Methods for Smart Meter Data Analysis

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Documentation for package ‘SmartMeterAnalytics’ version 1.0.3

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calc_features15_consumption Calculates features from 15-min smart meter data
calc_features30_consumption Calculates features from 30-min smart meter data
calc_features60_consumption Calculates features from 15-min smart meter data
calc_featuresco_consumption Calculates consumption features from weekly consumption only
calc_featuresda_consumption Calculates consumption features from daily smart meter data
calc_featureshtnt_consumption2 Calculates consumption features from daily (HT / NT) smart meter data
calc_featuresnt_consumption Calculates consumption features from daily (HT / NT) smart meter data
calc_features_daily_multipleTS Calculates feature from multiple time series data vectors
calc_features_weather Calculates features from one environmental time-series variable and smart meter data
encode_p_val_stars Encodes p-values with a star rating according to the Significance code:
features_all_subsets Creates a set of all combinations of features
getDay_ISO8601_week Retrieves the date of the monday in a ISO8601 week-string
getDay_US_week Retrieves the date of the monday in a US week-string (as implemented by R as.Date)
interpolate_missingReadings Interpolate missing readings
naInf_omit Removes the rows with NA or Inf values
occupancy_cluster Determines two clusters of high and low consumption times (e.g., non-ocupancy during holidays)
prepareFeatureSet Compiles a list of features from energy consumption data
remove_empty_features Removes variables with no necessary information from a data.frame
replaceNAsFeatures Replaces NA values with a given ones
smote Synthetic minority oversampling (SMOTE)