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 being...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Penerbit UKM
2020
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/90583/1/NurArinaBazilah2020_ImputationTechniquesforIncompleteLoadData.pdf http://eprints.utm.my/id/eprint/90583/ http://dx.doi.org/10.17576/jsm-2020-4905-22 |
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