DOIONLINE 
DOIONLINE Publish In |
International Journal of Advances in Electronics and Computer Science-IJAECS |
 Journal Home Volume Issue |
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Issue |
Volume-9,Issue-11 ( Nov, 2022 ) | |||||||||
Paper Title |
Missing Value Imputation for Institutional Smartmeter Dataset | |||||||||
Author Name |
V.Nivedha, G.R.Hemanth, S.Charles Raja | |||||||||
Affilition |
1PG Student Thiagarajar College of Engineering, Madurai-625015, India 2Assistant Professor Thiagarajar College of Engineering, Madurai-625015, India 3Associate Professor Thiagarajar College of Engineering, Madurai-625015, India | |||||||||
Pages |
9-13 | |||||||||
Abstract |
Abstract - Smart meters provide necessary data about different electrical parameters such as power factor, voltage, current, electric energy consumption that are subjected to anomalies, missing values, outliers, inconsistencies, etc. Complete data is required for a Load prediction analysis. Hence the Missing value imputation is essential. Load prediction can also be done by neglecting the missed values but it reduces the reliability. So missing values have been detected and imputations have been done using certain methods. | |||||||||
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