• The Transactions of The Korean Institute of Electrical Engineers
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• v.58 no.3
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• pp.455-461
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• 2009

This paper proposes Direct Load Control(DLC) operation scheme using a bidding system and the methodology to value proper quantity decided by the DLC program, which is a kind of resources for stabilization of electricity market price during peak times by managing consumer electricity demand. Since DLC program in Korea is based on the contract with the customers participating in this program, it is difficult to anticipate voluntary participation. That is, incentive for participants in DLC program is insufficient. To cope with this point, it is necessary to develop a new market mechanism and market compatible operation scheme for DLC programs. DLC market mechanism is deemed to be equipped with iterative bidding system, independent operation from energy market, and interactive with bidding information on energy market. With this market mechanism, it is important to find the optimal operation point of DLC allowing for the factors of stabilizing the electricity market price and compensating DLC implementation. This paper focuses on the mathematical approaches for the bid-based DLC operation scheme and examines several scenarios for the following technical justifications: 1) stabilization of electricity market price during peak times, 2) elasticity of demand.

• Proceedings of the KIEE Conference
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• 2003.07a
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• pp.649-651
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• 2003

In the framework of competitive electricity market, the Market Power due to the transmission congestion, lack of demand-side response, various uncertain factors etc. have been significant problem. This paper reviews the market rules of Korea power system and the uplift scheme for constrained on/off generators. Then, this paper points out several problems and the mitigation measures of local market power concerning the compensation for constrained-off generators.

• The Transactions of the Korean Institute of Electrical Engineers A
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• v.52 no.10
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• pp.610-615
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• 2003

With the growing competitive pressure from market participants, utilities, consumer and government, analyses of existing competitive electricity market become more important. The presence of congestion in the transmission system can significantly increase the potential of exercising market power. Since the congestion in the network depends on the several factors, the market power cannot be simply analyzed through the existing indices. This paper presents a systematic analysis on local market power under uniform pricing scheme and provides determining approach of the level of price cap as mitigation measure of the strategic market power.

• Journal of the Korea Society for Simulation
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• v.24 no.4
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• pp.97-106
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• 2015

In recent, hybrid market segmentation techniques have been widely adopted, which conduct segmentation using both general variables and transaction based variables. However, the limitation of the techniques is to generate incorrect results for market segmentation even though its methodology and concept are easy to apply. In this paper, we propose a novel scheme to overcome this limitation of the hybrid techniques and to take an advantage of product information obtained by customer's transaction data. In this scheme, we first divide a whole market into several unit segments based on the general variables and then agglomerate the unit segments with higher QAP correlations. Each product network represents for purchasing patterns of its corresponding segment, thus, comparisons of QAP correlation between product networks of each segment can be a good measure to compare similarities between each segment. A case study has been conducted to validate the proposed scheme. The results show that our scheme effectively works for Internet shopping malls.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.58 no.8
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• pp.1496-1503
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• 2009

The United Nations Framework Convention on Climate Change (UNFCCC) is an international environmental treaty to stabilize greenhouse gas concentrations in the atmosphere. In order to fulfil the commitments of the countries in an economically efficient way, the UNFCCC adapted the emission trading scheme in the Kyoto Protocol. If the UNFCCC's scheme is enforced in the country, considerable changes in electric power industry are expected due to the imposed greenhouse gas emission reduction. This paper proposes a game theoretic model of the case when generation companies participate in both competitive electricity market and emission market simultaneously. The model is designed such that generation companies select strategically between power quantity and greenhouse gas reduction to maximize their profits in both markets. Demand function and Environmental Welfare of emission trading market is proposed in this model. From the simulation results using the proposed model the impact of the emission trading on generation companies seems very severe in case that the emission prices are significantly high.

• Management Science and Financial Engineering
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• v.12 no.2
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• pp.71-85
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• 2006

Collaborative filtering, among other recommender systems, has been known as the most successful recommendation technique. However, it requires the user-item rating data, which may not be easily available. As an alternative, some collaborative filtering algorithms have been developed recently by utilizing the market basket data in the form of the binary user-item matrix. Viewing the recommendation scheme as a two-class classification problem, we proposed a new collaborative filtering scheme using a regularized discriminant analysis applied to the binary user-item data. The proposed discriminant model was built in terms of the major principal components and was used for predicting the probability of purchasing a particular item by an active user. The proposed scheme was illustrated with two modified real data sets and its performance was compared with the existing user-based approach in terms of the recommendation precision.

• KDI Journal of Economic Policy
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• v.34 no.2
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• pp.173-204
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• 2012

This study examines the equilibrium investment on the pollution abatement when firms are facing Cournot competition in the output market while the pollution permit market is perfectly competitive. Unlike standard perfect competition scenario, the abatement investment delivers an indirect effect in which it reduces other firms' equilibrium output. Consequently, compared with the socially optimal level, overinvestment arises. I also overview the potential inefficiencies that imperfect market structure induces under the emission trading scheme, presenting policy implications.

• Proceedings of the KIEE Conference
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• 2003.07a
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• pp.624-626
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• 2003

Transmission pricing is one of important issues related to competitive electricity markets since rational pricing scheme ensures a fair competition between this market participants. Transmission pricing scheme is classified briefly into marginal cost pricing and embedded cost pricing. In economic efficiency, marginal cost pricing is more adequate for competitive electricity market. However, this pricing scheme requires revenue reconciliation since it cannot ensure full recovery of Transco's revenue requirements. This paper presents a new revenue reconciliation to maximize social welfare. For this analysis, this paper provides the results applied by various revenue reconciliation methodologies.

• THE INTERNATIONAL COMMERCE & LAW REVIEW
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• v.50
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• pp.277-308
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• 2011

Korea's economy has shown recovery since the global financial crisis in 2008. In the year 2010, Korea's export volume reached US D 467.4 billion and Korea is one of the main producer of IT equipment, electronics, ship-buildings, chemicals and automobiles. In particular, IT industry is one of the largest portion in Korea's export industries. The reason of the performance is that we develop innovative products to overseas markets and continued it. Also, there has been export support or promotion scheme in Korea. In this study, We need to evaluate the current system of export support and derive future challenges. This article has been studied to investigate relationship between export promotion and export performance. So, We classify export promotion program into 7 group(IT package, Market pioneers, Overseas exhibition, consultation invited buyers, International IT market research, Small Business IT export counseling center, Overseas marketing online) and the export performance was considered as the dependent variable. So the result are as follows. Factors on IT package, Market pioneers, overseas exhibition, International IT market research have been identified as influencing. and consultation invited buyers, Small Business IT export counseling center and Overseas marketing online have been identified as unimportant factor. So, We have to develop those Factors(IT package, Market pioneers, overseas exhibition, International IT market research) in the direction of strengthening the development of export support scheme.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.9 no.6
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• pp.609-616
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• 2016

This paper is proposed a customized market analysis method using SVM and collaborative filtering. The proposed customized market analysis scheme is consists of DC(Data Classification) module, ICF(Improved Collaborative Filtering) module, and CMA(Customized Market Analysis) module. DC module classifies the characteristics of on-line and off-line shopping mall and traditional markets into price, quality, and quantity using SVM. ICF module calculates the similarity by adding age weight and job weight, and generates network using the similarity of purchased item each users, and makes a recommendation list of neighbor nodes. And CMA module provides the result of customized market analysis using the data classification result of DC module and the recommendation list of ICF module. As a result of comparing the proposed customized recommendation list with the existing user based recommendation list, the case of recommendation list using the existing collaborative filtering scheme, precision is 0.53, recall is 0.56, and F-measure is 0.57. But the case of proposed customized recommendation list, precision is 0.78, recall is 0.85, and F-measure is 0.81. That is, the proposed customized recommendation list shows more precision.