pypsa-eur/doc/configtables/load.csv

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2019-08-07 08:56:23 +00:00
,Unit,Values,Description
Update load processing (#211) * build_load_data * Add documentation * updating load data import * Update Config files * Update load.csv * Update add_electricity.py * change log file name * Update scripts/add_electricity.py Co-authored-by: FabianHofmann <hofmann@fias.uni-frankfurt.de> * Update scripts/build_load_data.py Co-authored-by: FabianHofmann <hofmann@fias.uni-frankfurt.de> * Update scripts/build_load_data.py Co-authored-by: FabianHofmann <hofmann@fias.uni-frankfurt.de> * Update scripts/build_load_data.py Co-authored-by: FabianHofmann <hofmann@fias.uni-frankfurt.de> * Update build_load_data.py * Update build_load_data.py * Update scripts/build_load_data.py Co-authored-by: FabianHofmann <hofmann@fias.uni-frankfurt.de> * update gap handling in build_load_data * Update build_load_data.py * Update config.test1.yaml * update test.config * Update config.tutorial.yaml * update load csv function for load data * Update build_load_data.py * Update config.test1.yaml * Update add_electricity.py * Update build_load_data.py * Added error messages if load data contains gaps after modifications * general adjustments: - reduce data source to only entsoe statistics - sanitize code - adjust logging messages - adjust daocstrings * update Snakefile config and docs * update release notes rename build_load -> build_load_data in config * small follow up * - reintroduce choice between powerstatistics and transparency - remove load_ timeseries from databundle - always build load_data - reinsert scaling factor in config - fix url to 2019 version * update doc: configtable, release notes update config.yaml * follow up Co-authored-by: Jan Frederick <jan.frederick.unnewehr@inatech.uni-freiburg.de> Co-authored-by: JanFrederickUnnewehr <50404069+JanFrederickUnnewehr@users.noreply.github.com>
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interpolate_limit,hours,integer,"Maximum gap size (consecutive nans) which interpolated linearly."
time_shift_for_large_gaps,string,string,"Periods which are used for copying time-slices in order to fill large gaps of nans. Have to be valid ``pandas`` period strings."
manual_adjustments,bool,"{true, false}","Whether to adjust the load data manually according to the function in :func:`manual_adjustment`."
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scaling_factor,--,float,"Global correction factor for the load time series."
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fixed_year,--,Year or False,"To specify a fixed year for the load time series that deviates from the snapshots' year"
supplement_synthetic,bool,"{true, false}","Whether to supplement missing data for selected time period should be supplemented by synthetic data from https://zenodo.org/records/10820928."
distribution_key,--,--,"Distribution key for spatially disaggregating the per-country electricity demand data."
-- gdp,float,"[0, 1]","Weighting factor for the GDP data in the distribution key."
-- population,float,"[0, 1]","Weighting factor for the population data in the distribution key."