• 한국철도학회:학술대회논문집
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• 한국철도학회 2007년도 춘계학술대회 논문집
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• pp.1931-1936
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• 2007

Demand forecasting for railroad traffic is fairly important to establish future policy and plan. The future demand of railroad traffic can be predicted by analyzing the demand of air, marine and bus traffic which influence the demand of railroad traffic. In this study, forecasting the demand of railroad traffic is implemented through neural network using the demand of air, marine and bus traffic. Estimate accuracy of the demand of railroad traffic was shown about 84% through neural net model proposed.

• 한국철도학회:학술대회논문집
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• 한국철도학회 2010년도 춘계학술대회 논문집
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• pp.722-729
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• 2010

Deciding peak-time demand will be most important factor to decide facilities' capacity of complex transfer centers. Concentration of demand is growing more and more in urban railroad that has 3 minutes headway by using MOE of 15 minutes demand. It is far from reality. Moreover there are various demand and reflection of business facilities' demand and commerce facilities' demand is being requested in complex transfer centers. This study focused on it and suggested demand calculation method about facility design of complex transfer centers.

• 대한전기학회논문지:전력기술부문A
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• 제54권11호
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• pp.557-560
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• 2005

This paper proposes the demand-side management(DSM) monitoring system of high efficient end-use equipments considering demand-side bidding (DSB). The effect on the market penetration of high efficient equipments by demand side bidding is analysed. Seasonal peak demand forecasting and penetration capacity of these equipments . are analysed.

• 한국정보통신학회논문지
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• 제20권9호
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• pp.1799-1807
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• 2016

본 논문에서는 기존의 가입자가 직접 전력량을 조절하는 수동수요반응과는 달리 정해진 시간에 자동적으로 전력량 소모를 줄이는 자동수요반응 시스템을 제안하였다. 제안된 시스템은 SEP 2.0을 기반으로 동작하며 수요반응 관리 프로그램과 수요반응 서버, 수요반응 클라이언트로 구성된다. 수요반응 관리 프로그램은 가입자에게 전력사용현황을 알려주고 관리자에게는 수요반응 이벤트를 생성 및 취소할 수 있게 한다. 수요반응 서버는 수요반응 관리 프로그램에서 수신한 수요반응 이벤트를 SEP 2.0을 통해 수요반응 클라이언트로 전송하고 수요반응 클라이언트가 주기적으로 전송하는 미터링 데이터를 데이터베이스에 저장한다. 그리고 수요반응 클라이언트는 수신한 수요반응 이벤트에서 수요반응 이벤트 시작시간과 지속시간, 감소레벨을 추출한 뒤, 특정 기간 동안 전력소모를 감소시킨다.

• 전기학회논문지
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• 제59권9호
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• pp.1575-1580
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• 2010

Demand Response is a well-known means usually operated by the system operator(SO) or the electricity retailers in order to reduce the peak loads or cut the price in electricity market. KPX(Korea Power eXchange), the SO in Korea has been operating the demand bidding program(or the demand resource market) since it was firstly introduced as the pilot project in 2008. The results has proved to be effective to enhance demand response. This paper describes the basic concepts and the operation results of the program.

• 한국유기농업학회지
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• 제10권1호
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• pp.19-34
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• 2002

This study is to analyze the demand for organic farming products . The demand for organic farming products is increasing rapidly but the study to analyze the demand system by the methods of econometrics is not tried at all because there is no any formal statistical data about the demand. Therefore, this study tries to estimate the raw statistical data to expect the demand trends of organic farming products in the future. To analyze the demand functions of organic farming products such as rice, bean, apple, grape, beef, and park, this study uses AIDS model by using several assumptions and estimates the price and income elasticities of the demands. The results demonstrate that the demands of organic farming products will be increased in the future and the prices of organic farming products will be the key factor in the demand, In 2004, the quantity demanded of the organic grape will account for 3% of total grape market. As a result, consumer's concerns about organic farming products will be high and the demand for organic farming products will be increased. Thus, the reasonable price system has a significant influence on the market of organic farming products.

• 전기학회논문지
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• 제63권8호
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• pp.1116-1120
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• 2014

With the shift of the energy paradigm from supply side management to demand side management, demand resource management and demand response plays an important role in the energy industry. As a consequency, a lot of researches have been done to provide a suitable demand response system. However, most of the demand response systems are based on the propriety products that cannot be modified. In this paper, we are proposing an automated demand response system using an EnerNOC provided open source code. We implemented the demand response server (VTN) and demand response client (VEN), and validated the OpenADR2.0 compliances using the open source code. We also used an Arduino microcontoller to demonstrate the communication schemes to control various devices.

• 경영과학
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• 제29권1호
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• pp.101-114
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• 2012

The demand for naval spare parts is intermittent and erratic. This feature, referred to as non-normal demand, makes forecasting difficult. Hierarchical forecasting using an aggregated time series can be more reliable to predict non-normal demand than direct forecasting. In practice the performance of hierarchical forecasting is not always superior to direct forecasting. The relative performance of the alternative forecasting methods depends on the demand features. This paper analyses the influence of the demand features on the performance of the alternative forecasting methods that use hierarchical and direct forecasting. Among various demand features variability, kurtosis, skewness and equipment groups are shown to significantly influence on the performance of the alternative forecasting methods.

• 한국철도학회논문집
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• 제12권3호
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• pp.420-426
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• 2009

본 연구에서는 철도 투자에 따른 투자이후 수요변화를 계량화하기 위한 조사방법론을 검토하도록 한다. 특히, 유발수요는 전환수요에 비해 조사 및 계량화 방안에 대한 연구가 미흡하므로 유발수요를 중심으로 조사 및 계량화방법들을 검토하여 제시하도록 한다. 이러한 연구 결과는 국내에 철도에 대한 투자이후 단계에서 수요변화를 추정하는 연구가 미흡한 실정이므로 향후 활용도가 높을 것으로 판단된다.

• 수산경영론집
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• 제43권1호
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• pp.35-48
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• 2012

Inverse demand models are well established as market demands in theory and practice of the existing literature. However, the derivation and its interpretation of individual demands from the market demands are not well known in the literature. This paper analyzes the fish market in Korea by the inverse demand model and shows how we deduce the consumer's responses from the market responses when the markets determine the prices by the quantities demanded. It illustrates empirically how this can be done applying to the korean fish market data. The empirical results show that all fishes are price inflexible and mackerels and hairtails are scale flexible in the market demand while mackerels, hairtails, and croakers are price elastic and mackerels and hairtails are income inelastic in the individual demand. The methodology and empirics used in the paper will make a contribution to the existing literature especially for the purpose of recovering consumer's demand from the market demand, thus implementing the policies to administer the fish markets.