Releases: intelligent-environments-lab/CityLearn
v1.6.0
Full Changelog: v1.5.0...v1.6.0
v1.5.0
Full Changelog: v1.4.4...v1.5.0
v1.4.4
Full Changelog: v1.4.3...v1.4.4
v1.4.3
Full Changelog: v1.4.2...v1.4.3
v1.4.2
Full Changelog: v1.4.1...v1.4.2
v1.4.1
What's Changed
- Space heating by @kingsleynweye in #9
- Bump lxml from 4.6.3 to 4.6.5 by @dependabot in #11
- Bump pillow from 8.4.0 to 9.0.0 by @dependabot in #13
- Bump ipython from 7.28.0 to 7.31.1 by @dependabot in #14
- Merging master branch with updates from CityLearn Challenge 2022 releases and other post-challenge releases by @kingsleynweye in #34
New Contributors
- @dependabot made their first contribution in #11
Full Changelog: v1.4.0...v1.4.1
v1.4.0
Full Changelog: v1.3.6...v1.4.0
v1.3.6
This release added a grid cost to the CityLearn Challenge 2022. The grid score is the average of a ramping and (1 - load factor) scores evaluated at the aggregated district net electricity consumption level. The purpose of adding this grid score is to encourage participants to seek a cooperative multi-agent solution in order to achieve grid-level objectives.
Full Changelog: v1.3.5...v1.3.6
v1.3.5
This release addresses 2 main issues:
- The long simulation time as a result of time series variables being recalculated every time step has been solved.2. Simulations, especially with RBCs are much noticeably faster to complete.
- There was a bug in the calculation of the battery energy balance that overestimated the energy balance during discharge.
- Other minor issues.
Credits to @ludwigbald for finding and proffering solutions to the issues.
Full Changelog: v1.3.4...v1.3.5
v1.3.4
CityLearn Challenge 2022 sixth release with bug fixes.
Full Changelog: v1.3.3...v1.3.4