A Gaussian mask model for spatial load growth

The main objective of this paper is to present the results of a new model aimed at the load forecast of a region divided by grids, using a methodology based on Gaussian filter and image dilation algorithms, which provides the load growth of each cell in the studied area, separated by their consumer classes. For that matter, the history of each grid´s energy and power and the global growing rate for each substation are available.