diff --git a/tests/io/test_timeseries_import.py b/tests/io/test_timeseries_import.py
index c3e0662d3..e6050edc6 100644
--- a/tests/io/test_timeseries_import.py
+++ b/tests/io/test_timeseries_import.py
@@ -98,7 +98,9 @@ def test_load_time_series_demandlib(self):
         assert np.isclose(load.loc[timeindex[453], "cts"], 8.33507e-05)
         assert np.isclose(load.loc[timeindex[13], "residential"], 1.73151e-04)
         assert np.isclose(load.loc[timeindex[6328], "agricultural"], 1.01346e-04)
-        assert np.isclose(load.loc[timeindex[4325], "industrial"], 9.91768322919766e-05)
+        assert np.isclose(
+            load.loc[timeindex[4325], "industrial"], 9.876543209876541e-05
+        )
         assert np.isclose(load.sum()["cts"], 1.0)
         assert np.isclose(load.sum()["residential"], 1.0)
         assert np.isclose(load.sum()["agricultural"], 1.0)
diff --git a/tests/network/test_timeseries.py b/tests/network/test_timeseries.py
index c744af3fe..ed17d00e7 100644
--- a/tests/network/test_timeseries.py
+++ b/tests/network/test_timeseries.py
@@ -1565,9 +1565,9 @@ def test_predefined_conventional_loads_by_sector(self, caplog):
             index=index,
             columns=["cts", "residential", "agricultural", "industrial"],
             data=[
-                [0.000059711, 0.0000782190, 0.00006540, 0.000099176],
-                [0.000052590, 0.0000563428, 0.00006110, 0.000099176],
-                [0.000045927, 0.0000451043, 0.00005843, 0.000099176],
+                [0.000059711, 0.0000782190, 0.00006540, 0.000098765],
+                [0.000052590, 0.0000563428, 0.00006110, 0.000098765],
+                [0.000045927, 0.0000451043, 0.00005843, 0.000098765],
             ],
         )
 
@@ -1656,7 +1656,7 @@ def test_predefined_conventional_loads_by_sector(self, caplog):
             self.edisgo.timeseries.loads_active_power[
                 "Load_industrial_LVGrid_6_1"
             ].values,
-            [0.05752256272934643] * 3,
+            [0.05728395] * 3,
         ).all()
         assert np.isclose(
             self.edisgo.timeseries.loads_active_power.loc[