diff --git a/docs/src/examples/Thermal_Generation_Dispatch_Example.jl b/docs/src/examples/Thermal_Generation_Dispatch_Example.jl
index 1fe273aa3..b5846c0d5 100644
--- a/docs/src/examples/Thermal_Generation_Dispatch_Example.jl
+++ b/docs/src/examples/Thermal_Generation_Dispatch_Example.jl
@@ -158,7 +158,9 @@ Plots.plot(
     d,
     data_results[1, :, 1:(I+1)];
     title = "Generation by Demand",
-    label = ["Thermal Generation 1" "Thermal Generation 2" "Thermal Generation 3" "Generation Deficit"],
+    label = [
+        "Thermal Generation 1" "Thermal Generation 2" "Thermal Generation 3" "Generation Deficit"
+    ],
     xlabel = "Demand [unit]",
     ylabel = "Generation [unit]",
 )
@@ -168,7 +170,9 @@ Plots.plot(
     d,
     data_results[1, :, (I+2):(2*(I+1))];
     title = "Sensitivity of Generation by Demand",
-    label = ["T. Gen. 1 Sensitivity" "T. Gen. 2 Sensitivity" "T. Gen. 3 Sensitivity" "Gen. Deficit Sensitivity"],
+    label = [
+        "T. Gen. 1 Sensitivity" "T. Gen. 2 Sensitivity" "T. Gen. 3 Sensitivity" "Gen. Deficit Sensitivity"
+    ],
     xlabel = "Demand [unit]",
     ylabel = "Sensitivity [-]",
 )
@@ -179,7 +183,9 @@ Plots.plot(
     d,
     data_results[2, :, 1:(I+1)];
     title = "Generation by Demand",
-    label = ["Thermal Generation 1" "Thermal Generation 2" "Thermal Generation 3" "Generation Deficit"],
+    label = [
+        "Thermal Generation 1" "Thermal Generation 2" "Thermal Generation 3" "Generation Deficit"
+    ],
     xlabel = "Demand [unit]",
     ylabel = "Generation [unit]",
 )
@@ -189,7 +195,9 @@ Plots.plot(
     d,
     data_results[2, :, (I+2):(2*(I+1))];
     title = "Sensitivity of Generation by Demand",
-    label = ["T. Gen. 1 Sensitivity" "T. Gen. 2 Sensitivity" "T. Gen. 3 Sensitivity" "Gen. Deficit Sensitivity"],
+    label = [
+        "T. Gen. 1 Sensitivity" "T. Gen. 2 Sensitivity" "T. Gen. 3 Sensitivity" "Gen. Deficit Sensitivity"
+    ],
     xlabel = "Demand [unit]",
     ylabel = "Sensitivity [-]",
 )
diff --git a/docs/src/examples/Thermal_Generation_Dispatch_Example_new.jl b/docs/src/examples/Thermal_Generation_Dispatch_Example_new.jl
index 391f3f2f3..0872c2bd9 100644
--- a/docs/src/examples/Thermal_Generation_Dispatch_Example_new.jl
+++ b/docs/src/examples/Thermal_Generation_Dispatch_Example_new.jl
@@ -154,7 +154,9 @@ Plots.plot(
     d,
     data_results[1, :, 1:(I+1)];
     title = "Generation by Demand",
-    label = ["Thermal Generation 1" "Thermal Generation 2" "Thermal Generation 3" "Generation Deficit"],
+    label = [
+        "Thermal Generation 1" "Thermal Generation 2" "Thermal Generation 3" "Generation Deficit"
+    ],
     xlabel = "Demand [unit]",
     ylabel = "Generation [unit]",
 )
@@ -164,7 +166,9 @@ Plots.plot(
     d,
     data_results[1, :, (I+2):(2*(I+1))];
     title = "Sensitivity of Generation by Demand",
-    label = ["T. Gen. 1 Sensitivity" "T. Gen. 2 Sensitivity" "T. Gen. 3 Sensitivity" "Gen. Deficit Sensitivity"],
+    label = [
+        "T. Gen. 1 Sensitivity" "T. Gen. 2 Sensitivity" "T. Gen. 3 Sensitivity" "Gen. Deficit Sensitivity"
+    ],
     xlabel = "Demand [unit]",
     ylabel = "Sensitivity [-]",
 )
@@ -175,7 +179,9 @@ Plots.plot(
     d,
     data_results[2, :, 1:(I+1)];
     title = "Generation by Demand",
-    label = ["Thermal Generation 1" "Thermal Generation 2" "Thermal Generation 3" "Generation Deficit"],
+    label = [
+        "Thermal Generation 1" "Thermal Generation 2" "Thermal Generation 3" "Generation Deficit"
+    ],
     xlabel = "Demand [unit]",
     ylabel = "Generation [unit]",
 )
@@ -185,7 +191,9 @@ Plots.plot(
     d,
     data_results[2, :, (I+2):(2*(I+1))];
     title = "Sensitivity of Generation by Demand",
-    label = ["T. Gen. 1 Sensitivity" "T. Gen. 2 Sensitivity" "T. Gen. 3 Sensitivity" "Gen. Deficit Sensitivity"],
+    label = [
+        "T. Gen. 1 Sensitivity" "T. Gen. 2 Sensitivity" "T. Gen. 3 Sensitivity" "Gen. Deficit Sensitivity"
+    ],
     xlabel = "Demand [unit]",
     ylabel = "Sensitivity [-]",
 )
diff --git a/docs/src/examples/autotuning-ridge.jl b/docs/src/examples/autotuning-ridge.jl
index 17619aef1..28cb6661f 100644
--- a/docs/src/examples/autotuning-ridge.jl
+++ b/docs/src/examples/autotuning-ridge.jl
@@ -86,10 +86,7 @@ for α in αs
     ŷ_test = X_test * ŵ
     ŷ_train = X_train * ŵ
     push!(mse_test, LinearAlgebra.norm(ŷ_test - y_test)^2 / (2 * Ntest * D))
-    push!(
-        mse_train,
-        LinearAlgebra.norm(ŷ_train - y_train)^2 / (2 * Ntrain * D),
-    )
+    push!(mse_train, LinearAlgebra.norm(ŷ_train - y_train)^2 / (2 * Ntrain * D))
 end
 
 # Visualize the Mean Score Error metric
diff --git a/docs/src/examples/autotuning-ridge_new.jl b/docs/src/examples/autotuning-ridge_new.jl
index b7fa24a76..87f05ca95 100644
--- a/docs/src/examples/autotuning-ridge_new.jl
+++ b/docs/src/examples/autotuning-ridge_new.jl
@@ -93,10 +93,7 @@ for α in αs
     ŷ_test = X_test * ŵ
     ŷ_train = X_train * ŵ
     push!(mse_test, LinearAlgebra.norm(ŷ_test - y_test)^2 / (2 * Ntest * D))
-    push!(
-        mse_train,
-        LinearAlgebra.norm(ŷ_train - y_train)^2 / (2 * Ntrain * D),
-    )
+    push!(mse_train, LinearAlgebra.norm(ŷ_train - y_train)^2 / (2 * Ntrain * D))
 end
 
 # Visualize the Mean Score Error metric
diff --git a/docs/src/examples/sensitivity-analysis-ridge.jl b/docs/src/examples/sensitivity-analysis-ridge.jl
index a4d3c0465..5604d0b69 100644
--- a/docs/src/examples/sensitivity-analysis-ridge.jl
+++ b/docs/src/examples/sensitivity-analysis-ridge.jl
@@ -140,13 +140,7 @@ p = Plots.scatter(
     label = "",
 )
 mi, ma = minimum(X), maximum(X)
-Plots.plot!(
-    p,
-    [mi, ma],
-    [mi * ŵ + b̂, ma * ŵ + b̂];
-    color = :blue,
-    label = "",
-)
+Plots.plot!(p, [mi, ma], [mi * ŵ + b̂, ma * ŵ + b̂]; color = :blue, label = "")
 Plots.title!("Regression slope sensitivity with respect to x")
 
 #
@@ -159,13 +153,7 @@ p = Plots.scatter(
     label = "",
 )
 mi, ma = minimum(X), maximum(X)
-Plots.plot!(
-    p,
-    [mi, ma],
-    [mi * ŵ + b̂, ma * ŵ + b̂];
-    color = :blue,
-    label = "",
-)
+Plots.plot!(p, [mi, ma], [mi * ŵ + b̂, ma * ŵ + b̂]; color = :blue, label = "")
 Plots.title!("Regression slope sensitivity with respect to y")
 
 # Note the points with less central `x` values induce a greater y sensitivity of the slope.
diff --git a/docs/src/examples/sensitivity-analysis-ridge_new.jl b/docs/src/examples/sensitivity-analysis-ridge_new.jl
index aa41f80a2..59d98fecb 100644
--- a/docs/src/examples/sensitivity-analysis-ridge_new.jl
+++ b/docs/src/examples/sensitivity-analysis-ridge_new.jl
@@ -140,13 +140,7 @@ p = Plots.scatter(
     label = "",
 )
 mi, ma = minimum(X), maximum(X)
-Plots.plot!(
-    p,
-    [mi, ma],
-    [mi * ŵ + b̂, ma * ŵ + b̂];
-    color = :blue,
-    label = "",
-)
+Plots.plot!(p, [mi, ma], [mi * ŵ + b̂, ma * ŵ + b̂]; color = :blue, label = "")
 Plots.title!("Regression slope sensitivity with respect to x")
 
 #
@@ -159,13 +153,7 @@ p = Plots.scatter(
     label = "",
 )
 mi, ma = minimum(X), maximum(X)
-Plots.plot!(
-    p,
-    [mi, ma],
-    [mi * ŵ + b̂, ma * ŵ + b̂];
-    color = :blue,
-    label = "",
-)
+Plots.plot!(p, [mi, ma], [mi * ŵ + b̂, ma * ŵ + b̂]; color = :blue, label = "")
 Plots.title!("Regression slope sensitivity with respect to y")
 
 # Note the points with less central `x` values induce a greater y sensitivity of the slope.