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fixed bug in creation of simulation data

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This commit is contained in:
Khalim Conn-Kowlessar 2024-10-16 20:50:20 +01:00
parent 135831febb
commit 7ef08b1778
1 changed files with 11 additions and 4 deletions
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15
etl/epc/generate_scenarios_data.py
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@ -3,6 +3,7 @@ import itertools
from tqdm import tqdm
import pandas as pd
from etl.epc.Record import EPCRecord
from etl.bill_savings.KwhData import KwhData
from backend.SearchEpc import SearchEpc
@ -1257,6 +1258,12 @@ scenario_properties = [
{},
[0, 1, 2]
],
[
["internal_wall_insulation"],
"12",
{},
[0, 1, 2]
],
],
},
]
@ -1387,7 +1394,7 @@ for scenario_property in tqdm(scenario_properties):
if "low_energy_lighting" in measure:
for rec in led_recommendations:
if rec["type"] == "led_lighting":
if rec["type"] == "low_energy_lighting":
lighting_recs.append(rec)
if "suspended_floor_insulation" in measure:
@ -1473,11 +1480,11 @@ sap_impact = sap_impact[
# Get some metrics - MAPE for local testing
mae = mean_absolute_error(sap_impact["actual_post_sap"], sap_impact["predicted_post_sap"])
# 1.6828571428571433
# 1.6511627906976745
mape = mean_absolute_percentage_error(sap_impact["actual_post_sap"], sap_impact["predicted_post_sap"])
# 0.02510877585853886
# 0.02493675525723527
mape_impact = mean_absolute_percentage_error(sap_impact["actual_impact"], sap_impact["predicted_impact"])
# 0.35805350998208146
# 0.34215659663334086
save_dataframe_to_s3_parquet(
recommendations_scoring_data,