LOAD FORECASTING USING BOX‐JENKINS METHODOLOGY

Author:

GÖNEN TURAN

Abstract

This paper discusses the use of stochastic models based on the Box‐Jenkins modeling methodology to determine the future electrical loads. The developed forecasting models have been applied successfully by using the electrical load data provided by the Oklahoma Gas and Electric Company.

Publisher

Emerald

Subject

Applied Mathematics,Electrical and Electronic Engineering,Computational Theory and Mathematics,Computer Science Applications

Reference9 articles.

1. Time Series Analysis;Box G.P.,1976

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1. Prediction to Industrial Waste Disposal Management by Using Box-Jenkins Method and Created Applications for a Company A and Their Service Providers in Thailand;FRONT ARTIF INTEL AP;2020

2. Medium range forecasting of power system load using modified Kalman filter and Walsh transform;International Journal of Electrical Power & Energy Systems;1993-04

3. Medium range forecasting of hourly power system load by time series analysis using the Walsh transform;International Journal of Electrical Power & Energy Systems;1991-08

4. A NEW STOCHASTIC LOAD FORECASTING MODEL TO PREDICT LOAD GROWTH ON RADIAL FEEDERS;COMPEL - The international journal for computation and mathematics in electrical and electronic engineering;1985-03-01

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