Applications of noniterative least absolute value estimation for forecasting annual peak electric power demand

摘要

A noniterative least absolute value (LAV0 technique for estimating the parameters of a selected electric load forecasting model is utilized. The selected forecasting model with the estimated parameters is employed in forecasting the demand of a given data set. The main feature of the LAV technique is its apability of rejecting any bad data in the parameters estimation process without any previous knowledge of their location. To illustrate the efficiency of the LAV technique in electric load forecasting, two types of applications are considered.