intakes satisfied the dietary reference intakes for Koreans except dietary fiber (19.6~26.2%), calcium (46.9~55.2%) and sodium (more than 221.4%) during this period. There was a significant positive correlation between most food group intakes and most nutrient intakes (p=0.0468). Therefore, it is crucial to increase dietary fiber and calcium intake and decrease consumption of sugars, fats and sodium through diverse eating of food groups to ensure balanced nutrition of subjects.