From e6bf8449eb262e2b0765541e7d6e23cef0dff0f2 Mon Sep 17 00:00:00 2001
From: Oscar Dowson <odow@users.noreply.github.com>
Date: Sun, 14 May 2023 15:21:10 +1200
Subject: [PATCH] Prep for v1.5.0 (#614)

---
 Project.toml          |  2 +-
 docs/src/changelog.md | 19 +++++++++++++++++++
 2 files changed, 20 insertions(+), 1 deletion(-)

diff --git a/Project.toml b/Project.toml
index e44c6cde2..ff959a019 100644
--- a/Project.toml
+++ b/Project.toml
@@ -1,7 +1,7 @@
 name = "SDDP"
 uuid = "f4570300-c277-11e8-125c-4912f86ce65d"
 authors = ["Oscar Dowson <o.dowson@gmail.com>"]
-version = "1.4.0"
+version = "1.5.0"
 
 [deps]
 Distributed = "8ba89e20-285c-5b6f-9357-94700520ee1b"
diff --git a/docs/src/changelog.md b/docs/src/changelog.md
index e9164abed..70ee22e27 100644
--- a/docs/src/changelog.md
+++ b/docs/src/changelog.md
@@ -7,6 +7,25 @@ CurrentModule = SDDP
 The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/),
 and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).
 
+## v1.5.0 (May 14, 2023)
+
+### Added
+
+ - Added the ability to use a different model for the forward pass. This is a
+   novel feature that lets you train better policies when the model is
+   non-convex or does not have a well-defined dual. See the [Alternative forward models](@ref)
+   tutorial in which we train convex and non-convex formulations of the optimal
+   power flow problem. (#611)
+
+### Other
+
+ - Updated missing `changelog` entries (#608)
+ - Removed global variables (#610)
+ - Converted the `Options` struct to keyword arguments. This struct was a
+   private implementation detail, but the change is breaking if you developed an
+   extension to SDDP that touched these internals. (#612)
+ - Fixed some typos (#613)
+
 ## v1.4.0 (May 8, 2023)
 
 ### Added