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Research on Forecasting Electricity Demand of the 13th Five-year in Hebei Province

첫 페이지 보기
  • 발행기관
    보안공학연구지원센터(IJSH) 바로가기
  • 간행물
    International Journal of Smart Home 바로가기
  • 통권
    Vol.9 No.11 (2015.11)바로가기
  • 페이지
    pp.1-10
  • 저자
    Huiru Zhao, Nana Li, Yaowen Fan, Fuqiang Li, Yuou Hu
  • 언어
    영어(ENG)
  • URL
    https://www.earticle.net/Article/A269543

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원문정보

초록

영어
With the emergence of a “new economic norm” and “industrial restructuring”, the electricity demand situation in Hebei province will undergo significant changes in the future. Therefore, it is essential to predict electricity demand in the 13th Five-year for power planning and construction. Considering the factors and mechanisms determining electricity demand of various sectors are different, the total electricity consumption in this paper is divided into five parts: the first industry, industry, construction, the tertiary industry and resident sectors. The electricity demand equations of different sectors are established to make predictions, respectively. The results show that the total electricity consumption will grow at an annual rate of 3.46%-3.87% during 13th Five-Year-Plan period, which would be more than 0.4234×1012 kWh in 2020. The electricity consumption growth of tertiary industry and resident sectors would raise fast, which will grow at an annual rate of 8.72%-9.15% and 6.24%-6.72% during 13th Five-Year-Plan period. Moreover, comparing with the demand structure in 13th Five-Year-Plan period, the proportion for industrial electricity demand will decline by 5%, the proportions for tertiary industry and resident sector will increase by 3% and 2%. The electricity consumption structure in Hebei province would change in the future.

목차

Abstract
 1. Introduction
 2. The Basic Theory of Co-integration Theory
 3. Forecasting Model of Electricity Demand in Each Sector
 4. Forecasting the Electricity Demand of Each Sector in Hebei Province
  4.1. The Development Situation of Each Influencing Factors
  4.2. The Forecasting Results of Electricity Demand in Each Sector.
 5. Conclusion
 Reference

키워드

Electricity demand forecasting subsectors co-integration theory

저자

  • Huiru Zhao [ School of Economics and Management, North China Electric Power University, Beijing China ]
  • Nana Li [ School of Economics and Management, North China Electric Power University, Beijing China ]
  • Yaowen Fan [ School of Economics and Management, North China Electric Power University, Beijing China ]
  • Fuqiang Li [ North China Grid Company Limited, Beijing Xuanwu District No. 482 Canton Avenue, Beijing, China ]
  • Yuou Hu [ North China Grid Company Limited, Beijing Xuanwu District No. 482 Canton Avenue, Beijing, China ]

참고문헌

자료제공 : 네이버학술정보

간행물 정보

발행기관

  • 발행기관명
    보안공학연구지원센터(IJSH) [Science & Engineering Research Support Center, Republic of Korea(IJSH)]
  • 설립연도
    2006
  • 분야
    공학>컴퓨터학
  • 소개
    1. 보안공학에 대한 각종 조사 및 연구 2. 보안공학에 대한 응용기술 연구 및 발표 3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최 4. 보안공학 기술의 상호 협조 및 정보교환 5. 보안공학에 관한 표준화 사업 및 규격의 제정 6. 보안공학에 관한 산학연 협동의 증진 7. 국제적 학술 교류 및 기술 협력 8. 보안공학에 관한 논문지 발간 9. 기타 본 회 목적 달성에 필요한 사업

간행물

  • 간행물명
    International Journal of Smart Home
  • 간기
    격월간
  • pISSN
    1975-4094
  • 수록기간
    2008~2016
  • 십진분류
    KDC 505 DDC 605

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