• KIEE International Transactions on Power Engineering
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• v.5A no.3
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• pp.286-292
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• 2005

As the power industry moves towards open competition, there has been a call for methodology to evaluate power system reliability by using composite interruption cost. This paper presents algorithms to evaluate the interruption cost of distribution power systems by taking into consideration the failure source and the composite customer interruption cost. From the consumer's standpoint, the composite customer interruption cost is considered as the most valuable index to estimate the reliability of a power distribution system. This paper presents new algorithms that consider the load by customer type and failure probability by distribution facilities while calculating the amount of unserved energy by customer type. Finally, evaluation results of unserved energy and system interruption cost based on composite customer interruption cost are shown in detail.

• KIEE International Transactions on Power Engineering
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• v.5A no.2
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• pp.186-192
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• 2005

As the power industry moves towards open competition, there has been a call for methodology to evaluate power system reliability by using customer interruption costs. This paper presents an evaluation of the interruption costs for public customers in Korea using customer survey methodology. When various research results are examined, the evaluation of direct interruption costs becomes much more simplified. Especially, in the case of public customers, it is known that the evaluation of direct interruption costs is more useful. Accordingly, this paper selected the customer survey method to evaluate the interruption costs for public customers in Korea considering interruption and customer characteristics.

• KIEE International Transactions on Power Engineering
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• v.3A no.3
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• pp.124-129
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• 2003

As the power industry moves towards open competition, there has been a call for methodology to evaluate power system reliability by using composite interruption cost. This paper presents algorithms to evaluate the interruption cost of distribution power systems by taking into consideration the failure source and the composite customer interruption cost. From the consumer's standpoint, the composite customer interruption cost is considered as the most valuable index to estimate the reliability of a power distribution system. This paper presents new algorithms that take into account the load by customer type and failure probability by distribution facilities while calculating the amount of unserved energy by customer type. Finally, evaluation results of unserved energy and system interruption cost based on composite customer interruption cost are shown in detail.

• Journal of Information Processing Systems
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• v.19 no.2
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• pp.258-266
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• 2023

Aiming at the problems of poor customer satisfaction and poor accuracy of customer classification, this paper proposes a customer classification model based on speech recognition. First, this paper analyzes the temporal data characteristics of customer demand data, identifies the influencing factors of customer demand behavior, and determines the process of feature extraction of customer voice signals. Then, the emotional association rules of customer demands are designed, and the classification model of customer demands is constructed through cluster analysis. Next, the Euclidean distance method is used to preprocess customer behavior data. The fuzzy clustering characteristics of customer demands are obtained by the fuzzy clustering method. Finally, on the basis of naive Bayesian algorithm, a customer demand classification model based on speech recognition is completed. Experimental results show that the proposed method improves the accuracy of the customer demand classification to more than 80%, and improves customer satisfaction to more than 90%. It solves the problems of poor customer satisfaction and low customer classification accuracy of the existing classification methods, which have practical application value.

• KIEE International Transactions on Power Engineering
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• v.5A no.1
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• pp.56-61
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• 2005

This paper presents an evaluation of the interruption costs for commercial customers in Korea using customer survey methodology. When various research results are examined, the evaluation of direct interruption costs becomes much more simplified. Especially, in the case of commercial customers, it is known that the evaluation of direct interruption costs is more useful. Accordingly, this paper selected the customer survey method to evaluate the interruption costs for commercial customers in Korea considering interruption and customer characteristics.

• Journal of Electrical Engineering and Technology
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• v.1 no.4
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• pp.448-454
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• 2006

As the power industry moves towards open competition, a need has arisen for appropriate methodology to evaluate power system reliability by using customer Interruption costs. This paper presents an assessment of the interruption costs by industrial customer type in Korea using customer survey methodology. When various research results are examined, the customer damage survey methodology becomes much more generalized. Especially, in the case of industrial customers, it is known that evaluation by the customer damage survey is more useful. Accordingly, this paper selected the customer damage survey method to evaluate the interruption costs by industrial customer type in Korea considering interruption and customer characteristics.

• Journal of the Korean Operations Research and Management Science Society
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• v.40 no.3
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• pp.1-21
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• 2015

Customer firms exercise various sources of power to influence their suppliers' behaviors or decisions. In this study we aim to examine the effects of customers' sources of power on their supplier's performance improvement. This study posits that a customer's expert, referent, and reward power positively influence a supplier's performance directly as well as indirectly through increased supplier-customer integration. On the contrary, the customer's coercive power is expected to worsen the supplier's operational performance because of increasing distrust, dissatisfaction, and conflict with the customer. Data collected from 1,229 firms from Korea, China, Hong Kong, Taiwan, and the U.S. are used to test the hypotheses. Expert power proves to be the most effective source of customer power in improving a supplier's inventory cost, delivery, and flexibility performance. In contrast, coercive power deteriorates significantly all supplier performance variables. Academic and managerial implications are presented and future research directions are also discussed.

• Proceedings of the KIEE Conference
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• 2003.07a
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• pp.142-144
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• 2003

Recently, the bidding between generating company and transmission company have been accomplished according to restructure of power system industry. And the bidding will develop to TWBP (Two-Way Bidding Pool)type. In this way, it will be important issue on optimum reliability maintenance of the power supply. Thus, in this paper illustrate to customer survey result for the interruption cost analysis. Actually the domestic customer survey is performed on 300 samples. Then the points at customer survey and direction are presented in this paper. Customer is divided into 5 types, total response of customer survey was 22 percent. Furthermore domestic customer survey result characteristics will be use for the basis data of the large scale customer survey.

• Journal of Distribution Science
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• v.14 no.9
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• pp.111-120
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• 2016

Purpose - This study aimed to investigate the effects of customer relationship quality and perceived power on complaint behaviors in a context of service failures in a restaurant. Two different types of complaint behaviors were employed: personal complaining that disappointed customers directly approach to a service manager and public complaining that customers ask for related institutions, like consumer protection organization, for help. This study also examined the moderation effects of brand reputation on the relationships between customer perceived power and two types of complaint behaviors. Research design, data, and methodology - The author developed a structural model in which customer relationship quality is proposed to affect customer perceived power, thus influencing personal and public complaint behaviors. The model also includes the moderating role of brand reputation; the effect of customer perceived power on two types of complaint behaviors becomes stronger when brand reputation is high. To analyze the research model, a survey based on a scenario regarding the contexts of service failures in a restaurant was conducted toward 126 female college students. SPSS 22.0 and AMOS 21.0 were utilized to test the hypotheses. Results - The findings are as follows. First, customers who had positive relationships with a restaurant are more likely to perceive that they have strong power to influence the service provider. Second, customer perceived power had a significant and positive effect on both personal and public complaint behaviors. Finally, when the brand reputation for a restaurant is high, dissatisfied customers who think they can exercise influence to the restaurant complain more actively toward the service provider. Conclusions - The findings of this study are against the traditional viewpoint on customer loyalty that loyal customers compared respond more generously to the mistakes of a company, but consistent with the 'love becomes hate' effect proposed by Grégoire, Tripp, and Legoux(2009). In complaining contexts, companies should manage customers with positive and strong relationship more carefully and strategically to prevent the expansion of economic and social risks from customers' complaining behaviors. This is more significant for companies with strong brand reputations.

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.21 no.4
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• pp.45-52
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• 2007

Electric power is an important element in any modern economy. The availability of a reliable power supply at a reasonable cost is important for the economic growth and development of a country. Electric power utilities throughout the world therefore strive to meet customer demands economically with high quality and reliability. As the power industry moves towards open competition, therefore, there has been a call for a methodology by which to evaluate power system reliability through the use of customer interruption characteristics. This paper presents the results of an investigation and analysis of interruption characteristics of an industrial customer in Korea. This study used a direct visit survey to determine the investigation and analysis of electric service quality and the characteristics of industrial customers in Korea. A customer survey conducted throughout Korea via personal interviews of 660 sample customers is presented here. Variation according to characteristics of interruption such as duration, time of day, frequency and day of interruption was also investigated