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

• 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/15409/1/22.pdf; http://journalarticle.ukm.my/15409/; http://www.ukm.my/jsm/malay_journals/jilid49bil5_2020/KandunganJilid49Bil5_2020.html

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...