• Proceedings of the KIEE Conference
• /
• 2002.07a
• /
• pp.435-437
• /
• 2002

This Paper presents the technical perspective on the Real Time Pricing(RTP). So far customer has no control on the electricity pricing. But the price hike in California makes changes in the electricity demand and pricing. In such environments. RTP has become an important role in Demand Side Management. Here the system configuration, advantages of RTP are described. Also the relationship between RTP and AMR is considered.

• Journal of Advanced Marine Engineering and Technology
• /
• v.33 no.5
• /
• pp.705-712
• /
• 2009

The state changes of ocean covered over 70% of earth surface are one of the greatest factor of weather catastrophe. Recently weather extraordinary events are followed by steep increase of sea water temperature and scientists in various fields are studying and warning the weather changes. In this paper, floating buoy is developed to monitor ocean environments via Orbcomm satellite and a method is proposed to increase measurement accuracy of sea water temperature with common low price temperature sensor. Experimental results are presented to illustrate the usability and effectiveness of the developed system. A web-based real time monitoring system is built to monitor ocean environmental information such as sea and air temperature, salinity according to the position of buoy through the internet for user convenience.

• Journal of the Korean Data and Information Science Society
• /
• v.27 no.3
• /
• pp.639-651
• /
• 2016

"Law on price announcement for real estate" which was revised as of Jan. 19, 2016 (will be enforced as of Sep. 1, 2016) decided the introduction of 'Price announcement system for non-residential property' for the first time. However, its introduction seems to be delayed based on two reasons. Firstly the methodology for introduction of non-property system is not definitized, despite many problems were brought up for current tax base of non-residential property. In addition, changes in tax base will place a burden on the government. In this regard, this study analyzed actual transaction price data throughout one year to analyze equity of taxation for non-residential property and to find major factor which affects on the tax base, in relation with the change of current public announcement system to actual transaction based system. And this is the first study that applied actual transaction price to non-residential property.

• Journal of Korean Institute of Industrial Engineers
• /
• v.41 no.5
• /
• pp.414-424
• /
• 2015

In this research, we consider a smart grid network of electricity with multiple consumers connected to a monopolistic provider. Each consumer can be informed the real time price changes through the smart meter and updates his consumption schedule to minimize the energy consumption expenditures by which the required power demand should be satisfied under the given real time pricing scheme. This real-time decision making problem has been recently studied through game-theoretic approach. The present paper contributes to the existing literature by incorporating storage appliance into the set of available household appliances which has somewhat distinctive functions compared to other types of appliances and would be regarded to play a significant role in energy consumption scheduling for the future smart grid. We propose a game-theoretic algorithm which could draw the optimal energy consumption scheduling for each household appliances including storage. Results on simulation data showed that the storage contributed to increase the efficiency of energy consumption pattern in the viewpoint of not only individual consumer but also whole system.

• Journal of the Korean Society of Manufacturing Process Engineers
• /
• v.17 no.5
• /
• pp.45-51
• /
• 2018

Roll forming refers to the production of long plate-molded products, such as panels, pipes, tubes, channels, and frames, by continuously causing the bending deformation to thin plates using rotating rolls. As the roll forming method has advantages in terms of mass production because of its excellent productivity, the size of the roll forming industry has been continuously increasing and the roll forming method is increasingly being used in diverse industrial fields as a very important processing method. Furthermore, as the roll forming method mainly depends on the continuous bending deformation of the plate materials, the time and the cost of the heterogeneous materials developed in the process are relatively large when considered from the viewpoint of plastic working because many processes are continuously implemented. The existing studies on roll forming manufacturing have reported the loss of large amounts of time and materials when the raw materials or product types were changed; further, they have stated that the use of this method can hardly guarantee the uniformity of the formed shapes and the consistency in terms of size and cannot detect all the defects occurring during the mass production and related to the dimensions. Therefore, in this research, a real-time process data-based smart roll forming method that can be applied to multiple products was studied. As a result, a roll forming system was implemented that remembers and automatically sets the changes in the finely adjusted values of the supplied quantities of individual heterogeneous materials so that the equipment setting changing time for heterogeneous material replacements or changes in the products being produced can be shortened. It also secures the uniformity of the products so that more competitive and precise slide-rail products can be mass-produced with improvements in the quality, price, and productivity of the products.

• The Transactions of The Korean Institute of Electrical Engineers
• /
• v.59 no.2
• /
• pp.291-297
• /
• 2010

A system called demand response programs (DRP) is being introduced among various countries owing to the lack of new generation capacity and the higher fuel generation cost. It is a program which provides for the end-users to select their consumption of electricity by recognizing the value of their consumption in real time. That is, Demand Response can be defined as the changes in electric usage by end-use customers from their normal consumption patterns in response to changes in the price of electricity or other signals. It is expected that the effects of DRP are preventing price spike, improving supply reliability and social welfare and increasing option of customers. Considering the customer's thermal comfort zone, this paper determines the most profitable combination of optimal incentives and amounts of load reduction for a retailer to maximize profits according to predicted outdoor temperatures while implementing DRP.

• The Transactions of the Korean Institute of Electrical Engineers A
• /
• v.54 no.3
• /
• pp.144-151
• /
• 2005

This paper presents a forecasting technique of the short-term marginal price (SMP) using an Artificial Neural Network (ANN). The SW forecasting is a very important element in an electricity market for the optimal biddings of market participants as well as for market stabilization of regulatory bodies. Input data are organized in two different approaches, time-axis and day-axis approaches, and the resulting patterns are used to train the ANN. Performances of the two approaches are compared and the better estimate is selected by a composition rule to forecast the SMP. By combining the two approaches, the proposed composition technique reflects the characteristics of hourly, daily and seasonal variations, as well as the condition of sudden changes in the spot market, and thus improves the accuracy of forecasting. The proposed method is applied to the historical real-world data from the Korea Power Exchange (KPX) to verify the effectiveness of the technique.

• Proceedings of the Korean Society of Agricultural Engineers Conference
• /
• 2004.10a
• /
• pp.16-26
• /
• 2004

Historically, the name and scopes of Agricultural Engineering have changed considerably affected by many factors including global trend of Agricultural Engineering. There were times when this education program became unpopular but then again regained in the aftermath of economic crises. The afterward national policy has given big opportunity to resources based developments. Even though agriculture has shown its capability in maintaining local community to support their lives during the time of crises, the global markets have become the real threats. The challenge of Indonesian Agricultural Engineers now is how to produce agricultural commodities in any kind of forms but cheaper than the international price. Agricultural Engineering Education has to find a proper role of contribution to solve these problems. And, the education system of Agricultural Engineering itself has to be upgraded to some extend to anticipate changes of the global trends.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.19 no.2
• /
• pp.387-396
• /
• 2018

This study examined the instability factor of real income and net profits of Chung-yang Green Pepper Farm through an analysis of the operating costs. Furthermore, this paper suggests a plan for stabilizing the price by shipment adjustments resulting from an analysis of the price elasticity by A Linear Approximated Inverse Almost Ideal Demand System (LA/IAIDS). The income instability factor of the farm based on an analysis of the operating costs was attributed to the unexpected loading of utility expenses and collapse of the price due to oversupply at a specific point in time. On the other hand, this is insufficient to completely explain the income instability factor of Chung-yang Green Pepper Farm because a price collapse does not include the monthly price changes. An analysis of the price and scale flexibility of Chung-yang Green Pepper Farm by monthly data showed that annual farm net yield increases by 1.21% due to a 2.21% increase in price if the shipment quantity is reduced to 1% a year. In summary, a plan that supports the farm price received through declining shipments in winter is effective in stabilizing the income of farms. Because Chung-yang Green Pepper in Gyeongnam region has an especially high market share of 82.5%, the prices and income of Gyeongnam Chung-yang Green Pepper farms can be stabilized effectively if they form an association of producers around the Gyeongnam region and adjust the shipment.

• The Journal of Korean Institute of Electromagnetic Engineering and Science
• /
• v.25 no.11
• /
• pp.1135-1141
• /
• 2014

Performing wideband DDC while quantizing signal over a wide dynamic range and high speed sampling rate have primarily been implemented in a hardware such as, FPGA or ASIC because of time-consuming job. Real-time wideband DDC SW, even though signal environment changes, adapt to signal environment flexibly and can be reused. In addition, it has a lower price than the hardware implementation. In this paper, we study the system design that can be stored in real time designing a high-speed parallel processing architecture for SW-based wideband DDC. Finally, applying a Ping-Pong Buffering mechanism for receiving a signal in real time and CUDA for a high-speed signal processing, we verify wideband DDC design procedure that meets the signal processing.