prepareFeatureSet: Compiles a list of features from energy consumption data

Description

Returns a vector of feature names that can be calculated by methods in the *SmartMeterAnalytics* package obtains the feature set according

Usage

prepareFeatureSet(
  features.granularity = NA,
  features.w_adj = FALSE,
  features.anonymized = FALSE,
  features.categorical = FALSE,
  features.geo = "osm-v1",
  features.temperature = TRUE,
  features.weather = TRUE,
  features.neighborhood = FALSE
)

Value

Character vector

Arguments

features.granularity: Character: The granularity of the input data, either "15-min" (only 15-min features), "30-min" (only 30-minute features), "all_30min_to_week" (all features on daily, weekly, hourly, ..., up to 30-min data), "all_15_week" (all up to 15-min dara), "week" (only the consumption of one week as a single feature).
features.w_adj: Boolean: are the features to be weather adjusted with DiD-Class (NOT IMPLEMENTED YET!)
features.anonymized: Boolean: are anonymized geographic features used (NOT IMPLEMENTED YET!)
features.categorical: Boolean: use categorical features additionally (if only numeric features are used)
features.geo: Character: Version of the geographic feature set (either "none", "osm-v1", "osm-v2")
features.temperature: Boolean, if features for the temperature should be included
features.weather: Boolean, if other weather features should be included
features.neighborhood: Boolean, if features for the neighborhood should be included

Author

Konstantin Hopf konstantin.hopf@uni-bamberg.de

References

Hopf, K. (2019). Predictive Analytics for Energy Efficiency and Energy Retailing (1st ed.). Bamberg: University of Bamberg. tools:::Rd_expr_doi("10.20378/irbo-54833")

Hopf, K., Sodenkamp, M., Kozlovskiy, I., & Staake, T. (2014). Feature extraction and filtering for household classification based on smart electricity meter data. Computer Science-Research and Development, (31) 3, 141–148. tools:::Rd_expr_doi("10.1007/s00450-014-0294-4")

Hopf, K., Sodenkamp, M., & Staake, T. (2018). Enhancing energy efficiency in the residential sector with smart meter data analytics. Electronic Markets, 28(4). tools:::Rd_expr_doi("10.1007/s12525-018-0290-9")

Beckel, C., Sadamori, L., Staake, T., & Santini, S. (2014). Revealing household characteristics from smart meter data. Energy, 78, 397–410. tools:::Rd_expr_doi("10.1016/j.energy.2014.10.025")