Home energy multi-agent recommender framework with demand response and power limit consideration.
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Updated
Nov 18, 2022 - Jupyter Notebook
Home energy multi-agent recommender framework with demand response and power limit consideration.
A curated list of awesome projects applying reinforcement learning (RL) to building control.
This repo features a deep reinforcement learning Home Energy Management System for cost-effective heating. It optimizes energy consumption using advanced algorithms, outperforming an optimal linear programming solution.
Agentic AI Home Energy Management System: A Large Language Model Framework for Residential Load Scheduling
An electricity price integration for Home Assistant from Selectra. Allows turning devices on and off based on the price of electricity. Perfect for off-peak, demand-response and dynamic offers.
Home Assistant integration for HVAC energy optimization
Home Operations Center built in Rust. Collects real-time data from solar inverters, geothermal HVAC, electric vehicles, whole-home energy monitor, weather, and utility billing to drill into electrical use, cost, and efficiency
Local-first home energy management dashboard for solar homes without a battery.
Local monitoring dashboard for GoodWe EHB inverter + Lynx battery + Zappi EV. Modbus TCP → InfluxDB → React. No SEMS cloud dependency.
A toolkit for AlphaESS battery owners who want to understand their system's performance, optimize charge/discharge schedules, and compare electricity plans.
Agent-first Home Energy Management System for discovering, commissioning and coordinating energy devices.
LP-based home-energy planner. Optimises a Fox ESS battery + Daikin Altherma heat pump against Octopus Agile half-hourly tariffs via a PuLP MILP solver — with closed-loop replay, scenario robustness, and an MCP tool surface for OpenClaw / Claude.
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