DefinePK

DefinePK hosts the largest index of Pakistani journals, research articles, news headlines, and videos. It also offers chapter-level book search.

Select Collection

Sequential process of feature extraction methods for artificial neural network in short term load forecasting

Article Information

Get PDF View Article
Login to Add in Library

Title: Sequential process of feature extraction methods for artificial neural network in short term load forecasting

Authors: Muhammad Murtadha Othman, Mohd Hafez Hilmi Harun, Nur Ashida Salim, Mohammad Lutfi Othman

Journal: ARPN Journal of Engineering and Applied Sciences

HEC Recognition History
Category From To
Y 2023-07-01 2024-09-30
Y 2022-07-01 2023-06-30
Y 2021-07-01 2022-06-30
X 2020-07-01 2021-06-30

Publisher: Khyber Medical College, Peshawar

Country: Pakistan

Year: 2015

Volume: 10

Issue: 19

Language: English

Categories
Computer Science (14978) Feature Extraction (31) Load Forecasting (12) Chemical Reactions (5) Short-Term Forecasting (1) Fluid Dynamics (835) Heat Transfer (461) Magnetohydrodynamics (51) Mechanical Engineering (4477) Artificial Neural Networks (61)

Abstract

The first stage of feature extraction involves a transformation of raw data that is from the chronological hourly peak loads to the multiple time lags of hourly peak loads. This is followed by the next feature extraction wherein the principal component analysis (PCA) is used to further improve the input data which will significantly enhance the performance of ANN in forecasting the hourly peak loads with less error. The output of ANN is then converted to a non-stationary form which represents as the forecasted hourly peak load for the next 24 hour. The Malaysian hourly peak loads in the year 2002 is used as case study to verify the effectiveness of ANN in STLF.

Paper summary is not available for this article yet.

Loading PDF...

Loading Statistics...