Imputation techniques for incomplete load data based on seasonality and orientation of the missing values

Imputation techniques for incomplete load data based on seasonality and orientation of the missing values

In load data, the missing problem always occurs in a set of data. Since it has a seasonal pattern according to days, most of the time, the load usage for the next day is predictable. For this reason, a new model has been developed based on these characteristics. Data containing missing values bein...

Full description

Bibliographic Details
Main Authors: Nur Arina Bazilah Kamisan, Muhammad Hisyam Lee, Abdul Ghapor Hussin, Yong Zulina Zubairi
Format: Article
Language:English
Published: Penerbit Universiti Kebangsaan Malaysia 2020
Online Access:http://journalarticle.ukm.my/15409/
http://journalarticle.ukm.my/15409/1/22.pdf

Similar Items

Similar Items