diff --git a/scripts/prepare_sector_network.py b/scripts/prepare_sector_network.py
index 3f8dd022..03fdbaf4 100755
--- a/scripts/prepare_sector_network.py
+++ b/scripts/prepare_sector_network.py
@@ -3628,7 +3628,10 @@ def set_temporal_aggregation(n, resolution, snapshot_weightings):
     """
     Aggregate time-varying data to the given snapshots.
     """
-    if "sn" in resolution.lower():
+    if not resolution:
+        logger.info("No temporal aggregation. Using native resolution.")
+        return n
+    elif "sn" in resolution.lower():
         # Representative snapshots are dealt with directly
         sn = int(resolution[:-2])
         logger.info("Use every %s snapshot as representative", sn)
diff --git a/scripts/time_aggregation.py b/scripts/time_aggregation.py
index 97bf180a..7ed69112 100644
--- a/scripts/time_aggregation.py
+++ b/scripts/time_aggregation.py
@@ -79,8 +79,8 @@ if __name__ == "__main__":
     resolution = snakemake.params.time_resolution
 
     # Representative snapshots
-    if isinstance(resolution, str) and "sn" in resolution.lower():
-        logger.info("Use representative snapshots")
+    if not resolution or isinstance(resolution, str) and "sn" in resolution.lower():
+        logger.info("Use representative snapshot or no aggregation at all")
         # Output an empty csv; this is taken care of in prepare_sector_network.py
         pd.DataFrame().to_csv(snakemake.output.snapshot_weightings)