refactor: rename wraparound trip indices for clarity

Breakthrough-Energy · Nov 14, 2022 · 8dd0285 · 8dd0285
1 parent e91c5a3
commit 8dd0285
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Showing 4 changed files with 8 additions and 12 deletions.
diff --git a/prereise/gather/demanddata/transportation_electrification/immediate.py b/prereise/gather/demanddata/transportation_electrification/immediate.py
@@ -210,12 +210,10 @@ def immediate_charging(
         daily_profile = daily_resampled_profiles[flag_translation[weekday_flag]]
 
         # create wrap-around indexing function
-        profile_window_indices = np.arange(i * 24, i * 24 + 72) % len(
-            model_year_profile
-        )
+        trip_window_indices = np.arange(i * 24, i * 24 + 72) % len(model_year_profile)
 
         # MW
-        model_year_profile[profile_window_indices] += daily_profile
+        model_year_profile[trip_window_indices] += daily_profile
 
     # Normalize the output so that it sums to 1
     summed_profile = model_year_profile / model_year_profile.sum()

diff --git a/prereise/gather/demanddata/transportation_electrification/immediate_charging_HDV.py b/prereise/gather/demanddata/transportation_electrification/immediate_charging_HDV.py
@@ -266,12 +266,10 @@ def immediate_charging(
 
     for i in range(model_year_len):
         # create wrap-around indexing function
-        profile_window_indices = np.arange(i * 24, i * 24 + 72) % len(
-            model_year_profile
-        )
+        trip_window_indices = np.arange(i * 24, i * 24 + 72) % len(model_year_profile)
 
         # MW
-        model_year_profile[profile_window_indices] += daily_profile
+        model_year_profile[trip_window_indices] += daily_profile
 
     # Normalize the output so that it sums to 1
     summed_profile = model_year_profile / model_year_profile.sum()

diff --git a/prereise/gather/demanddata/transportation_electrification/smart_charging.py b/prereise/gather/demanddata/transportation_electrification/smart_charging.py
@@ -286,12 +286,12 @@ def smart_charging(
         outputelectricload = sum(g2v_load)
 
         # create wrap-around indexing function
-        profile_window_indices = np.arange(day_iter * 24, day_iter * 24 + 72) % len(
+        trip_window_indices = np.arange(day_iter * 24, day_iter * 24 + 72) % len(
             model_year_profile
         )
 
         # MW
-        model_year_profile[profile_window_indices] += (
+        model_year_profile[trip_window_indices] += (
             outputelectricload / (daily_vmt_total[day_iter] * 1000) * bev_vmt
         )
 

diff --git a/prereise/gather/demanddata/transportation_electrification/smart_charging_HDV.py b/prereise/gather/demanddata/transportation_electrification/smart_charging_HDV.py
@@ -265,12 +265,12 @@ def smart_charging(
         outputelectricload = sum(g2v_load)
 
         # create wrap-around indexing function
-        profile_window_indices = np.arange(day_iter * 24, day_iter * 24 + 72) % len(
+        trip_window_indices = np.arange(day_iter * 24, day_iter * 24 + 72) % len(
             model_year_profile
         )
 
         # MW
-        model_year_profile[profile_window_indices] += (
+        model_year_profile[trip_window_indices] += (
             outputelectricload / (daily_vmt_total[day_iter] * 1000) * bev_vmt
         )