  Distribution Load Estimation (DLE) is a key function of Distribution
Management System (DMS). In this paper a novel method for presenting historical
load data in the form of Representative Load Curves (RLC) is presented.
Adaptive Neuro-Fuzzy Inference Systems (ANFIS) is used in this regard to
estimate the RLC. Accurate RLCs provide better pseudo-measurements for
real-time load estimation in distribution networks. The performance of the
proposed method is demonstrated on an 11kV radial distribution network with the
aid of the MATLAB software. The mean absolute percent error (MAPE) criterion is
used to quantify the accuracy of the estimated RLC.
