diff --git a/src/power_grid_model_io/converters/pandapower_converter.py b/src/power_grid_model_io/converters/pandapower_converter.py
index 0f7aca75..a7892706 100644
--- a/src/power_grid_model_io/converters/pandapower_converter.py
+++ b/src/power_grid_model_io/converters/pandapower_converter.py
@@ -1160,7 +1160,7 @@ def _create_pgm_input_motors(self):
         cos_phi = self._get_pp_attr("motor", "cos_phi", expected_type="f8")
         valid = np.logical_and(np.not_equal(cos_phi, 0.0), np.isfinite(cos_phi))
         q_spec = np.sqrt(
-            np.power(np.divide(p_spec, cos_phi, where=valid), 2, where=valid, out=None) - p_spec**2,
+            np.power(np.divide(p_spec, cos_phi, where=valid, out=None), 2, where=valid, out=None) - p_spec**2,
             where=valid,
             out=None,
         )
@@ -1755,7 +1755,9 @@ def join_currents(table: str, bus_name: str, i_name: str) -> pd.DataFrame:
             pp_switches_output.loc[link_ids, "i_ka"] = links["i_from"] * 1e-3
         in_ka = self.pp_input_data["switch"]["in_ka"].values
         pp_switches_output["loading_percent"] = np.nan
-        pp_switches_output["loading_percent"] = np.divide(pp_switches_output["i_ka"], in_ka, where=in_ka != 0, out=None)
+        pp_switches_output["loading_percent"] = np.divide(
+            pp_switches_output["i_ka"].values, in_ka, where=in_ka != 0, out=None
+        )
 
         assert "res_switch" not in self.pp_output_data
         self.pp_output_data["res_switch"] = pp_switches_output
@@ -2436,7 +2438,10 @@ def get_individual_switch_states(component: pd.DataFrame, switches: pd.DataFrame
         )
 
         # no need to fill na because bool(NaN) == True
-        return pd.Series(switch_states.astype(bool, copy=False))
+        if Version(version("pandas")) >= Version("3.0.0"):
+            return pd.Series(switch_states.astype(bool))
+        else:
+            return pd.Series(switch_states.astype(bool, copy=False))
 
     def get_switch_states(self, pp_table: str) -> pd.DataFrame:
         """
diff --git a/tests/conftest.py b/tests/conftest.py
index 5db6a751..ca74b95f 100644
--- a/tests/conftest.py
+++ b/tests/conftest.py
@@ -3,8 +3,12 @@
 # SPDX-License-Identifier: MPL-2.0
 
 from contextlib import suppress
+from importlib.metadata import version
 
 import pandas as pd
+from packaging.version import Version
 
-with suppress(pd.errors.OptionError):
-    pd.set_option("future.no_silent_downcasting", True)
+if Version(version("pandas")) < Version("3.0.0"):
+    # Opt-in to Pandas 3 behavior for Pandas 2.x
+    with suppress(pd.errors.OptionError):
+        pd.set_option("future.no_silent_downcasting", True)
diff --git a/tests/unit/conftest.py b/tests/unit/conftest.py
index 52e59ce7..9531aa08 100644
--- a/tests/unit/conftest.py
+++ b/tests/unit/conftest.py
@@ -3,9 +3,12 @@
 # SPDX-License-Identifier: MPL-2.0
 
 from contextlib import suppress
+from importlib.metadata import version
 
 import pandas as pd
+from packaging.version import Version
 
-with suppress(pd.errors.OptionError):
-    # TODO(mgovers) We're ready for Pandas 3.x, but pandapower is not. Move to parent conftest when it is.
-    pd.set_option("mode.copy_on_write", True)
+if Version(version("pandas")) < Version("3.0.0"):
+    # Opt-in to Pandas 3 behavior for Pandas 2.x
+    with suppress(pd.errors.OptionError):
+        pd.set_option("mode.copy_on_write", True)
diff --git a/tests/unit/converters/test_tabular_converter.py b/tests/unit/converters/test_tabular_converter.py
index 80af60e5..efe624b4 100644
--- a/tests/unit/converters/test_tabular_converter.py
+++ b/tests/unit/converters/test_tabular_converter.py
@@ -278,7 +278,7 @@ def test_convert_col_def_to_attribute(
     with pytest.raises(
         ValueError,
         match=r"DataFrame for ComponentType.node.u_rated should contain a single column "
-        r"\(Index\(\['id_number', 'u_nom'\], dtype='object'\)\)",
+        r"\(Index\(\['id_number', 'u_nom'\], dtype='(str|object)'\)\)",
     ):
         converter._convert_col_def_to_attribute(
             data=tabular_data_no_units_no_substitutions,
diff --git a/tests/unit/data_types/test_tabular_data.py b/tests/unit/data_types/test_tabular_data.py
index 9e91f378..32d40bcf 100644
--- a/tests/unit/data_types/test_tabular_data.py
+++ b/tests/unit/data_types/test_tabular_data.py
@@ -224,7 +224,7 @@ def test_get_column__sanity_check(mock_unit_conversion: MagicMock, nodes_iso: pd
     mock_unit_conversion.return_value = nodes_iso["u_rated"]
 
     # Act / Assert
-    with pytest.raises(TypeError, match=r"u_rated.+unitless.+V"):
+    with pytest.raises(TypeError, match=r"u_rated[\s\S]*unitless[\s\S]*V"):
         data.get_column(table_name="nodes", column_name="u_rated")
 
 
diff --git a/tests/validation/conftest.py b/tests/validation/conftest.py
index 791d3b94..0844e6a6 100644
--- a/tests/validation/conftest.py
+++ b/tests/validation/conftest.py
@@ -3,12 +3,15 @@
 # SPDX-License-Identifier: MPL-2.0
 
 from contextlib import suppress
+from importlib.metadata import version
 
 import pandas as pd
+from packaging.version import Version
 
-with suppress(pd.errors.OptionError):
-    pd.set_option("future.no_silent_downcasting", True)
+if Version(version("pandas")) < Version("3.0.0"):
+    # Opt-in to Pandas 3 behavior for Pandas 2.x
+    with suppress(pd.errors.OptionError):
+        pd.set_option("future.no_silent_downcasting", True)
 
-with suppress(pd.errors.OptionError):
-    # TODO(mgovers) We're ready for Pandas 3.x, but pandapower is not. Move to parent conftest when it is.
-    pd.set_option("mode.copy_on_write", False)
+    with suppress(pd.errors.OptionError):
+        pd.set_option("mode.copy_on_write", False)