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Supply pattern of electric power embrace generation, transmission, and distrbution, is started with supply planning of load demand. Load forecasting is an important step as first initiated in expansion electric power planning. Load forecasting used has some advantages like more simple and easier to...
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id-itb.:98092017-09-27T15:37:37Z#TITLE_ALTERNATIVE# SENEN (NIM 23206003), ADRI Indonesia Theses INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/9809 Supply pattern of electric power embrace generation, transmission, and distrbution, is started with supply planning of load demand. Load forecasting is an important step as first initiated in expansion electric power planning. Load forecasting used has some advantages like more simple and easier to apply; yet it is faced in a situation which of these methods to be driven out in area that has very poor data availability and dynamic service area. Therefore, Author tries to develop microspatial electric load forecasting metodology to understand electric demand growth according with its area characteristic. This metodology based on land-used simulation which perform more involved multivariate modeling of the process of growth, it will work with demographic,geographic, and economic data in addition to electric load data. Finally, This metodology can project both the magnitude and location of future electric load growth, and provides the geographics resolution of electrical demand growth location needed for distribution system planning text |
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Supply pattern of electric power embrace generation, transmission, and distrbution, is started with supply planning of load demand. Load forecasting is an important step as first initiated in expansion electric power planning. Load forecasting used has some advantages like more simple and easier to apply; yet it is faced in a situation which of these methods to be driven out in area that has very poor data availability and dynamic service area. Therefore, Author tries to develop microspatial electric load forecasting metodology to understand electric demand growth according with its area characteristic. This metodology based on land-used simulation which perform more involved multivariate modeling of the process of growth, it will work with demographic,geographic, and economic data in addition to electric load data. Finally, This metodology can project both the magnitude and location of future electric load growth, and provides the geographics resolution of electrical demand growth location needed for distribution system planning |
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SENEN (NIM 23206003), ADRI |
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SENEN (NIM 23206003), ADRI #TITLE_ALTERNATIVE# |
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SENEN (NIM 23206003), ADRI |
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SENEN (NIM 23206003), ADRI |
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https://digilib.itb.ac.id/gdl/view/9809 |
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1820664802327920640 |