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Energy Optimization System (EOS) - Smart Home Energy Management
Open-source Energy Optimization System (EOS) for smart homes and buildings, optimizing usage of batteries, heat pumps, and devices to maximize energy efficiency and minimize costs.
Python
Added on 2025年5月13日1,232
Stars95
ForksPython
LanguageProject Introduction
Summary
The Energy Optimization System (EOS) is a software project designed to provide sophisticated energy management capabilities for residential and commercial settings. It integrates data streams, predictive analytics, and optimization algorithms to intelligently control energy-related devices.
Problem Solved
Managing diverse energy sources and consumers in a smart home or building is complex. The EOS solves this by providing a centralized, intelligent system to automatically optimize energy flow for maximum efficiency and cost savings.
Core Features
Predictive Modeling
Integrates predictive models for electricity pricing (planned) and load forecasting to inform optimization decisions.
Dynamic Optimization Engine
Dynamically adjusts the operation of connected devices (batteries, heat pumps, etc.) based on real-time data and forecasts.
Cost & Efficiency Optimization
Aims to reduce electricity bills and carbon footprint by intelligently managing energy flow.
Tech Stack
Python
Machine Learning (for forecasting)
Optimization Algorithms
MQTT (likely for device communication)
Database (likely for data storage)
Use Cases
The EOS can be applied in various scenarios where intelligent energy management is beneficial, including:
Residential Battery Storage Optimization
Details
Optimize charging and discharging of battery storage systems based on predicted electricity prices and household load, maximizing arbitrage opportunities and self-consumption.
User Value
Lower electricity bills and maximize the return on investment for battery systems.
Smart Appliance Scheduling
Details
Intelligently control heat pumps and other significant loads to operate during periods of low electricity price or high renewable energy availability.
User Value
Reduce heating/cooling costs and make better use of self-generated solar or wind power.
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