diff --git a/src/model/formulations/DamKucRajAta2016/ramp.jl b/src/model/formulations/DamKucRajAta2016/ramp.jl
index 0d2b8ee..497958c 100644
--- a/src/model/formulations/DamKucRajAta2016/ramp.jl
+++ b/src/model/formulations/DamKucRajAta2016/ramp.jl
@@ -35,7 +35,7 @@ function _add_ramp_eqs!(
     RESERVES_WHEN_RAMP_DOWN = true
     RESERVES_WHEN_SHUT_DOWN = true
     is_initially_on = _is_initially_on(g)
-    
+
     # The following are the same for generator g across all time periods
     SU = g.startup_limit   # startup rate
     SD = g.shutdown_limit  # shutdown rate
diff --git a/src/model/formulations/Gar1962/status.jl b/src/model/formulations/Gar1962/status.jl
index ae34b02..1bec03e 100644
--- a/src/model/formulations/Gar1962/status.jl
+++ b/src/model/formulations/Gar1962/status.jl
@@ -72,7 +72,11 @@ function _add_status_vars!(
                 # In the first time period, force unit to switch on if was off before
                 # Otherwise, unit is on, and will never turn off, so will never need to turn on
                 fix(is_on[g.name, t], 1.0; force = true)
-                fix(switch_on[g.name, t], (t == 1 ? 1.0 - _is_initially_on(g) : 0.0); force = true)
+                fix(
+                    switch_on[g.name, t],
+                    (t == 1 ? 1.0 - _is_initially_on(g) : 0.0);
+                    force = true,
+                )
                 fix(switch_off[g.name, t], 0.0; force = true)
             elseif t == 1
                 if is_initially_on
@@ -89,7 +93,8 @@ function _add_status_vars!(
             # Add explicit constraint if !FIX_VARS
             if g.must_run[t]
                 is_on[g.name, t] = 1.0
-                switch_on[g.name, t] = (t == 1 ? 1.0 - _is_initially_on(g) : 0.0)
+                switch_on[g.name, t] =
+                    (t == 1 ? 1.0 - _is_initially_on(g) : 0.0)
                 switch_off[g.name, t] = 0.0
             elseif t == 1
                 if is_initially_on
diff --git a/src/model/formulations/base/unit.jl b/src/model/formulations/base/unit.jl
index 9015c9d..b7f7747 100644
--- a/src/model/formulations/base/unit.jl
+++ b/src/model/formulations/base/unit.jl
@@ -45,7 +45,12 @@ function _add_unit!(model::JuMP.Model, g::Unit, formulation::Formulation)
     )
     _add_startup_cost_eqs!(model, g, formulation.startup_costs)
     _add_shutdown_cost_eqs!(model, g)
-    _add_startup_shutdown_limit_eqs!(model, g, formulation.status_vars, formulation.prod_vars)
+    _add_startup_shutdown_limit_eqs!(
+        model,
+        g,
+        formulation.status_vars,
+        formulation.prod_vars,
+    )
     _add_status_eqs!(model, g, formulation.status_vars)
     return
 end
@@ -119,7 +124,7 @@ function _add_startup_shutdown_limit_eqs!(
     model::JuMP.Model,
     g::Unit,
     formulation_status_vars::Gar1962.StatusVars,
-    formulation_prod_vars::Gar1962.ProdVars
+    formulation_prod_vars::Gar1962.ProdVars,
 )::Nothing
     eq_shutdown_limit = _init(model, :eq_shutdown_limit)
     eq_startup_limit = _init(model, :eq_startup_limit)
@@ -145,7 +150,8 @@ function _add_startup_shutdown_limit_eqs!(
             # Generator producing too much to be turned off in the first time period
             # (can a binary variable have bounds x = 0?)
             if formulation_status_vars.fix_vars_via_constraint
-                eq_shutdown_limit[g.name, 0] = @constraint(model, model[:switch_off][g.name, 1] <= 0.0)
+                eq_shutdown_limit[g.name, 0] =
+                    @constraint(model, model[:switch_off][g.name, 1] <= 0.0)
             else
                 fix(model[:switch_off][g.name, 1], 0.0; force = true)
             end
@@ -265,16 +271,16 @@ function _add_min_uptime_downtime_eqs!(model::JuMP.Model, g::Unit)::Nothing
         # Equation (4) in Knueven et al. (2020)
         eq_min_uptime[g.name, t] = @constraint(
             model,
-            sum(switch_on[g.name, i] for i in (t-g.min_uptime+1):t if i >= 1)
-            <= is_on[g.name, t]
+            sum(switch_on[g.name, i] for i in (t-g.min_uptime+1):t if i >= 1) <= is_on[g.name, t]
         )
 
         # Minimum down-time
         # Equation (5) in Knueven et al. (2020)
         eq_min_downtime[g.name, t] = @constraint(
             model,
-            sum(switch_off[g.name, i] for i in (t-g.min_downtime+1):t if i >= 1)
-            <= 1 - is_on[g.name, t]
+            sum(
+                switch_off[g.name, i] for i in (t-g.min_downtime+1):t if i >= 1
+            ) <= 1 - is_on[g.name, t]
         )
 
         # Minimum up/down-time for initial periods