# tahanakabi/DRL-for-microgrid-energy-management

<https://repo.masters-masters.com/en/repos/tahanakabi/DRL-for-microgrid-energy-management>

[Home](https://repo.masters-masters.com/en) › [tahanakabi](https://repo.masters-masters.com/en/owners/tahanakabi) › [DRL-for-microgrid-energy-management](https://repo.masters-masters.com/en/repos/tahanakabi/DRL-for-microgrid-energy-management)

tahanakabi/DRL-for-microgrid-energy-management has 253 stars on GitHub. Its RepoMasters card: Alpha tier. We study the performance of various deep…

| Field | Value |
| --- | --- |
| Owner | [tahanakabi](https://repo.masters-masters.com/en/owners/tahanakabi) |
| Stars | 253 |
| Forks | 49 |
| Language | [HTML](https://repo.masters-masters.com/en/languages/html) |
| License | MIT |
| Created | 2020 |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [tahanakabi/DRL-for-microgrid-energy-management](https://github.com/tahanakabi/DRL-for-microgrid-energy-management) |

## Repository

We study the performance of various deep reinforcement learning algorithms for the problem of microgrid’s energy management system. We propose a novel microgrid model that consists of a wind turbine generator, an energy storage system, a population of thermostatically controlled loads, a population…

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.