Validation process for a fuzzy spatial load forecasting

Abstract

This paper reports the method used to validate a spatial load forecasting model based on Fuzzy Inference Systems (FIS) and implemented in a Geographical Information System. The validation process not only confirms the adequacy of the rule base but is necessary to define confidence intervals to the predicted spatial demand.

Compromise Seeking for Power Line Path Selection Based on Economic and Environmental Corridors

“…Block C in Fig. 1 corresponds to determine efficient compromise paths by applying the DP optimization algorithm to the global utility function F GWEco,GWEnv defined in (1).…”

“…Recently the use of GIS has become commonplace in several leading professional automation planning distribution software packages, due to their ability to deal with the geographic realism of the problem, offering new interface capabilities to planners. Most applications are related to distribution planning, starting by locating loads with spatial load forecasting [1] and [2], load analysis for transformer load management [3], underground cable routing for urban distribution [4], distribution feeder optimization using spatial dynamic programming [5] and [6], automation of distribution planning including substation sitting optimization [7], and general line routing based on path corridor optimization [8].…”