• 한국인터넷방송통신학회논문지
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• 제23권2호
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• pp.131-138
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• 2023

세계적으로 기후 위기로 인해 친환경 산업이 발전하고 있다. 전기자동차는 내연기관 자동차에 비해 탄소 배출량을 30~70% 이상 절감할 수 있을 것으로 전망되어 주목받고 있는 친환경 산업이다. 전기자동차가 대중화됨에 따라 충전소는 전기자동차 구매를 위한 중요한 요소로 자리 잡았다. 최근 연구에서는 지역의 충전소 수요를 파악하고 경제적인 효과를 최대화할 수 있는 위치를 선정하기 위해 인공지능을 활용하고 있다. 본 연구에서는 전기자동차 충전소 수요 예측 모델의 성능향상에 이바지하고자 인공지능 모델에 활용할 수 있는 전국 단위의 데이터를 정의하고 전처리 기법을 제안하였다. 또한 실제 충전소 수요 예측을 위한 전처리기와 인공지능 모델, 서비스 웹을 구현하고 데이터의 입지선정 요인으로의 가치를 검증하였다.

• 대한교통학회지
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• 제32권6호
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• pp.589-599
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• 2014

본 논문에서는 개통연도 예측 교통량과 개통 후의 실제 교통량의 비교를 통해 교통량 예측 오차를 분석하였다. 분석 결과, 역별 개통연도 교통량(승 하차 인원)의 평균오차(I)는 7.27수준인 것으로 분석되었다. 또한 지역별로 오차가 상이하고 공사기간이 장기간이거나 역간거리가 짧아지면 교통량 과다 추정 오차가 증가하는 것으로 분석되었다. 따라서 도시철도사업이 정해진 계획대로 정해진 기간 안에서 진행될수록 교통예측 오차를 줄일 수 있을 것으로 판단된다. 이외에도 수요예측연도가 최근일수록 오차가 줄어드는 것으로 나타났다. 향후 추진될 도시철도 신규 노선에 대해서는 지금까지의 도시철도 이용객 추정의 오차와 경향을 바탕으로 보다 정확하고 현실적인 이용객 추정이 필요하다. 본 논문의 한계점은 초기연도의 오차에 대해서만 분석하였고 오차발생 변수도 외생변수에 국한하여 분석한 점이다. 향후에는 오차발생에 대해서 다양한 변수를 대상으로 검토되어야 할 것이다.

• Journal of Electrical Engineering and Technology
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• 제12권5호
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• pp.1709-1718
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• 2017

This paper presents a hybrid stochastic deterministic multi-timescale scheduling (SDMS) approach for generation scheduling of a power grid. SDMS considers flexible resource options including conventional generation flexibility in a chance-constrained day-ahead scheduling optimization (DASO). The prime objective of the DASO is the minimization of the daily production cost in power systems with high penetration scenarios of variable generation. Furthermore, energy storage is scheduled in an hourly-ahead deterministic real-time scheduling optimization (RTSO). DASO simulation results are used as the base starting-point values in the hour-ahead online rolling RTSO with a 15-minute time interval. RTSO considers energy storage as another source of grid flexibility, to balance out the deviation between predicted and actual net load demand values. Numerical simulations, on the IEEE RTS test system with high wind penetration levels, indicate the effectiveness of the proposed SDMS framework for managing the grid flexibility to meet the net load demand, in both day-ahead and real-time timescales. Results also highlight the adequacy of the framework to adjust the scheduling, in real-time, to cope with large prediction errors of wind forecasting.

• 대한전기학회:학술대회논문집
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• 대한전기학회 1999년도 하계학술대회 논문집 C
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• pp.1248-1252
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• 1999

To provide electricity power of good quality, it is essential to establish generation of electricity plan in electric power system based on accurate power-demand prediction and cope with changes of power-need fluctuating constantly. The role of hydraulic-power generation of electricity in electric power system is of importance because responding to electric power-demand counts or reservoir-type hydraulic-power generation of electricity which is designed for additional load in electric power system. So hydraulic-power generation of electricity must have fast start reserve. But the amount of water, resources of reservoir-type hydraulic-power generation of electricity is restricted and multi-used, so the scheduling of management by exact forecasting the amount of water is critical. That is why efficient hydraulic-power generation of electricity makes a main role on pumping up the utility of energy and water resource. This thesis introduced the example of optimal generation of electricity plan establishment which is used in managing reservoir-type hydraulic-power generation of electricity.

• 산업경영시스템학회지
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• 제32권1호
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• pp.117-129
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• 2009

The bullwhip effect is known as the significant factor which causes unnecessary inventory, lost sales or cost increase in supply chains. Therefore, the causes of the bullwhip effect must be examined and removed. In this paper, we develop two analytical tools for the bullwhip effect control in supply chains. First, we develop the quantitative models for computing the bullwhip effect in a three-stage supply chain consisted of a single retailer, a single distributor and a single manufacturer when the fixed-interval replenishment policy is applied at each stage. The quantitative models are developed under the different conditions for the demand forecasting and share of customer demand information. They are validated through the computational experiments. Second, we develop a simulation-based decision support system for the bullwhip effect control in a more diverse dynamic supply chain environment. The system includes a what-if analysis function to examine the effects of varying input parameters such as operating policies and costs on the bullwhip effect.

• Communications for Statistical Applications and Methods
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• 제16권1호
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• pp.127-135
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• 2009

한국의 경제규모가 꾸준히 커감에 따라 가정, 건물, 공장 등에서 필요로 하는 전력량이 지속적으로 증가하고 있다. 전력공급의 안정화를 위해서는 최대전력량보다 전력공급능력이 높아야 한다. 월별 최대전력량을 잘 설명할 수 있는 통계모형을 찾기 위해 Winters 모형, 분해 시계열모형, ARMA 모형, 설명 변수를 통해 추세성분과 계절성분을 교정한 모형을 살펴보았다. 모형의 예측력 비교 기준으로 모형적합으로부터 구한 RMSE와 MAPE가 사용되었다. 여름철 최대전력량을 예측하기 위해 평균기온과 열대야 일수를 설명 변수로 갖는 시계열 모형이 가장 우수하였다. 아울러 외부요인을 갖는 극단분포 모형을 이용한 분석을 시도하였다.

• 자원환경지질
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• 제23권4호
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• pp.383-392
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• 1990

이 연구(硏究)에서는 경험적인 사용강도(便用强度) 방법(方法)과 파생수요(派生需要)의 경제적이론을 초월대수(超越代數) 수요(需要) 모델을 사용(使用)하여 결합하였다. 첫번째 단계로서 한 인구당 GDP와 사용강도(使用强度)의 실험적인 패턴인 비대칭(非對稱) 생명곡선(生命曲線)을 고려하였으며, 두번째 단계로서는 이러한 비대칭(非對稱) 생명곡선(生命曲線)이 수학적으로 단순한 초월대수(超越代數) 사용강도(使用强度) 모델로 바꿀수 있다는 것을 보여 주었으며, 마지막 단계로서 전통적인 수요이론(需要理論)이 가격(價格), 대체효과(代替效果), 기술(技術)의 변화(變化)를 포함한다는 것에 근거하여 초월(超越) 대수(代數) 수요(需要) 모델을 연장한 결과 전통적인 수요(需要)모델이나 사용강도(使用强度) 모델보다 더 정확하게 광물자원(鑛物資源) 수요(需要)를 예측(豫測)하였으며 사용강도(使用强度) 방법(方法)으로서도 자원(資源)의 수요(需要)를 예측(豫測)할 수 있음을 보여주었다.

• 패션비즈니스
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• 제3권4호
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• pp.7-18
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• 1999

This study concerns the demand for Korean textile products in the USA, Japan, EU from 2000 to 2003. The result from the practice of study is as follows; The grand total export demand of textile product is estimated about U$7.2billion in 2000, U$8.5billion in 2003, and the annual growing rate is estimated 5.17%. The export of textile product to USA, Japan, EU, and other countries will be gradually increased from 2000 to 2003. Comparing to annual average export growing ratio, it is expected the ranks of annual average growing ratio as follows; The highest ratio is 8.35% in EU, the next 7.08% in other countries, 2.67% in Japan, and 2.51% in USA. It shows the change of the new countries to which our nation exports textile-products from the exportmarket structure of the present major export countries such as USA, Japan to EU and other nations. Also shows the same result in the export ratio by countries. The research predicts that the textile export portion will be decreased for our nation to USA and Japan while increased to EU and other countries.

• International Journal of Railway
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• 제5권4호
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• pp.139-143
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• 2012

In Korea, almost 700 industrial parks are under operation. Generally, industrial parks consist of national industrial parks and local industrial parks which are managed by a central government and by local governments respectively. The developing countries such as Korea, China and Vietnam etc. have constructed many industrial parks, which result in the change of land use pattern and also affect future trip demands. Therefore, in estimating traffic demands, it is very important to consider the industrial park development. This study aims to improve the methodology in estimating a freight trip generation rate with the data based on a nationwide commodity freight survey. The result showed that it is desirable to apply freight trip generation rate by the industry sector in estimating freight trip generations and using the production area of firm as an indicator. Specially, the reliability of the rates through a survey could be made sure because a sample rate based on firms in industrial parks was over 25% and the response rate was over 67%. The sample rate and response rate are very superior as compared to surveys conducted in many other countries. Because industrial parks have significant effects on forecasting transportation demand in pre-feasibility studies of transport and logistics projects, it is expected that the accuracy of freight trip demands would be improved through the results of this study.

• 복식문화연구
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• 제27권1호
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• pp.64-71
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• 2019

Climate change and global warming are the biggest challenges of the current generation. Every industry has contributed to the climate change and global warming. Even the apparel industry cannot avoid the criticism regarding fast fashion and its contribution to the pollution. The transition to the decarbonized economy is in progress. All aspects of business functions are influenced by climate change. Sustainable development and climate change are closely linked, and business plays the key role in addressing and finding solutions to the challenges of climate change. Luxury brands are the trendsetters and tastemakers. They are the leaders in the fashion industry and therefore responsible for improving on sustainability as well. Even luxury business cannot avoid environmental issues. The relation between luxury and sustainability is explored with the Burberry case based on the Triple Bottom Line (TBL) framework. There are various ways for luxury brands to excel in sustainability and affect other companies' practices. The companies can incorporate the concept of sustainability in their brand stories as part of the branding process. They can also improve demand planning accuracy and produce upcycled goods. Centering on Burberry's case, this paper aims to explore the current sustainable practices of luxury business along with its future direction toward sustainable development. Its contribution and directions for both researchers and business practitioners are discussed.