Paper Title
Missing Value Imputation for Institutional Smartmeter Dataset

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.