• DocumentCode
    690751
  • Title

    Macro Demand Spatial Approach (MDSA) combined with principal component analysis and qualitative analysis on spatial demand forecasting for main development area in transmission planning

  • Author

    Sasmono, Sudarmono ; Atmopawiro, Mukmin W. ; Sinisuka, N.I. ; Darwanto, Djoko

  • Author_Institution
    Sch. of Electr. Eng. & Inf., Bandung Inst. of Technol., Bandung, Indonesia
  • fYear
    2013
  • fDate
    8-11 Dec. 2013
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    Macro Demand Spatial Approach (MDSA) is an approach introduced in long time electricity demand forecasting considering location. It will be used at transmission planning and policy decision on electricity infrastructure development in a region. In the model, MDSA combined with principal component analysis (PCA) and qualitative analysis (QA) to determine main development area in region and the variables that affecting electricity demand in there. Main development area is an area with industrial domination as a driver of economic growth. The electricity demand driver variables are different for type of electricity consumer. However, they will be equal for main development areas. The variables have no significant effect can be reduced by using PCA. The generated models tested to assess whether it still at the range of confidence level of electricity demand forecasting. At the case study, generated model for main development areas at South Sumatra Subsystem as a part of Sumatra System is still in the range of confidence level. Thus, MDSA can be proposed as alternative approach in transmission planning that considering location.
  • Keywords
    government policies; load forecasting; power transmission planning; principal component analysis; MDSA; PCA; QA; South Sumatra subsystem; confidence level; economic growth; electricity consumer; electricity demand driver variables; electricity infrastructure development; industrial domination; long time electricity demand forecasting; macro demand spatial approach; main development area; policy decision; principal component analysis; qualitative analysis; spatial demand forecasting; transmission planning; Economics; Electricity; Equations; Load forecasting; Mathematical model; Planning; Principal component analysis; electricity demand forecasting; macro demand spatial approach; main development area; principal component analysis; transmission planning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Engineering Conference (APPEEC), 2013 IEEE PES Asia-Pacific
  • Conference_Location
    Kowloon
  • Type

    conf

  • DOI
    10.1109/APPEEC.2013.6837256
  • Filename
    6837256