pypsa-eur/doc/configtables/load.csv
FabianHofmann 9792069ab3
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>
2020-12-03 12:49:04 +01:00

809 B

1UnitValuesDescription
2url--stringLink to open power system data time series data.
3power_statisticsbool{true, false}Whether to load the electricity consumption data of the ENTSOE power statistics (only for files from 2019 and before) or from the ENTSOE transparency data (only has load data from 2015 onwards).
4interpolate_limithoursintegerMaximum gap size (consecutive nans) which interpolated linearly.
5time_shift_for_large_gapsstringstringPeriods which are used for copying time-slices in order to fill large gaps of nans. Have to be valid ``pandas`` period strings.
6manual_adjustmentsbool{true, false}Whether to adjust the load data manually according to the function in :func:`manual_adjustment`.
7scaling_factor--floatGlobal correction factor for the load time series.