• 제목/요약/키워드: Demand forecasting

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리비아 전력수요 예측 프로그램 개발 (The Development of demand forecasting for Libya)

  • 오장만;이봉희;방항권
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2008년도 제39회 하계학술대회
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    • pp.546-547
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    • 2008
  • 2003년부터 석유가격의 급격한 상승으로 인한 리비아 정부의 재정투자 증대 및 경제자유화 조치에 따른 내수증가 등으로 2003년 경제성장률이 9.1% 2004년도 7.9%, 2005년 8.45%의 눈부신 경제성장을 이룩하고 있는 리비아 전력수요를 예측하기 위한 프로그램을 개발하여 리비아 국영전력회사(GECOL) 직원들을 대상으로 수요예측에 관한 교육을 시행하고 향후 리비아 경제발전과 전력소비의 연관성에 에 관해 고찰하였다. 급증하는 오일달러를 이용한 사회간접 인프라구축에 집중하는 반면에 인접국가들과의 전력 계통연계도 함께 관찰하여 최적의 모델을 찾아 전력수요 예측에 활용할 수 있다.

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인터넷무역(貿易) 환경(環境)에서 인터넷 물류(物流)시스템의 구현(具現) 전략(戰略) (Strategies of Implementing Internet Logistics System in Internet Trade Environment)

  • 송계의
    • 무역상무연구
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    • 제14권
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    • pp.75-102
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    • 2000
  • At present, on increasing to use a computer network and internet network, Internet Trade has been rapidly created and developed in international Electronic Commerce. However, Internet Trade has not been continued to grow up without supporting by a efficient Logistics System. Because it is very important to delivery contract commodities to consumer with speedy, accurate, steady, convenient services. International Logistics System is consisted of demand forecasting, order processing, packing, labeling, shipping documentation and consumer service into three distant phases of transaction, distribution and payment. International Logistics System can be done more efficiently and effectively by using Internet Logistics System. Therefore it is very important to implementing a efficient Internet Logistics System.

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확산이론 관점에서 로지스틱 모형과 Bass 모형의 비교 (Comparison of the Bass Model and the Logistic Model from the Point of the Diffusion Theory)

  • 홍정식;구훈영
    • 한국경영과학회지
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    • 제37권2호
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    • pp.113-125
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    • 2012
  • The logistic model and the Bass model have diverse names and formulae in diffusion theory. This diversity makes users or readers confused while it also contributes to the flexibility of modeling. The method of handling the integration constant, which is generated in process of deriving the closed form solution of the differential equation for a diffusion model, results in two different 'actual' models. We rename the actual four models and propose the usage of the models with respect to the purpose of model applications. The application purpose would be the explanation of historical diffusion pattern or the forecasting of future demand. Empirical validation with 86 historical diffusion data shows that misuse of the models can draw improper conclusions for the explanation of historical diffusion pattern.

중소기업 정보시스템 활용실태와 수요 전망 (The Analysis on the Forecasting Demand & the Implementation of IT Systems for SMEs)

  • 형준호;김문선;황순환
    • 한국IT서비스학회지
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    • 제3권2호
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    • pp.1-8
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    • 2004
  • Recently, most managers of Small & Medium Enterprises(SMEs) think that all problem of a company is solved if only implementation of ERP or e-business. But it's too risky. Technology of IT is developing so radical, so managers didn't have enough time to consider what system is appropriate in their business process and how implement information system is when they establish Information System. This Study addresses the present Information System that operating and needed for SMEs based on the Value Chain of IS. Thus through the prediction on the consequence of IS implementation, we could cut down unnecessary investment cost and support core competence of a company. Next time, the study on the classification of more detail IS associated in SME's performance is required.

웨이브릿 변환을 이용한 발전시스템 한계원가 예측기법 (Prediction technique for system marginal price using wavelet transform)

  • 김창일;김봉태;김우현;유인근
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 1999년도 추계학술대회 논문집 학회본부 A
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    • pp.210-212
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    • 1999
  • This paper proposes a novel wavelet transform based technique for prediction of System Marginal Price(SMP). In this paper, Daubechies D1(haar), D2, D4 wavelet transforms are adopted to predict SMP and the numerical results reveal that certain wavelet components can effectively be used to identify the SMP characteristics with relation to the system demand in electric power systems. The wavelet coefficients associated with certain frequency and time localisation are adjusted using the conventional multiple regression method and then reconstructed in order to predict the SMP on the next scheduling day through a five-scale synthesis technique. The outcome of the study clearly indicates that the proposed wavelet transform approach can be used as an attractive and effective means for the SMP forecasting.

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공동자동화를 위한 FMS의 경제성 평가에 관한 연구 (An Economic Analysis on FMS for FA)

  • 강영식;함효준
    • 품질경영학회지
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    • 제19권1호
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    • pp.141-150
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    • 1991
  • This paper is aimed to construct a CIM(Computer Intergrated Manufacturing) model through optimal flexible manufacturing systems for factory automation in order to provide higher productivity. This paper provides a ease through an analytical method to construct flexible manufacturing systems for factory automation. The contents of this paper include forecasting of demands which analyze variation of demand using Winter's model, line balancing utilizing Lanked Positional Weight Method, and a case analysis through simulation by Monte Carlor Method. The result shows the manpower and net present value of investment have decreased 42% and 19.6%, respectively, and yearly net profit has increased 30%.

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경제성장에 따른 식품수급 및 영양소 섭취 변화의 예측 모형 (The Forecasting Model of the Change in Food Balance and Nutrient Intake under the Economic Growth)

  • 이종미
    • 한국식생활문화학회지
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    • 제5권4호
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    • pp.481-485
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    • 1990
  • This study is designed to forecast the characteristics in food consumption patterns under per capita GNP growth. Ordinary least square(OLS)method was employed as analyzing technique. Equation was $Y=a_0+a_1X$, in which X was per capita GNP and Y were Engel coefficient, food supply, energy supply, nutrient intake and ratio of self-supply of food. The result obtained indicates that the intake of nutrient such as protein and fat will be increased, and wheat, corn and legume are expected to be imported wholly due to lower ratio of self-supply, and rice will be over-supplied continually. Therefore, the relevant policy of government must be established in the field of supply and demand of food, and the research of sound national health should be done.

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경쟁시장에서 유지보수계획 및 입찰전략 수립에 관한 연구 (Generator Scheduling and Bidding Strategies in Competitive Electricity Market)

  • 고용준;이효상;신동준;김진오
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2001년도 추계학술대회 논문집 전력기술부문
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    • pp.429-431
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    • 2001
  • The vertically integrated power industry was divided into six generation companies and one market operator, where electricity trading was launched at power exchange. In this environment, the profits of each generation companies are guaranteed according to utilization of their own generation equipments. This paper represents on generator maintenance scheduling and efficient bidding strategies for generation equipments through the calculation of the contract and the application of each generator cost function based on the past demand forecasting error and market operating data.

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저압 배전선 반송 방식의 원격검침 실증 연구 (The Study on the Automated Meter Reading using Low Voltage Power)

  • 박상만;하복남;이중호;조남훈;김명수
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 1997년도 하계학술대회 논문집 D
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    • pp.985-987
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    • 1997
  • AMR(Automated Meter Reading) has been considered to solve the lack of meter mem caused by the rise of cost, inefficiency of manual meter reading. Demand forecasting and efficient management of facilities can be accomplished by increasing meter reading efficiency and correcting various data. In this paper, we introduce AMR system using LV PLC in KANG-DONG blanch office of KEPCO.

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데이터 마이닝을 활용한 공급사슬관리 의사결정지원시스템의 구조에 관한 연구 (DSS Architectures to Support Data Mining Activities for Supply Chain Management)

  • 지원철;서민수
    • Asia pacific journal of information systems
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    • 제8권3호
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    • pp.51-73
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    • 1998
  • This paper is to evaluate the application potentials of data mining in the areas of Supply Chain Management (SCM) and to suggest the architectures of Decision Support Systems (DSS) that support data mining activities. We first briefly introduce data mining and review the recent literatures on SCM and then evaluate data mining applications to SCM in three aspects: marketing, operations management and information systems. By analyzing the cases about pricing models in distribution channels, demand forecasting and quality control, it is shown that artificial intelligence techniques such as artificial neural networks, case-based reasoning and expert systems, combined with traditional analysis models, effectively mine the useful knowledge from the large volume of SCM data. Agent-based information system is addressed as an important architecture that enables the pursuit of global optimization of SCM through communication and information sharing among supply chain constituents without loss of their characteristics and independence. We expect that the suggested architectures of intelligent DSS provide the basis in developing information systems for SCM to improve the quality of organizational decisions.

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