한국산학기술학회논문지 (Journal of the Korea Academia-Industrial cooperation Society)

  • 제16권12호
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  • Pages.8576-8584
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  • 2015
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  • 1975-4701(pISSN)
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  • 2288-4688(eISSN)
한국산학기술학회 (The Korea Academia-Industrial cooperation Society)
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계절 ARIMA 모형을 이용한 국내 지역별 전력사용량 중장기수요예측

Regional Long-term/Mid-term Load Forecasting using SARIMA in South Korea

  • 안병훈 (고려대학교 산업경영공학과) ;
  • 최회련 (고려대학교 산업경영공학과) ;
  • 이홍철 (고려대학교 산업경영공학과)
  • Ahn, Byung-Hoon (Department of Industrial and Management Engineering, Korea University) ;
  • Choi, Hoe-Ryeon (Department of Industrial and Management Engineering, Korea University) ;
  • Lee, Hong-Chul (Department of Industrial and Management Engineering, Korea University)
  • 투고 : 2015.10.08
  • 심사 : 2015.12.04
  • 발행 : 2015.12.31
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⟨ 이전 논문 다음 논문 ⟩

초록

전력수요의 예측은 안정적인 전력공급을 위한 수급계획수립을 위해서 그리고 전력계통의 최적운영계획수립을 위해서도 필요하다. 특히 안정적인 전력수급확보를 위해서는 중장기 전력수요예측이 중요하고 공급안정성 강화를 위해서는 지역별 전력수요예측이 중요하다. 지역별 전력수요예측은 지역에 소요되는 부하를 충족시킬 수 있도록 송전선로 및 변전소 등의 계통망의 최적상태 구성 및 유지를 위한 필수적인 과정으로 알려져 있다. 따라서 본 논문은 12개월(중장기)동안 대한민국 시도별 16개 지역의 전력사용량을 SARIMA 모형을 이용하여 예측하는 방법을 제안한다.

Load forecasting is needed to make supply and demand plan for a stable supply of electricity. It is also necessary for optimal operational plan of the power system planning. In particular, in order to ensure stable power supply, long-term load forecasting is important. And regional load forecasting is important for tightening supply stability. Regional load forecasting is known to be an essential process for the optimal state composition and maintenance of the electric power system network including transmission lines and substations to meet the load required for the area. Therefore, in this paper we propose a forecasting method using SARIMA during the 12 months (long-term/mid-term) load forecasting by 16 regions of the South Korea.

키워드

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