• Title/Summary/Keyword: Real time pricing

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Research on AMI Development Method based on Virtualization Technology (가상화 기술 기반의 AMI 개발 방안 연구)

  • Choi, Min-Hee;Kim, Dong-Wook;Jung, Nam-Jun
    • Proceedings of the KIEE Conference
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    • 2011.07a
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    • pp.507-508
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    • 2011
  • 본 논문에서는 AMI(Advanced Metering Infrastructure) 개발에 가상화 기술을 적용하는 방안을 제안한다. AMI는 스마트그리드의 수요측면을 구성하며, 지능형 전력량계(Smart Meter)에서 취득된 데이터를 다양한 연계시스템에서 활용하여, 사용자에게 DR(Demand Response), RTP(Real-Time Pricing)와 같은 부가 서비스를 제공하기 위한 인프라이다. 또한 가상화 기술은 물리적 하드웨어를 가상화하여 논리적 가상 하드웨어로 제공하는 기술로서 AMI를 구성하는 물리적 단위 시스템을 논리적 가상 머신으로 구성이 가능하도록 한다. AMI를 구성하는 다양한 연계시스템의 상호운영성 및 테스트 용이성 확보를 위해 가상화 기술의 적용 방안을 도출하고, 가상화 기술 적용의 기대효과를 분석한다.

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Pricing Strategy for Access Charge of IPTV Network : A Dynamic Analysis (IPTV 망 임대의 가격책정 전략 : 동태적 분석)

  • Kim, Dong-Hee;Cha, Jeong-Hyun;Oh, Jung-Suk;Kim, Soo-Wook
    • Journal of the Korean Operations Research and Management Science Society
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    • v.35 no.3
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    • pp.45-58
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    • 2010
  • Due to rapid developments of IT technologies, convergence services like IPTV (Internet protocol television) are shown up. Even though expert and customer had great expectations for this innovative service, commercialization was delayed for years by the legal dispute between industry players. One of the biggest problems was that whether internet backbone providers have to share their internet network backbone with IPTV service providers (which don't have network backbone) or not. As other countries, Korean government set the rules that ISP have to offer indiscriminate access to other IPTV service provider. At the same time, internet backbone providers can charge access charge based on cost by way of compensation. Thus access charge is very critical to the IPTV industry players. The objective of this paper is to provide model that can calculate the reasonable access charge by system dynamics, based upon real data in Korean telecommunication industry.

The Developement of Real-time Information Support Cart System based on IoT

  • Seo, Dong-Sung;Kang, Min-Soo;Jung, Yong Gyu
    • International journal of advanced smart convergence
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    • v.6 no.1
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    • pp.44-49
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    • 2017
  • In the modern technology era, it is possible to connect objects and the internet anytime and anywhere through IoT of hyper-connected society. Accordingly, a smart shopping cart was designed and realized by applying IoT. Therefore, this paper builds the IoT shopping cart system according to the trend of IoT environment.. When RFID is installed in the Arduino and the tagged item is inserted into the IoT shopping cart, the product information and price are displayed on the Arduino linked Raspberry Pi. We built a web server on the Raspberry Pi to handle this data, and built an App on the smartphone to implement the IoT shopping cart environment. Consumers can receive pricing and product information through smartphone apps through raspberry pie, can make quick calculations through smartphone, and provide various information to consumers through apps.

Forecasting volatility via conditional autoregressive value at risk model based on support vector quantile regression

  • Shim, Joo-Yong;Hwang, Chang-Ha
    • Journal of the Korean Data and Information Science Society
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    • v.22 no.3
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    • pp.589-596
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    • 2011
  • The conditional autoregressive value at risk (CAViaR) model is useful for risk management, which does not require the assumption that the conditional distribution does not vary over time but the volatility does. But it does not provide volatility forecasts, which are needed for several important applications such as option pricing and portfolio management. For a variety of probability distributions, it is known that there is a constant relationship between the standard deviation and the distance between symmetric quantiles in the tails of the distribution. This inspires us to use a support vector quantile regression (SVQR) for volatility forecasts with the distance between CAViaR forecasts of symmetric quantiles. Simulated example and real example are provided to indicate the usefulness of proposed forecasting method for volatility.

A Diagnosis Method of Communication Networks for AMI Smart Meters (AMI 시스템 구축용 스마트 미터의 통신 상태 진단방법)

  • Jung, Joonhong;Choi, Gilyong
    • Proceedings of the KIEE Conference
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    • 2015.07a
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    • pp.55-56
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    • 2015
  • A smart meter is a kind of electronic meters that measures and records consumption of electric energy in intervals of an hour or less and transmits that information to the remote places. AMI provides two-way communication path between utilities and consumers and should be able to support smart grid's new functionalities such as demand-response actions and real time pricing. The main objective of this paper is to provide a new diagnosis method and system for testing of smart meters in AMI neighborhood area network.

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Present Situation and Prospects for the Solid State Meter Considering Electricity Tariff Policy (전자식전력량계의 도입현황과 요금구조의 장기방향을 고려한 발전전망)

  • Kwon, O-Hyung;Kim, Jae-Sung;Jo, Jin-Sub
    • Proceedings of the KIEE Conference
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    • 1998.07b
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    • pp.760-762
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    • 1998
  • Due to the reinforcement of government's DSM(Demand Side Management) policy. Solid State Meter was introduced in Korea since 1993 and it is applied to the high voltage customer exceeding 100kW in order to equalize daily load curve. In recent days, KEPCO has a Plan to use the Solid State Meter which has a data recording and remote meter-reading function for low voltage customer to introduce the real-time pricing system and reduce peak power in the near future. So, this paper suggests the specification and function of Solid State Meter.

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Real Time Pricing based User Selection Demand Response Home Energy Management System (실시간 가격 고지 기반의 사용자 선택 수요반응 연동 홈 전력관리 시스템)

  • Kim, Hyo Seong;Hwang, Kwang Il;Choi, Seok Jun;Shim, Byoung Sup
    • Proceedings of the Korea Information Processing Society Conference
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    • 2013.11a
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    • pp.241-244
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    • 2013
  • 본 논문에서는 가정의 전력 사용에 따라 실시간으로 전력요금을 알림으로써 사용자의 선택에 따라 자발적인 전력관리를 수행하는 수요반응 연동 홈 전력관리 시스템을 제안한다. 제안시스템은 수요반응 연동을 통한 사용자의 전력소비 패턴을 이용해 자발적인 전력관리를 하여 저 전력으로 유지되며 응답시간을 줄였다. 또한 에너지 소모와 사용자의 전력 관리 요청의 반응 속도에 대한 실험을 통해 우수성을 입증하였다.

An Incomplete Information Structure and An Intertemporal General Equilibrium Model of Asset Pricing With Taxes (일반균형하(一般均衡下)의 자본자산(資本資産)의 가격결정(價格決定))

  • Rhee, Il-King
    • The Korean Journal of Financial Management
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    • v.8 no.2
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    • pp.165-208
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    • 1991
  • This paper develops an intertemporal general equilibrium model of asset pricing with taxes under the noisy and the incomplete information structure and examines theoretically the stochastic behavior of general equilibrium asset prices in a one-good, production, and exchange economy in continuous time markets. The important features of the model are its integration of real and financial markets and the analysis of the effects of differential tax rates between ordinary income and capital gains. The model developed here can provide answers to a wide variety of questions about stochastic structure of asset prices and the effect of tax on them.

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Trading Strategies in Bulk Shipping: the Application of Artificial Neural Networks

  • Yun, Hee-Sung;Lim, Sang-Seop;Lee, Ki-Hwan
    • Journal of Navigation and Port Research
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    • v.40 no.5
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    • pp.337-343
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    • 2016
  • The core decisions of bulk shipping businesses can be summarized as the timing and the choice of period for which carrying capacity is traded. In particular, frequent decisions to trade freight either with repeated spot transactions or with a one-off long-term deal critically impact business performance. Even though a variety of freight trading strategies can be employed to facilitate the decisions, chartering practitioners have not been active in utilizing these strategies, and academic research has rarely proposed applicable solutions. The specific properties of freight as a tradable commodity are not properly reflected in existing studies, and limitations have been reported in their application to the real world. This research focused on the establishment of applicable freight trading strategies by taking into account two properties of freight: time perishability and term-dependant pricing. In addition to traditional trading strategies, artificial neural networks were applied for the first time to the test of freight trading strategies. The performances of the trading strategies were measured and compared to produce a remarkable outperformance of the ANN. This research is expected to make a significant contribution to chartering practices by enhancing the quality of chartering decisions and eventually enabling the effective management of freight rate risk. In addition to methodological expansion, the result will propose a way to approach the controversial issue of freight market efficiency.

Secure QoS Billing System Using Audit Trail Subsystem Design & Implementation (감사 추적 시스템 설계 및 구현을 통한 안전한 QoS 빌링 시스템)

  • Park, U-Chul;Kim, Jeong-Nyeo;Lee, Byeong-Ho
    • The KIPS Transactions:PartC
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    • v.8C no.5
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    • pp.597-606
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    • 2001
  • In this paper, we propose the delay sensitive traffic and a high bandwidth QoS service in order to supply real-time traffic such as VoIP, multimedia service. We use IntServ over DiffServ network to supply end-to-end QoS service in the IETF. We define the proposed QoS services which are Best, Good, Default service. We analyze the performance using NS simulator with end to end QoS service in IntServ over DiffServ network. The proposed billing system uses the Accounting, Authentication, Authorization (AAA) functions of RADIUS protocol and proposes the dynamic pricing method according to network usage state using end-to-end QoS of IntServ over DiffServ network. In order to secure billing system, we design and implement audit trail system by the IEEE POSIX.1E standard.

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