Profile analysis of daily electricity workloads in Malaysia
DOI:
https://doi.org/10.11113/mjfas.v8n4.162Keywords:
Data Analysis, Time Series Model, Linear Regression, Ordinary Least-Squared,Abstract
We learn from literature review that research on statistical modelling of Malaysia daily electricity workload has received very much attention. However, to our knowledge, profile analysis of daily electricity workload had received far less attention. Profile analysis will provide us with daily time series model which is very important in order to understand the statistical model for annual situation. This paper deal with profile analysis and its advantage.References
M.Shelton, Basic Concept in Profile Analysis of Means, Texas A&M University,1998
NIST/SEMATECH e-Handbook of Statistical Methods, http://www.itl.nist.gov/div898/handbook/
David J. Gerby, Clustering Analysis, Purdue University.
Zuhaimy, Rosnalini, Short Term Forecasting of Malaysian Electricity Load Demand Based on Day-Type,Universiti Teknologi Malaysia.
