# Home battery management system using deep learning

**URL:** <https://community.openems.io/t/home-battery-management-system-using-deep-learning/2571>\
**Category:** English Forum\
**Created:** [April 15, 2024, 2:56pm UTC](https://community.openems.io/t/home-battery-management-system-using-deep-learning/2571 "2024-04-15T14:56:02Z")\
**Posts on this page:** 1\
**Showing post:** 2

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**Author:** ![stefan.feilmeier](https://community.openems.io/user_avatar/community.openems.io/stefan.feilmeier/32/2585_2.png) [@stefan.feilmeier](https://community.openems.io/u/stefan.feilmeier)\
**Post date:** [April 21, 2024, 8:28pm UTC](https://community.openems.io/t/home-battery-management-system-using-deep-learning/2571/2 "2024-04-21T20:28:13Z")

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Hi @mounir,

I am working on similar topics for our FENECON product “FEMS App Dynamischer Stromtarif” / “FEMS App Time-of-Use Tariff”.

See this link for technical details: [FEMS App Dynamischer Stromtarif](https://community.openems.io/t/fems-app-dynamischer-stromtarif/2405)

The code is under heavy development and improvement, but it’s production ready and in use by hundreds of productive systems. It should be a solid basis for your project.

Regards,  
Stefan

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