The common energy projection method is macro-based model. As consequence, it is unable to show load centers in microgrids and failed to locate the distribution station. Thus, a macro model for forecasting cannot be applied in creating a master plan of electricity distribution. For this reason, micro-spatial energy projection needs to be implemented. Micro-spatial energy projection method falls into two categories; trending and multivariate simulation analysis. The more variables involved in energy projection, the more accurate the result. The projection is correlated to interaction among variables in the form of factors, as each service area has different dominant factors. Exploratory Factor Analysis was applied in this research to identify the dominant factors. This method is used to determine the dominant factors among observed variables. This research used 12 independent variables, 8 variables are grouped into 3 principal factors based on the result of component transformation matrix. The three factors are used in a mathematical model of projection of energy demand, so the result of projection can be more accurate.