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
Link To Document :
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