Akkudoktor-EOS/EOS
This repository features an Energy Optimization System (EOS) that optimizes energy distribution, usage for batteries, heat pumps& household devices. It includes predictive models for electricity prices (planned), load forecasting& dynamic optimization to maximize energy efficiency & minimize costs. Founder Dr. Andreas Schmitz (YouTube @akkudoktor) observed · 2026-08-28
Health v2 · maintenance only
80/100
- Activity 99
- Release rhythm 63
- Longevity 66
Flags: no_license
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: 39
- age_days: 929
- days_rel: 169
- days_push: 8
- n_releases_24m: 4
Adoption not part of the score
1647 stars · 132 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
AkkudoktorEOS is a self-hosted Python application that simulates and optimizes home energy systems, generating optimized plans for photovoltaic production, battery storage, heat pumps, electric vehicles, and household loads based on forecasts and real-time electricity prices. It exposes an API and dashboard and is designed to integrate with home automation systems such as Home Assistant, NodeRED, and EVCC.
Use cases
- optimize home battery charging based on dynamic electricity prices
- maximize solar self-consumption from my PV system
- plan day-ahead energy usage with variable tariffs
- integrate energy optimization into Home Assistant
- forecast household load and PV production
- decide when to charge my EV from solar vs grid
- minimize grid energy costs for a heat pump household
When to choose
- you already run a home automation system (Home Assistant, NodeRED, EVCC) and want optimization plans fed into it
- you have a PV system with battery storage and face time-variable electricity prices
- you want a self-hosted, community-driven energy management optimizer with a dashboard and API
When to avoid
- you have no home automation system to integrate with, since EOS does not control devices itself
- you want a plug-and-play commercial solution without configuration effort
- you need to run on older ARM hardware (armv6/armv7), which requires manual dependency compilation
Facets
application · maturity active
simulation scheduling data-science api-framework self-hosted workflow-automation energy self-hosted data-science iot windows python self-hosted cloud energy-optimization photovoltaic battery-storage home-assistant smart-home electricity-prices load-forecasting heat-pump ev-charging energy-management-system optimization automation docker linux macos
3 sources
- readme: https://github.com/Akkudoktor-EOS/EOS · fetched 2026-08-28 · b07e96984feb
- homepage: https://akkudoktor.net/c/der-akkudoktor/eos/ · fetched 2026-08-29 · 9e76243c7c77
- site_page: https://akkudoktor.net/t/fehler-bei-der-installation-des-eos-homeassistant-add-ons/37500 · fetched 2026-08-29 · 9a5feee699d1
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| Akkudoktor-EOS/EOS | main | 80 |
For agents
markdown · JSON · MCP: product_card(name="Akkudoktor-EOS/EOS")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem