• Proceedings of the KIEE Conference
• /
• 2004.11b
• /
• pp.101-103
• /
• 2004

Transmission congestion is one of the Key factors to local market power in competitive electricity markets. Withholding is a one of the methods exercise the market power. This paper presents an alternative methodology in market power under transmission congestion and withholding. The proposed methodology was demonstrated with the Optimal Power Flow(OPF). Case study is fulfilled by GAMS simulation.

• Journal of the Korean Geographical Society
• /
• v.48 no.2
• /
• pp.272-287
• /
• 2013

This paper describes the importance of selecting explanatory variables(e.g. land price determinants) in hedonic pricing models employed in predicting real estate price, and explores dynamics of the land price determinants over time. The City of Junju was chosen as the study area, and repeated measured price data of standard lots over 17 years were analyzed. We applied a three-level modeling approach to this data in consideration of its nested data structure and longitudinal characteristics. Main land price determinants we focused on are primarily based on items included in the standard comparison table of land price, which is an official hedonic pricing model used by Government to estimate land price for tax levy. Our result shows that the land price fluctuation over 17 years was not uniform over the whole study area with each neighborhood revealing different price trend, and as such warrants longitudinal model components. In addition, some of determinants previously recognized as important were proved insignificant. It was also found that significant determinants at a particular time point lost its power gradually over time and vice versa. It is expected that more accurate prediction of price would be possible when taken account for this dynamics of price determinants over time in applying hedonic pricing model method.

• Journal of the Economic Geographical Society of Korea
• /
• v.26 no.2
• /
• pp.96-109
• /
• 2023

Recently, there has been a lot of discussion about the regional pricing of electricity and electricity self-sufficiency. In Korea, power generation facilities are highly ubiquitous and there is an imbalance between electricity production and consumption regions. So it is proposed to charge different price by region, instead of the current nationwide uniform price, and the regional electricity self-sufficiency rate is proposed as a criterion for identifying electricity production and consumption regions. However, many discussions set the spatial unit for measuring electricity self-sufficiency by 17 Si·Do, which needs to be analyzed for its appropriateness. In this study, we analyzed the electricity self-sufficiency rate using 17 provinces and 229 Si·Gun·Gu as the spatial unit. As a result of the analysis, there are 7 and 10 electricity producing and consuming regions at Si·Do level, but 38 and 191 at Si·Gun·Gu level. In addition, although the electricity self-sufficiency rate measurement has the advantage of identifying electricity production and consumption areas in a simple and intuitive way, we points out that it has some problems with the criteria for regional pricing of electricity.

• Proceedings of the KIEE Conference
• /
• 2005.07a
• /
• pp.739-741
• /
• 2005

The congestion cost caused by transmission capacities is an important issue in a competitive electricity market. To allocate the congestion cost equitably, the active constraints in a constrained dispatch and the sequence of these constraints should be considered. A multi-stage method which was proposed by H.S. Jung reflects the effects of both the active constraints and the sequence. In a multi-stage method, the types of congestion are analyzed in order to consider the sequence, and the relationship between congestion and the active constraints is derived in a mathematical way. But in some cases, the inactive constraints can affect the congestion sequence and it is reasonable to allocate the congestion cost to them.

• Journal of KIISE:Software and Applications
• /
• v.30 no.7_8
• /
• pp.672-680
• /
• 2003

A shopbot is a software agent whose goal is to maximize buyer´s satisfaction through automatically gathering the price and quality information of goods as well as the services from on-line sellers. In the response to shopbots´ activities, sellers on the Internet need the agents called pricebots that can help them maximize their own profits. In this paper we adopts Q-learning, one of the model-free reinforcement learning methods as a price-setting algorithm of pricebots. A Q-learned agent increases profitability and eliminates the cyclic price wars when compared with the agents using the myoptimal (myopically optimal) pricing strategy Q-teaming needs to select a sequence of state-action fairs for the convergence of Q-teaming. When the uniform random method in selecting state-action pairs is used, the number of accesses to the Q-tables to obtain the optimal Q-values is quite large. Therefore, it is not appropriate for universal on-line learning in a real world environment. This phenomenon occurs because the uniform random selection reflects the uncertainty of exploitation for the optimal policy. In this paper, we propose a Mixed Nonstationary Policy (MNP), which consists of both the auxiliary Markov process and the original Markov process. MNP tries to keep balance of exploration and exploitation in reinforcement learning. Our experiment results show that the Q-learning agent using MNP converges to the optimal Q-values about 2.6 time faster than the uniform random selection on the average.

• The Transactions of The Korean Institute of Electrical Engineers
• /
• v.57 no.4
• /
• pp.576-581
• /
• 2008

Electricity Market in Korea can't provide locational price signal through energy price because energy market is CBP(Cost Based Pool) using uniform price. Generators don't want to locate in a densely populated load area(like the metropolitan area). Because they are paid more fixed cost in metropolitan area. This situation has loss and congestion occurred in power system. However energy market without price signal can't lead generator to the metropolitan. So, market participants should be provided price signal through the transmission price instead of energy price. This paper proposes transmission pricing method considering reliability cost in order to offer price signal. Also, it proposes the method to allocate the transmission cost to each transmission line user through a fair and a reasonable manner. The transmission price is decided by the reliability value of each line. If a transmission line of high reliability value is broke, users using that line will get a loss and a discomfort. So, it is fair that users using a transmission line of high reliability value pay more than the other users. Also, it is reasonable that a transmission line owner get paid more form users using that line.

• The Journal of Information Systems
• /
• v.13 no.1
• /
• pp.77-95
• /
• 2004

According to the increase of organizational complexity and the change of rapid information technology environment, many firms have shifted their information technology(IT) strategy from developing information systems in-house to purchasing application software such as Enterprise Resource Planning(ERP) Systems. Marketing and Sales functions within a Korean automotive part company include developing new assembly products, determining pricing, taking customer's orders, and shipping assembly products to customers. Marketing and Sales Information System(MSIS) in ERP system plays an important role in next Production Planning process. MSIS also makes management reporting and decision making faster and more uniform throughout an organization. MSIS promotes thinking about corporate goals, as opposed to thinking only about the goals of a single department or functional area. This paper intends to design and implement a MSIS in ERP systems for Korean automotive part company using object-oriented methodology In order to accomplish the implementation of MSIS in ERP system, we employed UML as its standard modeling language. In this study, four diagramming techniques such as use case diagram, sequence diagram, class diagram, component diagram among eight modeling techniques are used for analyzing hierarchical business process. In traditional marketing and sales function, a company with an unintegrated information system can have marketing and sales data that is data redundant or inaccurate. MSIS integrated in ERP system can solve the sales forecast problem, which minimizes the total costs of production, inventory, and transportation under constraints of production capacity. Also, the use of UML methodology makes S/W programmers shorten the phase of analysis and design in the implementation of MSIS system, and increase the reuse of software and the interoperability with corporate internal Information system.

• Journal of the Korean association of regional geographers
• /
• v.11 no.6
• /
• pp.620-639
• /
• 2005

In terms of loan transactions, mortgage volume secured by housing in Korea is the most important market share. Hitherto housing finance policies are treated as a kind of property pricing policy. So it is time to import financial systems on behalf of the mortgage loan consumers like a mortgage broker. A mortgage broker is an intermediary that brings a borrower and a creditor together to obtain a mortgage loan. The broker takes the application, performs a financial and credit evaluation, produces documents, and closes the loan. Especially mortgage brokers present themselves as specifically acting in the interest of the consumer by shopping on behalf of the consumer for the best product that meets the consumer's needs and financial circumstances. The paper investigates the economic role of mortgage broker, foreign systems focused on USA, UK, Japan, and characteristics of Korean housing finance markets. Finally the paper provides policy recommendations about Korean mortgage broker system composed of licensing type, uniform professional practice standard, educational requirements.

• Journal of Forest and Environmental Science
• /
• v.29 no.1
• /
• pp.71-80
• /
• 2013

Present study analyzes the rooftop gardening status, floristic composition and cost and return of the rooftop garden in Sylhet City Corporation of northeastern Bangladesh. Data was collected from 450 rooftop gardeners randomly during July-September 2010. Study reveal that rooftop gardening is generally for mental satisfaction (95.3%) followed by leisure time activity (87.8%) in the study area and almost all the family members of gardeners' were involved; while collection of planting materials, sites preparation and marketing of products were reported to be carried out by males only (male 71.33%). Middle income classes were most interested in rooftop gardening (43.78%). The survey recorded 53 plant species (35 families) of which Cucurbitaceae family represented highest eight species. Shrubs (28%) were highest followed by herbs (26%) among agri-crops (36%) and flower species (30%). About 89% of the rooftop gardeners procured planting materials from nursery, market, fair, neighbor, relative and friends and they mostly prefer to use seedlings (48%) for roof gardening followed by direct seed sowing (21%). Gardeners sell products sporadically in different local markets, directly or through intermediaries, with no uniform pricing for system. Rooftop gardening improves the food security and meet nutritional deficiency to the gardeners. Survey revealed that generally very few people consider rooftop gardening commercially to get profit and from the cost-return analysis this gardening system can be economically viable if proper and scientifically managed. The study conclude that active government and NGOs could play vital role to increasing this activities by providing training and motivate people with technical aspects of rooftop gardening.