Studi Prakiraan Beban Listrik Secara Mikrospasial Berdasarkan Simulasi Tata Guna Lahan
Abstract: Current electricity
load forecasting sectoral become simpler and easier to implement. However,
these conditions are faced with a situation where the results of macro
forecasts still so do not show the load centers on a smaller area (grid) and
resulted in no distribution substation location can be determined with
certainty. In addition, the accuracy would tend to bias in a region that has
limited data and the area of land use change that fast. Therefore, in this
paper will outline the problem by conducting research on the electric load
forecasting smaller area. This research method is to use clustering techniques
to overcome the problem of the large volume of arithmetic processes. Expected
benefits of this research will be able to provide information determining the
magnitude of the load, when it happens and where is the location of the burden
of a higher level of accuracy, making it suitable to be used for basic planning
of power distribution network development. The results showed that the
processing of the correlation matrix between variables with clustering
techniques gained 4 cluster of 107 villages located in Kebayoran AJ. Then the
average growth of electricity demand per year (2007-2016) per sector: 6:38%
(Estate: 6.4%; Industry: 6.2%; Business: 6.4%, and the social: 6.0%).
Penulis: Adri Senen
Kode Jurnal: jptlisetrodd130742
