Make Input Profiles Available for Scenario Object #29
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data collection
Input data (demand, hydro/solar/wind)
new feature
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rouille
added
data collection
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Hydro, solar and wind have been produced. Demand v3 has been produced too. Following, recent discussions on demand profile generation and the need to change the method, a new version of the Western demand profiles will be generated and will be used for Texas-Western. |
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As I understand, the demand profile is available now. Let me know when all the data is ready. |
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@rouille are you done with this? |
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Well, we still need to import Texas-Western hydro v2. |
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Is Texas-Western hydro v2 imported? |
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Not yet |
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All profiles for Texas-Western are now on the server |
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jmbott
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May 26, 2022
* feat: puma latitude and longitude added to puma_data dataframe * feat: puma latitude/longitude csv to be appeneded to puma_data * feat: national pumas and balanacing authorities shapefiles * feat: zone profile generator * refactor: linting * refactor: linting * refactor: replace while loop in bkpt_scale() with a sorting method * refactor: move all logic within functions or if block (Breakthrough-Energy#26) * refactor: simplify hourly_load_fit and improve pandas 1.3 compatibility (Breakthrough-Energy#27) * zone_profile_gen.py updates from Evan - puma.area error fix, cooling equations update, zonal_data() refactor, wb/db fit update, profile year added * feat: updated min daily number of load/temp points to fit to from 8 to 10 * feat: folder for generated profiles * feat: folder for zone day hour coefficients * feat: hourly fits graphs, profile stats export * "profiles, hourly fits, and profile graphs" * graphs * profiles for zones in NY, CA, and TX. update to zone_profile_generator to account for puma_data year update * linting * linting * feat: add wetbulb temp and darkness fraction functions to era5_data_a… (Breakthrough-Energy#29) * feat: add wetbulb temp and darkness fraction functions to era5_data_agg.py, now renamed weather_data_agg.py * chore: code style cleanup * chore: import sorting * chore: linting fixes Co-authored-by: Daniel Olsen <[email protected]> * Mike/weather write fix (Breakthrough-Energy#30) * fix: reference const.state_list * refactor: save dark_frac output to local files * refactor: save temps_wetbulb to local files * chore: remove unused state_list * style: linting fixes with black * fix: remove 2010 reference for cdd65 * chore: update puma_data * refactor: use base_year from const.py * refactor: rename load_year to base_year * Yinbo/zone profile gen refactor (Breakthrough-Energy#32) * Fix: create output folders if the address is not exist on local machine; Refactor: add plot_boolean to control whether or not plot result profiles * test * style: style correction using 'black' * style:switch the order of package importing * style * chore: change os.path.exists to os.path.isdir in order to avoid same file names * chore: add docstring * style: docstring style fixed Co-authored-by: danielolsen <[email protected]> Co-authored-by: Daniel Olsen <[email protected]> Co-authored-by: mbwaite <[email protected]> Co-authored-by: yinboHU <[email protected]>
jmbott
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May 26, 2022
Breakthrough-Energy#29) * feat: add wetbulb temp and darkness fraction functions to era5_data_agg.py, now renamed weather_data_agg.py * chore: code style cleanup * chore: import sorting * chore: linting fixes Co-authored-by: Daniel Olsen <[email protected]>
jmbott
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May 26, 2022
Breakthrough-Energy#29) * feat: add wetbulb temp and darkness fraction functions to era5_data_agg.py, now renamed weather_data_agg.py * chore: code style cleanup * chore: import sorting * chore: linting fixes Co-authored-by: Daniel Olsen <[email protected]>
BainanXia
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Feb 21, 2023
* feat: puma latitude and longitude added to puma_data dataframe * feat: puma latitude/longitude csv to be appeneded to puma_data * feat: national pumas and balanacing authorities shapefiles * feat: zone profile generator * refactor: linting * refactor: linting * refactor: replace while loop in bkpt_scale() with a sorting method * refactor: move all logic within functions or if block (Breakthrough-Energy#26) * refactor: simplify hourly_load_fit and improve pandas 1.3 compatibility (Breakthrough-Energy#27) * zone_profile_gen.py updates from Evan - puma.area error fix, cooling equations update, zonal_data() refactor, wb/db fit update, profile year added * feat: updated min daily number of load/temp points to fit to from 8 to 10 * feat: folder for generated profiles * feat: folder for zone day hour coefficients * feat: hourly fits graphs, profile stats export * "profiles, hourly fits, and profile graphs" * graphs * profiles for zones in NY, CA, and TX. update to zone_profile_generator to account for puma_data year update * linting * linting * feat: add wetbulb temp and darkness fraction functions to era5_data_a… (Breakthrough-Energy#29) * feat: add wetbulb temp and darkness fraction functions to era5_data_agg.py, now renamed weather_data_agg.py * chore: code style cleanup * chore: import sorting * chore: linting fixes Co-authored-by: Daniel Olsen <[email protected]> * Mike/weather write fix (Breakthrough-Energy#30) * fix: reference const.state_list * refactor: save dark_frac output to local files * refactor: save temps_wetbulb to local files * chore: remove unused state_list * style: linting fixes with black * fix: remove 2010 reference for cdd65 * chore: update puma_data * refactor: use base_year from const.py * refactor: rename load_year to base_year * Yinbo/zone profile gen refactor (Breakthrough-Energy#32) * Fix: create output folders if the address is not exist on local machine; Refactor: add plot_boolean to control whether or not plot result profiles * test * style: style correction using 'black' * style:switch the order of package importing * style * chore: change os.path.exists to os.path.isdir in order to avoid same file names * chore: add docstring * style: docstring style fixed Co-authored-by: danielolsen <[email protected]> Co-authored-by: Daniel Olsen <[email protected]> Co-authored-by: mbwaite <[email protected]> Co-authored-by: yinboHU <[email protected]>
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The Texas-Western tests with DC line were carried out using the previous software framework. I am going to import the input profiles (demand, hydro, solar and wind) to the new framework in order to perform the tests with the
Scenarioobject.The text was updated successfully, but these errors were encountered: