PyPSA / pypsa-ariadne

High resolution, sector-coupled model of the German Energy System
https://ariadneprojekt.de/en/model-documentation-pypsa/
MIT License
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improving NEP plots #273

Closed lindnemi closed 2 weeks ago

lindnemi commented 2 weeks ago

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Validator Report

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Ariadne Variables

Comparison
NRMSE Pearson
Price|Primary Energy|Oil 0.360 0.000
Capacity|Electricity|Storage Converter 0.333 0.636
Price|Secondary Energy|Gases|Hydrogen 0.325 0.000
Price|Secondary Energy|Gases|Biomass 0.267 0.000
Secondary Energy|Electricity|Hydro 0.225 0.992
Price|Secondary Energy|Liquids|Hydrogen 0.221 0.848
Length Additions|Electricity|Transmission|AC 0.205 0.788
Capacity|Heat|Non-Renewable Waste 0.167 0.980
Capacity|Electricity|Non-Renewable Waste 0.162 0.982
Length Additions|Electricity|Transmission 0.145 0.964
Primary Energy|Waste|Heat 0.120 0.981
Secondary Energy|Heat|Waste 0.119 0.982
Final Energy|Waste 0.119 0.982
Primary Energy|Waste 0.119 0.982
Primary Energy|Waste|Electricity 0.116 0.983
Secondary Energy|Electricity|Waste 0.115 0.983
Capacity Additions|Heat|Non-Renewable Waste 0.113 0.960
Trade|Secondary Energy|Electricity|Volume 0.112 0.956
Capacity Additions|Electricity|Non-Renewable Waste 0.108 0.963
Investment|Energy Supply|Electricity|Biomass|Solids 0.105 1.000
Investment|Energy Supply|Electricity|Biomass|w/o CCS 0.105 1.000
Investment|Energy Supply|Heat|Biomass|w/o CCS 0.105 1.000
Investment|Energy Supply|Heat|Biomass 0.105 1.000
Investment|Energy Supply|Electricity|Biomass 0.105 1.000
Investment|Energy Supply|Electricity|Non-Renewable Waste 0.102 0.982
Investment|Energy Supply|Heat|Non-Renewable Waste 0.102 0.982
NRMSE: Normalized (combined-min-max) Root Mean Square Error Pearson: Pearson correlation coefficient Threshold: NRMSE > 0.1 Only variables reaching the threshold are shown. Find the equivalent plot for all of them below.
Plots
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:warning: Note: Only the first 20 variables are shown, but more are above the threshold. Find all of them in the artifacts.

General

Plots comparison
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Files comparison
Status NRMSE MAE (norm)
csvs/prices.csv :warning:Changed 0.001 0.06
csvs/curtailment.csv :warning:Changed 0.000 0.13
csvs/price_statistics.csv :warning:Changed 0.002 0.19
csvs/cumulative_cost.csv :warning:Changed 0.000 0.20
csvs/metrics.csv :warning:Changed 0.000 0.08
csvs/nodal_cfs.csv :white_check_mark: Almost equal 0.009 0.00
csvs/supply.csv :white_check_mark: Almost equal 0.001 0.01
csvs/nodal_supply_energy.csv :white_check_mark: Almost equal 0.000 0.00
csvs/capacities.csv :white_check_mark: Almost equal 0.000 0.01
csvs/nodal_costs.csv :white_check_mark: Almost equal 0.000 0.00
csvs/market_values.csv :white_check_mark: Almost equal 0.008 0.05
csvs/nodal_capacities.csv :white_check_mark: Almost equal 0.000 0.00
csvs/cfs.csv :white_check_mark: Almost equal 0.037 0.00
csvs/costs.csv :white_check_mark: Almost equal 0.000 0.01
csvs/supply_energy.csv :white_check_mark: Almost equal 0.000 0.02
csvs/energy.csv :white_check_mark: Almost equal 0.000 0.01
csvs/weighted_prices.csv :white_check_mark: Equal
NRMSE: Normalized (combined-min-max) Root Mean Square Error MAE (norm): Mean Absolute Error on normalized data (min-max) Status Threshold: MAE (norm) > 0.05 and NRMSE > 0.3

Model Metrics

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Comparing improve-NEP-plots (158aa54) with main (48ccaef). Branch is 4 commits ahead and 1 commits behind. Last updated on 2024-11-05 18:18:44 CET.