• Title, Summary, Keyword: 교육수요예측

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

  • Oh, Jang-Man;Lee, Bong-Hee;Bang, Hang-Gwon
    • Proceedings of the KIEE Conference
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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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Monthly Electric Load Forecasting Method Using Multiple Regression Model (다중회귀모형을 이용한 월간 전력수요 예측기법)

  • Moon, Jihoon;Kim, Yongsung;Park, Jinwoong;Hwang, Eenjun
    • Proceedings of the Korea Information Processing Society Conference
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    • pp.567-570
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    • 2016
  • 전력수요 예측은 설비투자, 수급 안정, 구매전력비 등에 직결되는 중요한 요소이며 국가 경제에 미치는 영향이 크다. 특히 인구가 밀집한 대도시의 경우 정치, 교육, 문화, 경제적 활동들이 전력사용과 밀접한 연관이 있어 안정적인 전력공급을 위한 정확한 전력수요 예측이 필요하다. 최근 평균기온 및 국내총생산을 독립변수로 활용하여 다중회귀모형을 구성한 연구가 전국 단위 전력수요 예측에 유용한 결과를 보여주었다. 하지만 좀 더 작은 단위 지역의 전력수요를 예측할 때에는 지역마다 제반 여건에 따른 전력사용 용도가 다르므로, 그 지역의 전력수요와 상관관계가 높은 다른 변수들을 함께 고려해야 할 필요가 있다. 본 논문은 서울시 자치구별 월 단위 전력수요 예측을 위하여 과거 전력수요량을 독립변수, 평균기온, 지역내총생산, 자치구별 인구, 세대수, 지하철 승 하차 인원을 종속변수로 설정한 다중회귀모형을 구성하였다. 이를 기반으로 다양한 실험을 통해 자치구별 월간 전력수요 예측을 진행하였으며, 그 결과 이전보다 향상된 정확도를 얻을 수 있었다.

A Demand Survey on Major Fitness of Curriculum of Fire Risk Prediction and Assessment (화재위험성 예측평가분야 교육과정의 전공 적합도에 대한 수요조사)

  • Lee, Se-Myeoung
    • Fire Science and Engineering
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    • v.30 no.6
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    • pp.130-136
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    • 2016
  • A university needs to analyze and improve its curricula with the perspective of the consumer to develop a syllabus for the training of industry-demand customized human resources. Accordingly, this paper surveyed the demand of fire-related industry workers to evaluate the major fitness of the curriculum of fire risk prediction and assessment and carried out descriptive statistical analysis, factor analysis, cluster analysis, and one-way ANOVA based on the results. According to the analysis, fire-related industry workers reported that the curriculum of fire risk prediction and assessment is suitable for majors. In addition, they were greatly aware of the necessity of basic major and common major subjects among subjects of fire risk prediction and assessment. The results of this analysis will provide the basic data to improve the curriculum continuously in the future.

An Analysis of Demand and Seating Capacity for Maritime Safety Training in Accordance with the Seafarers Act Revision (선원법 개정에 따른 선원안전교육 수요분석 및 수용능력에 관한 연구)

  • Bae, Seok-Han;Lee, Jin-Woo
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.22 no.6
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    • pp.671-678
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    • 2016
  • This study estimates the demands for safety training courses with reference to research on safety training records, seafarer statistics, target groups for safety training, expiry dates of existing safety courses, seafarer employment rates, the retirement age, etc. These results are compared with the seating capacity of the maritime training institute to analyze the anticipated increase in and convergence of demand can be accommodated. The average annual safety training needs for the next five years according to the Seafarers Act include approximately 10,444 people, and the proper annual seating capacity of the maritime training institute is approximately 7,280 people at present. Thus, in order to respond to an increasing demand for safety training, it is necessary to expand the capacity of the safety training facility.

입력수급전망(入力需給展望)과 고등교육(高等敎育) 개혁과제(改革課題)

  • Lee, Ju-Ho
    • KDI Journal of Economic Policy
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    • v.16 no.4
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    • pp.3-25
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    • 1994
  • 본(本) 연구(硏究)에서는 인력계획(人力計劃)을 위한 인력필요량(人力必要量) 예측(豫測)에 초점(焦點)을 맞추기보다는 인력공급전망(人力供給展望), 인력수요분석(人力需要分析), 수급간(需給間) 상호관계(相互關係)등에 주목함으로써 고등교육제도(高等敎育制度)의 개혁과제(改革課題)를 도출(導出)하고자 하였다. 인력공급(人力供給) 측면에서는 2000년대 고졸자의 격감(激減)을 전망(展望)하고 이에 근거(根據)하여 대학교육(大學敎育)에 대한 초과수요(超過需要)를 전제로 하였던 규제위주(規制爲主)의 교육제도(敎育制度)의 근본적인 변화(變化)가 요구됨을 보인다. 인력수요(人力需要) 측면에서는 우리 경제(經濟)가 지식집약경제(知識集約經濟)로 이행(移行)함에 따라 고등교육(高等敎育)의 양적(量的) 팽창(膨脹)보다는 질적(質的) 향상(向上)이 보다 요구되고 있음을 논의한다. 또한 수급간(需給間) 상호관계(相互關係)에도 주목하여 직업기술(職業技術) 고등교육기관(高等敎育機關)과 기업(企業)을 연계(連繫)하는 네트워크가 구축(構築)되어야 함을 강조(强調)한다. 이러한 인력수급분석(人力需給分析)을 바탕으로 대학(大學)의 경쟁여건(競爭與件) 조성(造成)과 직업기술 고등교육의 산(産) 학(學)네트워크 구축(構築)을 위한 교육개혁(敎育改革)의 기본과제(基本課題)를 제시(提示)한다.

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건설기술인력 수급계획에 관한 연구

  • 이유섭;이교선;이태식
    • 월간 기계설비
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    • pp.56-69
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    • 1993
  • 건설산업이 점차 노동집약적 산업에서 기술집약적 산업으로 전환됨에 따라 요구되는 건설기술인력의 수요가 증가할 것으로 예상된다. 이에 따라 건설기술인력의 효율적인 수급을 위해 기술 인력의 공급량과 수요량을 예측하여 예견되는 불균형 또는 균형적인 소요량을 제시함으써 사회의 투자의사결정에 수반되는 불확실성의 감소, 경제계획수립의 기초자료, 정부의 정책이나 프로그램의 효과에 대한 평가, 인력 확보를 위한 교육$\cdot$훈련체계 수립, 그리고 기업의 합리적 의사결정을 위한 자료로 활용할 수 있는 기준을 제공할것으로 기대된다. 따라서 본 연구에서는 건설기술인력이 수요동향 분석을 위하여 설문조사와 건설업통계조사보고서를 이용하여 건설업에 종사하는 건설업 취업자 추이, 고용구조, 건설기술의 현황을 분석하여 건설업의 종사자 및 기술인력에 대한 추이를 규명하였다. 이러한 분석을 토대로 경제요인을 고려한 건설기술인력의 수요예측모형을 제시하고 이 모형을 사용하여 2000년까지의 분야별 건설기술인력의 수요를 예측하였다.

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Study on Design for Training Contents about Disaster Management - Design for Training Courses and Subjects Focus on Disaster Field Preparedness and Response - (방재부문 교육 컨텐츠 설계에 관한 연구 - 현장대비 및 대응 중심의 교육과정, 과목 설계 -)

  • Lee, Yong Jae;Nam, Sang Hoon;Lee, Young Jai
    • Journal of Korean Society of Disaster and Security
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    • v.5 no.2
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    • pp.11-20
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    • 2012
  • Recently, inflicted damage for people's life and property from occurred major disaster that landslide by localized downpour and hydrofluoric acid leak from the Gumi. However public needs about safe society is more increasing from disaster because response is unsatisfactory on that. The purpose of this paper is that establish the core foundation for the education contents system of disaster management through cultivating expert. Therefore first, designed the training of course and subject by demand forecast. Next, designed the training course focus on preparedness and response at on-scene.

Demand Prospect of Professional Workers in Execution of the Elderly's Long-Term Care Insurance -Nurse, Social Welfare, Care Probation Professional workers- (노인 장기요양 보험제도 실시에 따른 전문직종사자의 수요 예측 -간호사, 사회복지사, 요양보호사를 중심으로-)

  • Park, Myung-Sun;Kang, Sang-Mok
    • Communications for Statistical Applications and Methods
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    • v.17 no.3
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    • pp.423-440
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    • 2010
  • The purpose of this paper is to prepare the department creation and the staff increase of education institution by forecasting the demand of health and welfare workers according to execution of the elderly's long-terms treatment insurance system in July, 2008. We estimated confirmors of the elderly's long-terms treatment and the demand of professional workers of health and welfare field due to the increase of care insurance users in facilities treatment organization, care at home service facilities, and family allowance facilities for 2010-2030. The numbers of social welfare professional worker are estimated as 16,624 workers in 2020 and 24,688 workers in 2030. The numbers of nurses are forecasted as 11.287 in 2020 and 16,624 in 2030, we expect that the increase of the demand be accelerated. The demand of necessary care probation worker is 44,824 in 2009, but we already trained over around 500,000 workers in 1,078 education institutions through one year in Aug. 31, 2009, which excesses over the numbers of workers demanded as much as 10 times.

New demand forecast for vocational high school graduates in regional strategic industries: Focusing on comparison between Daejeon and Jeonnam (지역전략산업에 따른 특성화고 졸업자 신규수요 예측: 대전과 전남 지역 비교를 중심으로)

  • Kim, Jin-Mo;Choi, Su-Jung;Jeon, Yeong-Uk;Oh, Jin-Ju;Ryu, Ji-Eun;Kim, Seon-Geun
    • Journal of vocational education research
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    • v.36 no.1
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    • pp.47-75
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    • 2017
  • The purpose of this study was to provide basic data for policy making for secondary vocational education in each region and transformation in vocational high schools. To achieve this, the regional strategic industries in Daejeon and Jeonnam were selected, new demand for vocational high school graduates was forecasted in each industry and occupation. The results of the study are as follows. First, locational quotient analysis and regional shift-share analysis revealed that Daejon and Jeonnam have different strategic industries. Daejon, unlike Jeonnam strategically develops 'manufacturing food, beverage and tobacco', 'manufacturing timber and paper, printing and copying', 'public service and administration of national defense and social security' and 'manufacturing electrical devices, electronics and precision devices'. Jeonnam has specialized industries distinguished from Daejon's, which are 'manufacturing of machinery transportation equipments and etc', 'manufacturing of non-metallic minerals and metal products', 'electric, gas, steam and water supply systems/industries', 'manufacturing coal and chemical products, refining petroleum', 'mining' and 'agriculture, forestry and fishery'. Second, new demand for vocational high school graduates by occupations and industries showed regional differences(in Daejon and Jeonnam). According the forecast, Daejon will have many workforce demands based on manufacturing industries, on the other hand Jeonnam's focused on service industries. Analysis by occupations was also different, Daejon showed high demands on professional and related workers, while Jeonnam requested many new office and service workers. Third, new workforce demand by occupations in regional strategic industries is big part of overall new workforce demand both in Daejon and Jeonnam. Forth, according to the results of analyzing the new demand for vocational high school graduates in Daejeon and Jeonnam in terms of industry location quotient and change effect, there was high demand in industries with positive total change effects. In terms of location quotient, Daejeon and Jeonnam showed different results.

Short-Term Water Demand Forecasting Algorithm Using AR Model and MLP (AR모델과 MLP를 이용한 단기 물 수요 예측 알고리즘 개발)

  • Choi, Gee-Seon;Yu, Chool;Jin, Ryuk-Min;Yu, Seong-Keun;Chun, Myung-Geun
    • Journal of the Korean Institute of Intelligent Systems
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    • v.19 no.5
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    • pp.713-719
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    • 2009
  • In this paper, we develope a water demand forecasting algorithm using AR(Auto-regressive) and MLP(Multi-layer perceptron). To show effectiveness of the proposed method, we analyzed characteristics of time-series data collected in "A" purification plant at Jeon-Buk province during 2007-2008, and then performed the proposed method with various input factors selected through various analyses. As noted in experimental results, the performance of three types model such as multi-regressive, AR(Auto-regressive), and AR+MLP(Auto-regressive + Multi-layer perceptron) show 5.1%, 3.8%, and 3.6% with respect to MAPE(Mean Absolute Percentage Error), respectively. Thus, it is noted that the proposed method can be used to predict short-term water demand for the efficient operation of a water purification plant.