diff --git a/pvnet_summation/models/base_model.py b/pvnet_summation/models/base_model.py
index 758dc65..4ffe49c 100644
--- a/pvnet_summation/models/base_model.py
+++ b/pvnet_summation/models/base_model.py
@@ -16,7 +16,6 @@
 
 from pvnet_summation.utils import plot_forecasts
 
-
 logger = logging.getLogger(__name__)
 
 activities = [torch.profiler.ProfilerActivity.CPU]
@@ -52,7 +51,6 @@ def __init__(
         )
         self.pvnet_model.requires_grad_(False)
 
-
         self._optimizer = optimizer
 
         # Model must have lr to allow tuning
diff --git a/pvnet_summation/models/model.py b/pvnet_summation/models/model.py
index 0c9c953..5256be8 100644
--- a/pvnet_summation/models/model.py
+++ b/pvnet_summation/models/model.py
@@ -110,4 +110,4 @@ def forward(self, x):
 
             out = F.leaky_relu(gsp_sum + out)
 
-        return out
\ No newline at end of file
+        return out
diff --git a/pvnet_summation/utils.py b/pvnet_summation/utils.py
index 91214de..9f7d179 100644
--- a/pvnet_summation/utils.py
+++ b/pvnet_summation/utils.py
@@ -24,7 +24,7 @@ def plot_forecasts(y, y_hat, times, batch_idx=None, quantiles=None, y_sum=None):
             continue
 
         ax.plot(times_utc[i], y[i], marker=".", color="k", label=r"$y$")
-        
+
         if y_sum is not None:
             ax.plot(
                 times_utc[i], y_sum[i], marker=".", linestyle="--", color="k", label=r"$y_{sum}$"