• 대한전기학회논문지:전력기술부문A
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• 제54권2호
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• pp.88-96
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• 2005

At present, the Korean electricity industry is undergoing restructuring and the Cost Based-generation Pool(CBP) market is being operated preparing for Two Way Bidding Pool(TWBP) market open. As the circumstance of the traditional system is changed according to power system deregulation, the simulation tool which should reflect market code providing market operating mechanism is needed to analyze an electricity market. This paper presents the development of an unique market simulator, Market Modeling and Price Simulator(MMPS) that is designed to imitate the Korean electricity market considering uniform price. The MMPS is developed in VB.NET and is composed of two modules that consist of market modeling and price simulation interfacing access database program. To evidence the features and the performance of MMPS, a small two way bidding market with 12-bus system and one way bidding market for generator competition will be presented for the electricity market simulations using MMPS.

• Journal of Electrical Engineering and Technology
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• 제10권4호
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• pp.1460-1470
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• 2015

This paper presents an approach to solve the long-term generation expansion planning problem of the restructured electricity industry using an agent-based environment. The proposed model simulates the generation investment decisions taken by a particular agent (i.e. a generating company) in a market environment taking into account its competitors’ strategic investment. The investment decision of a particular company is modeled taking into account that such company has imperfect foresight on the future system development hence electricity prices. The delay in the construction of new plants is also explicitly modeled, in order to compute accurately the yearly revenues of each agent. On top of a conventional energy market, several capacity incentive mechanisms including capacity payment and capacity market are simulated, so as to assess their impact on the investment promotion for generation expansion. Results provide insight on the investment cycles as well as dynamic system behavior of long-term generation expansion planning in a competitive electricity industry.

• 한국시스템다이내믹스연구
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• 제7권1호
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• pp.27-49
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• 2006

A system dynamics model is developed to investigate the applicability of the agent based modeling concept in the system dynamics model. The assumed problem is to forecast the size and structure of the organization with the developing market environment. The agent based modeling concept is applied to the organization part, and the other parts of the model such as market, facilities, etc. are developed with the traditional system dynamics technique. The simulation results show the agent based modeling part can be combined with the traditional system dynamics modeling with more precisions. However, the complexity increases and the simulation times are longer than those of the traditional method.

• 대한안전경영과학회:학술대회논문집
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• 대한안전경영과학회 2005년도 춘계학술대회
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• pp.147-151
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• 2005

Many enterprise find process modeling to be an effective approach in competitive global market. In this paper, we investigate the comparision of characteristics for process modeling methodologies. The purpose of this paper is to propose information to company for successful process modeling.

• 보건행정학회지
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• 제16권4호
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• pp.1-23
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• 2006

There is general consensus in the research literature that market orientation is related to organizational performance. The study examines this relationship in the Korean hospital industry. One feature of this study is to examine the differences between large and small hospitals in terms of their market orientation, performance and the relationship between these constructs. The other feature is that both market orientation and performance are conceptualized as being multi-dimensional constructs. Hence a structural equations modeling (SEM) technique is used to examine the dimensionality of market orientation and performance and to examine the nature of this relationship. Data for this study are collected using a questionnaire that is mailed to the top marketing-related managers of 1,048 hospitals. Usable responses are obtained from 230 hospitals for a response rate of 21.9%. The SEM results confirm the multi-dimensional nature of both market orientation and performance, and the strong relationships between the constructs. Interestingly, this relationship is found to be much stronger for smaller hospitals than for larger hospitals. For smaller hospitals, this study shows that market orientation has a tremendous influence on performance, with almost 73.9% of the variance in performance being attributed to market orientation.

• 한국시스템다이내믹스학회:학술대회논문집
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• 한국시스템다이내믹스학회 2006년도 춘계학술대회 발표논문집
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• pp.19-40
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• 2006

A system dynamics model is developed to investigate the applicability of the agent based modeling concept in the system dynamics model. The assumed problem is to forecast the size and structure of the organization with the developing market environment. The agent based modeling concept is applied to the organization part, and the other parts of the model such as market, facilities, etc. are developed with the traditional system dynamics technique. The simulation results show the agent based modeling part can be combined with the traditional system dynamics modeling with more precisions. However, the complexity increases and the simulation times are longer than those of the traditional method.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2007년도 제38회 하계학술대회
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• pp.127-129
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• 2007

Since the competitive market environment was introduced into the electric power industry, the structure of the industry has been changing from vertically integrated system to functionally unbundled and decentralized system composed of multiple (decision-making) market participants. So the market participants such as Gencos or LSE (load serving entity) need to forecast the market clearing price and thus build their offer or bidding strategies. Not just these market players but also a market operator is required to perform market analysis and ensure simulation capability to manage and monitor the competitive electricity market. For fulfilling the demand for market simulation, many global venders like GE, Henwood, Drayton Analytics, CRA, etc. have developed and provided electricity market simulators. Most of these simulators are based on the optimization formulation which has been used mainly for the least cost resource planning in the centralized power system planning and operation. From this standpoint, it seems somehow inevitable to face many challenges on modeling competitive market based on the method of traditional market simulators. In this paper, we propose a kind of new method, which is MAS based market simulation. The agent based model has already been introduced in EMCAS, one of commercial market simulators, but there may be various ways of modeling agent. This paper, in particular, seeks to introduce an model for MAS based market simulator.

• 한국해안·해양공학회논문집
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• 제23권1호
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• pp.57-62
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• 2011

녹색물류 개념의 등장으로 항만산업에서도 새로운 변화를 맞이하고 있는 시점에, 기존의 항만 리모델링 경제성 분석의 연구들은 주로 시장적 가치요인들을 비용-편익분석등과 같은 분석기법을 통해 경제성 및 타당성을 분석하였고, 환경적 가치와 같은 비시장적 가치요인들에 대한 분석들은 거의 전무한 상태이다. 따라서 본 연구에서는 선행연구 되어왔던 해양환경과 친수시설, 이용자들의 후생과 관련된 요소들로 분류된 비시장적 편익요인을 중심으로 추출된 결과를 바탕으로 계층적 의사결정방법(AHP: Analytic Hierarchy Process)을 이용하여 비시장적 측면에서 인천내항의 리모델링 타당성 분석모델 구축을 목적으로 한다.

• 대한토목학회논문집
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• 제43권6호
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• pp.811-819
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• 2023

해외건설사업 시, 현지 상황을 정확하고 빠르게 파악하는 것은 프로젝트 성공을 위해 매우 중요한 요소이다. 이는 토픽모델링을 활용한 뉴스 기사 분석을 통해 실현될 수 있다. 본 연구는 Latent Dirichlet Allocation(LDA)과 BERTopic 두 토픽모델링 기법을 활용하여 뉴스 기사를 분석하고, 최적의 기법을 찾고자 하였다. 모델링 결과로 자동생성된 토픽과 실제 문서 주제와의 일치 여부를 확인하기 위해 BBC 뉴스 기사 6,273건 을 수집하여 ground truth를 생성하고, 이를 모델링된 토픽과 비교하였다. 그 결과 LDA의 F1 score는 0.011, BERTopic은 0.244로 나타났다. 이를 통해 BERTopic이 실제 뉴스 기사의 주제를 잘 파악하며, 해외건설시장의 주요 이슈를 자동으로 이해하는 데 더욱 용이하다는 것을 확인할 수 있었다

• Industrial Engineering and Management Systems
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• 제15권4호
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• pp.324-334
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• 2016

Manufacturers and retailers are interested in how prices, promotions, discounts and other marketing variables can influence the sales and shares of the products that they produce or sell. Therefore, many models have been developed to predict the brand share. Since the customer choice models are usually used to predict the market share, here we use hybrid model of Probabilistic Neural Network and Artificial Bee colony Algorithm (PNN-ABC) that we have introduced to model consumer choice to predict brand share. The evaluation process is carried out using the same data set that we have used for modeling individual consumer choices in a retail coffee market. Then, to show good performance of this model we compare it with Artificial Neural Network with one hidden layer, Artificial Neural Network with two hidden layer, Artificial Neural Network trained with genetic algorithms (ANN-GA), and Probabilistic Neural Network. The evaluated results show that the offered model is outperforms better than other previous models, so it can be use as an effective tool for modeling consumer choice and predicting market share.