• Journal of Electrical Engineering and Technology
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• 제10권1호
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• pp.64-74
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• 2015

Because of the burgeoning demand of the energy, the countries are finding sustainable solutions for these emerging challenges. Demand Side Management is playing a significant role in managing the demand with an aim to support the electrical grid during the peak hours. However, advancement in controls and communication technologies, the aggregators are appearing as a third party entity in implementing demand response program. In this paper, a detailed mathematical framework is discussed in which the aggregator acts as an energy service provider between the utility and the consumers, and facilitate the consumers to actively participate in demand side management by introducing the new concept of demand reduction bidding (DRB) under constrained direct load control. Paper also presented an algorithm for the proposed framework and demonstrated the efficacy of the algorithm by considering few case studies and concluded with simulation results and discussions.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2003년도 하계학술대회 논문집 A
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• pp.68-70
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• 2003

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

• 대한교통학회지
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• 제27권6호
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• pp.167-176
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• 2009

교통수요관리(travel demand management)는 통행수요를 적절히 제어함으로서 교통혼잡을 최소화시키려는 목적으로 시행되는 제반 교통정책이라 할 수 있다. 교통수요를 적절히 관리하기 위해서는 먼저, 정책목표를 설정하고 이를 달성할 수 있는 최적의 정책변수들을 찾아야 하는데, 현재 이에 대한 연구는 미흡한 실정이다. 이런 측면에서 본 연구는 설정된 정책목표를 달성하기 위한 교통수요관리모형과 이를 풀기 위한 알고리듬을 제시한다. 교통수요관리모형은 2가지로 개발되는데, 첫 번째 모형은, 기점과 종점간 평균 통행시간을 대상으로 목표치를 설정한 후 이 목표치를 달성하기 위한 적정 통행수요를 구하는 문제이며, 두 번째 모형은 혼잡이 심한 특정한 지역을 대상으로 해당지역에 포함된 링크의 교통량/용량비가 일정한 목표수준을 유지되도록 하는 최적 통행수요를 구하는 문제이다. 간단한 예제 교통망을 대상으로 본 연구에서 제시한 모형들을 평가한다.

• 대한안전경영과학회지
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• 제18권4호
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• pp.161-169
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• 2016

In this research, we propose efficient demand forecasting scheme for intermittent demand. For this purpose, we first extensively analyze the drawbacks of the existing forecasting methods such as Croston method and Syntetos-Boylan approximation, then using these findings we propose the new demand forecasting method. Our goal is to develop forecasting method robust across many situations, not necessarily optimal for a limited number of specific situations. For this end, we adopt combining forecasting method that utilizes unbiased forecasting methods such as simple exponential smoothing and simple moving average. Various simulation results show that the proposed forecasting method performed better than the existing forecasting methods.

• Journal of Smart Tourism
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• 제2권3호
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• pp.31-38
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• 2022

Understanding demand for travel websites can help hoteliers better evaluate their own multi-channel distribution and reputation management strategies. In this study, we estimated demand for eight major travel websites based on the user percentage in 3,120 U.S. counties. Results highlighted the importance of four types of factors: sociodemographic, economic, Internet use-related, and travel-related. Differences between websites were also compared based on estimated coefficients. For example, the demand for Expedia.com appeared to be driven by age, education background, income, and foreign travel history, whereas the demand for Hotels.com was driven by the proportion of the African American population and domestic travel history. Lastly, implications are provided.

• 제어로봇시스템학회논문지
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• 제22권12호
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• pp.991-994
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• 2016

This paper presents a load management method based on OpenADR of smart grid. Previous demand side algorithm is restricted on reducing peak power. But, in this paper we suggest a method of performing the energy-saving control according to the power price utilizing building automatic control system installed on the customer side in the case of hourly differential pricing signal is transmitted to the open automated demand response system. And, we showed the integrated demand management software for 3 buildings.

• 한국건축시공학회지
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• 제12권2호
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• pp.169-182
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• 2012

In the past, a strategic management of work demands has been increasingly challenged to design-build (DB) firms. Such a management is capable of providing sufficient profitable impact of a project on them. Total project profit is mainly related to actual resources, work completion time, amount of rework, and costs. The degree of recycling work packages in the DB project delivery system is used as a measure of the quality of the performed work. However, there are few models available to evaluate the impact of a demand management strategy on the DB firms and to predict its behavior. We propose a decision-making support model as an aid for assessing the amount of rework and for predicting project profit resulting in a convincible demand management strategy. This model is constructed by using a dynamic feedback approach that can analyze the problems arising in complex managerial systems. For the purpose of illustration, widely acceptable strategies were applied into the model to explore their impacts on the DB firms. The results indicate that the model is helpful for the managers in selecting the most appropriate demand management strategy for successfully achieving their objectives.

• 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.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2000년도 하계학술대회 논문집 A
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• pp.310-312
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• 2000

This paper presents database for electricity demand-side management. Demand-Side Management(DSM) refers to programs that influence the usage of energy for improved economic efficiency and reduced environmental impact DSM can be looked upon as a tool for energy utilities to find resources on the demand side instead of on the supply side, or as a more general tool for society to better use and distribute scarce resources. In this paper, we construct the database for electricity demand-side management and apply it to residential and commercial sector.

• 지식경영연구
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• 제6권2호
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• pp.23-47
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• 2005

This study is performed the multinomial logistic regression with the officials needs level about a component of knowledge administration for drawing a demand estimation model in the knowledge administration activities. This study is not that an activity and domain of knowledge administration is to apply and to operate uniformly it in public sector, one is suggested an application with a demand diagnose of knowledge administration in order to saw a course of the knowledge administration programs to suit a function and role of public administration. A result of this study is that an activity and domain of the knowledge administration is different from a component of it namely, knowledge creating, knowledge organizing, knowledge sharing and distribution, knowledge utility, and knowledge store. And the officials individual characteristics, administration agency, a kind of business, and a function and role of work are different from demand of knowledge administration. Also, the practical use of KMS (knowledge management system) is not so high in public sector. Accordingly, the tools of knowledge administration will deliberate on a consolidation with the existing system in the device.