• Journal of Energy Engineering
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• v.18 no.2
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• pp.114-124
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• 2009

The Ministry of Knowledge and Economy (MKE) establishes the Basic Plan for Long-Term Electricity Supply and Demand(BPE) biannually, a governmental plan for the stable electricity supply. This study investigated the effects of the electric demand forecast on the energy mix. A simplified simulation model was developed, which replaces the WASP program developed by the KPX and verified by comparing both results. Three different electric demand scenarios were devised based upon the 2005 electric demand forecast: Proper, 5 % higher, and 5% lower. The simplified model calculates the energy mix for each scenario of the year 2005. Then it calculates the energy mix for the proper electric demand forecast of the year 2007 using the energy mixes of the three scenarios as the initial conditions, so that it reveals the effect of electric demand forecast of the previous BPE on the energy mix of the next BPE. As the proper electric demand forecasts of the year 2005 and 2007 are the same, there is no change in the previous and the next BPEs. However when the electric demand forecasts were 5% higher in the previous BPE and proper in the next BPE, some of the planned power plant construction in the previous BPE had to be canceled. Similarly, when the electric demand forecasts were 5% lower in the previous BPE and proper in the next BPE, power plant construction should be urgently increased to meet the increased electric demand. As expected the LNG power plants were affected as their construction periods are shorter than coal fired or nuclear power plants. This study concludes that the electric demand forecast is very important and that it has the risk of long term energy mix.

• Review of Culture and Economy
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• v.21 no.3
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• pp.59-88
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• 2018

This study examines demand of the Korean TV VOD using monthly aggregate data and time series analysis models. In particular, the impact of box office attendance, number of IPTV subscribers, income and price of substitutes on TV VOD market is analyzed. Data on TV VOD download during the period 2013 January to 2018 June are used for the empirical analysis. TV VOD demand shows lower level of seasonality than box office attendance and the share of monthly top1 movie in TV VOD platform is also lower than that of box office attendance. The relationship between a movie's holdback and box office performance does not seem consistent. The empirical result of ARDL model reveals that in the short-run box office attendance, number of IPTV subscribers and price of substitutes have significant impact on TV VOD demand. The result on the long-term relation shows that income is the only determinant of TV VOD demand. The impact of box office attendance on TV VOD is not shown to be robust both for the short-term and long-term.

• Journal of Korean Society of Transportation
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• v.32 no.1
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• pp.13-26
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• 2014

Depending most of its energy sources on foreign countries, Korea efforts to reduce energy consumption in transportation. While studies on the relationship between gas price and transportation demand are many in number, most previous studies have focused on automobile and Seoul. This study analyzes the impact of gas price on transit (bus and subway) demand using monthly data and for various metropolitan areas (Seoul, Busan, Daejeon, Daegu and Gwangju). The research utilizes a time-series model and a multiple regression model, and calculates modal demand elasticities of gas price. The result shows that elasticities of subway demand with respect to gas price is higher than those of bus demand. In addition, elasticities of predominantly automobile cities are more likely to be more sensitive to gas price than those of cities with well-structured transit system.

• The Korean Journal of Applied Statistics
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• v.32 no.5
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• pp.703-720
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• 2019

The influence of temperature on electricity demand is increasing due to extreme weather and climate change, and the climate impacts involves nonlinearity, asymmetry and complexity. Considering changes in government energy policy and the development of the fourth industrial revolution, it is important to assess the climate effect more accurately for stable management of electricity supply and demand. This study aims to analyze the effect of temperature change on electricity demand using the partial linear model. The main results obtained using the time-unit high frequency data for meteorological variables and electricity consumption are as follows. Estimation results show that the relationship between temperature change and electricity demand involves complexity, nonlinearity and asymmetry, which reflects the nonlinear effect of extreme weather. The prediction accuracy of in-sample and out-of-sample electricity forecasting using the partial linear model evidences better predictive accuracy than the conventional model based on the heating and cooling degree days. Diebold-Mariano test confirms significance of the predictive accuracy of the partial linear model.

• Journal of Digital Convergence
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• v.11 no.11
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• pp.767-774
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• 2013

The electricity demand and supply could be off balance if several electric vehicles(EVs) were charged at the same time or at peak load times. Therefore, smart grids are necessary to flatten the EVs' electricity demand and to enable EVs to be used as distributed storage devices as electricity demand from EV-charging increases. There are still few quantitative studies on the impact of smart grids on managing EVs' electrical loads. In this study, we analyzed the quantitative impact of smart grids on managing EVs' electrical loads and suggested policy implications. As a result, it is identified that smart grids can manage effectively EVs' impact on electrical grids. The electricity market structure and regulatory framework should support the demonstration and commercialization of smart grid technologies.

• Proceedings of the KIEE Conference
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• 2011.07a
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• pp.1728-1729
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• 2011

본 연구에서는 안정적인 물 공급과 에너지의 효율적 사용을 위한 단기 물 수요예측알고리즘 개발에 있어서, 지방 소도시 지역의 물 공급패턴에 대한 영향인자를 도출하기 위하여 기상환경인자와 과거 물 공급량에 대한 상관성 분석을 실시하였다. 그리고, 신경회로망 이론 중 ELM알고리즘을 적용한 단기 물 수요예측알고리즘을 개발하여 현장 적용성을 검토하고자 한다.

• Digital Contents
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• no.12 s.103
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• pp.61-61
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• 2001

무선 랜을 통한 모바일 컴퓨팅 수요는 과연 급증할 것인가 이런 의문에 대다수 사람은 긍정적인 답변을 보이고 있다. 최근 가트너 그룹에 의하면 802.11b를 표준 규약으로 하는 무선랜이 향후 급성장, 모바일 컴퓨팅 수요를 이끌어 내는 원동력이 될 것이라고 보고 됐다. 즉 기업의 업무 수행 환경에 절대적인 영향을 끼칠 것이라는 평가와 함께 인식 확대 이외에도 시장에 새로운 활력소로 다가서고 있는 것이다. 기존 PC시장과 데스크톱 PC시장, 특히 전문가급 PC시장은 거의 포화 상태에 달했기 때문에 공급업체들은 새로운 수요에 대한 판매를 늘리기 위해 모바일 컴퓨팅으로 눈을 돌려야 한다는 점도 이러한 분위기 활성화에 한 몫을 하고 있다.

• The tire
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• s.99
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• pp.48-48
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• 1982

미국의 자동차용 튜브 수요동향을 보면 ,트럭ㆍ버스용 및 승용차용 튜브는 감소현상을 나타내고 있으나 농경용 및 산업용 튜브의 수요는 점차 증가되고 있는 현상이다. 이와같은 경향은 Tubeless 타이어의 영향이 큰 것으로 해석된다. 최근 미국의 튜브수입 각국 점유율은 한국산 튜브의 점유율이 급증하고 있다고 한다. 앞으로는 농경용 및 산업용 튜브 수요가 더욱 증가될 것으로 예상되므로 농경용ㆍ산업용 튜브 수출에 한층 더 노력함으로써 좋은 결과를 얻을 수 있을 것으로 기대된다.

• Proceedings of the Korea Contents Association Conference
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• 2016.05a
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• pp.327-328
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• 2016

전력 증폭기 모듈 패키지 산업은 전방산업의 경기에 매우 큰 영향을 받고 종속성이 높은 산업이므로 수요처인 중계기, 기지국, 무선네트워크 구축 장비 업체의 수급 동향, 기술변화, 경영환경변화, 판매실적 등에 민감하게 반응하는 수요구조로 되어 있다. SWOT 분석결과 전력 증폭기 모듈설계 노하우와 하이브리드 전력 증폭기를 개발할 수 있는 강점과 군수용으로 응용 분야 확대 및 5G 상용화의 기회를 활용하여 사업 기회를 선점하는 사업전략 수립이 필요하다. 산업구조 분석결과 구매자의 교섭력이 높으므로 전방산업에 배치된 수요기업과의 전략적이고 긴밀한 협력관계를 유지하기 위한 전략을 추진해야 한다.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2022.06a
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• pp.1218-1221
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• 2022

최근 전세계의 탄소중립 요구에 따른 에너지 효율 증대를 통한 에너지 절감을 위한 효율성 관련 연구가 확대되고 있다. 방송과 미디어 분야에는 에너지 효율이 더욱 시급하다. 이에 본 연구에서는 효율적인 에너지 시스템 구축을 위해 난방 에너지 시계열 데이터를 기반으로 한 수요 예측 모델을 선정하고, 설명하는 인공지능 모델을 도입하여 수요 예측에 영향을 미치는 원인을 파악하는 프레임워크를 제안한다.