# 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)

Repository: https://github.com/Akkudoktor-EOS/EOS
Canonical: https://ross.abutalabs.com/products/akkudoktor-eos-eos
Homepage: https://akkudoktor.net/c/der-akkudoktor/eos/
Language: Python
License: NOASSERTION
License Family: other
Last push: 2026-08-25T23:03:30+00:00

## Health v2 (maintenance only)
Score: 80/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 99, release rhythm 63, longevity 66
- inputs: {"age_days": 929, "days_push": 8, "days_rel": 169, "gap_med": 39, "n_releases_24m": 4}
- flags: no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1647, forks 132 (observed 2026-08-28T04:05:16.542194+00:00)

## What it is
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
- artifact type: application
- maturity: active
- function: simulation, scheduling, data-science, api-framework, self-hosted, workflow-automation
- domain: energy, self-hosted, data-science, iot
- platform: windows, python, self-hosted, cloud
- tags: 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

## Member repositories
- Akkudoktor-EOS/EOS (main) score 80

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:16.542194+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T03:45:16.199490+00:00, confidence not recorded.
  - readme: https://github.com/Akkudoktor-EOS/EOS (fetched 2026-08-28T04:05:16.542194+00:00, sha b07e96984feb)
  - homepage: https://akkudoktor.net/c/der-akkudoktor/eos/ (fetched 2026-08-29T11:18:31.606729+00:00, sha 9e76243c7c77)
  - site_page: https://akkudoktor.net/t/fehler-bei-der-installation-des-eos-homeassistant-add-ons/37500 (fetched 2026-08-29T11:18:31.615672+00:00, sha 9a5feee699d1)
- Data as of 2026-08-30T08:39:29.467469+00:00.