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Household Data
- data.open-power-system-data.org
csv, sqlite, xlsxUpdated Nov 10, 2017
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EmailClick to copy linkLink copiedCiteAdrian Minde (2017). Household Data [Dataset]. http://doi.org/10.25832/household_data/2017-11-10csv, sqlite, xlsxAvailable download formatsUnique identifierhttps://doi.org/10.25832/household_data/2017-11-10Dataset updatedNov 10, 2017Dataset provided byOpen Power System DataAuthorsAdrian MindeTime period coveredOct 26, 2015 - Feb 9, 2017Variables measuredutc_timestamp, cet_cest_timestamp, interpolated_values, DE_KN_industrial3_ev, DE_KN_industrial3_pv, DE_KN_residential1_pv, DE_KN_residential3_pv, DE_KN_residential4_ev, DE_KN_residential4_pv, DE_KN_residential6_pv, and 63 moreDescriptionDetailed household load and solar generation in minutely to hourly resolution. This data package contains measured time series data for several small businesses and private households relevant for household- or low-voltage-level power system modeling. The data includes solar power generation as well as electricity consumption (load) in a resolution up to single device consumption. The starting point for the time series, as well as data quality, varies between households, with gaps spanning from a few minutes to entire hours. In general, data is adjusted to fit uniform, regular time intervals without changing its validity. Except for small gaps, filled using linear interpolation. The numbers are cumulative power consumption/generation over time. Hence overall energy consumption/generation is retained in case of data gaps. Measurements were initially conducted in 3-minute intervals, later in 1-minute intervals. Data for both measurement resolutions are published separately in large CSV files. Additionally, data in 15 and 60-minute resolution is provided for compatibility with other time series data. Data processing is conducted in Jupyter Notebooks/Python/pandas.
- O
Household Data
- data.open-power-system-data.org
csv, sqlite, xlsxUpdated Apr 15, 2020ShareFacebookTwitterEmailClick to copy linkLink copiedCiteAdrian Minde (2020). Household Data [Dataset]. https://data.open-power-system-data.org/household_data/xlsx, csv, sqliteAvailable download formatsDataset updatedApr 15, 2020Dataset provided byOpen Power System DataAuthorsAdrian MindeTime period coveredDec 11, 2014 - May 1, 2019Variables measuredinterpolated, utc_timestamp, cet_cest_timestamp, DE_KN_industrial2_pv, DE_KN_industrial3_ev, DE_KN_residential1_pv, DE_KN_residential3_pv, DE_KN_residential4_ev, DE_KN_residential4_pv, DE_KN_residential6_pv, and 61 moreDescriptionDetailed household load and solar generation in minutely to hourly resolution. This data package contains measured time series data for several small businesses and residential households relevant for household- or low-voltage-level power system modeling. The data includes solar power generation as well as electricity consumption (load) in a resolution up to single device consumption. The starting point for the time series, as well as data quality, varies between households, with gaps spanning from a few minutes to entire days. All measurement devices provided cumulative energy consumption/generation over time. Hence overall energy consumption/generation is retained, in case of data gaps due to communication problems. Measurements were conducted 1-minute intervals, with all data made available in an interpolated, uniform and regular time interval. All data gaps are either interpolated linearly, or filled with data of prior days. Additionally, data in 15 and 60-minute resolution is provided for compatibility with other time series data. Data processing is conducted in Jupyter Notebooks/Python/pandas.
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FacebookTwitterEmailDetailed household load and solar generation in minutely to hourly resolution. This data package contains measured time series data for several small businesses and private households relevant for household- or low-voltage-level power system modeling. The data includes solar power generation as well as electricity consumption (load) in a resolution up to single device consumption. The starting point for the time series, as well as data quality, varies between households, with gaps spanning from a few minutes to entire hours. In general, data is adjusted to fit uniform, regular time intervals without changing its validity. Except for small gaps, filled using linear interpolation. The numbers are cumulative power consumption/generation over time. Hence overall energy consumption/generation is retained in case of data gaps. Measurements were initially conducted in 3-minute intervals, later in 1-minute intervals. Data for both measurement resolutions are published separately in large CSV files. Additionally, data in 15 and 60-minute resolution is provided for compatibility with other time series data. Data processing is conducted in Jupyter Notebooks/Python/pandas.