v0.5.0

• All study numerical values can be set for all scenario and/or all timestep
• improve documentation with tutorial and new style

v0.4.0

In this release:

• multi-energies: Hadar can handle multi-network study. Each network has it own energy, user can set hd.Converter element to link networks together;
• storage: Hadar provides hd.Storage element

v0.3.1

• Homogenize API by creating a Fluent API Selector for optimizer, analyzer and viewer.
• Refactor Remote Optimizer to be asynchrone and setup a feedback to user during queuing

v0.3.0

• Add complet sphinx documentation to understand architecture and mathematics optimization
• Add lot of graphics to analyze result

v0.2.0

New Hadar has main improvments:

• Now hadar can be used like numpy or else like import hadar as hdthen any object can be called by hd.* like optimizer for exampleoptimizer = hd.LPOptimizer()
• Hadar has also a complet workflow framework to generate timeline for preprocessing

v0.1.2

v0.1.2

0.1.0

First Release !