Power Tools for AI Engineers With Deadlines

Developed a reinforcement learning framework using Deep Q-Networks (DQN) to optimize scheduling in Wireless Sensor Networks (WSN), enhancing energy efficiency and state estimation through a custom simulation environment.

Smart Home Assistant integration for heat pump optimization based on electricity price and temperature.

Intelligent Power Management & Task Scheduling for Real-Time Embedded Systems | Reinforcement Learning meets DVFS for Maximum Efficiency

Software controller for efficient charging of electric vehicles using home solar power

AI-Powered Building Energy Management System with 91%+ ML Accuracy

Energy storage, PV(renewable) generation, Grid Optimization

AI based heat pump optimisation. Cheaper and greener heating

The project addresses energy inefficiency in data center cooling systems by developing a temperature-aware predictive model that optimizes chiller scheduling to reduce energy consumption while maintaining thermal safety

Home Assistant Energy Optimiser

This project uses machine learning to predict solar energy output based on historical weather and solar data. It includes data preprocessing, model training, and performance evaluation, providing insights to optimize energy production.

Strel connects electric vehicle owners with private charging point hosts. Find a charge anywhere, or monetize your own station. #GreenTech #EV". Ajoutez aussi le lien du site web ici s'il ne l'est pas déjà.

Optimize Thermoelectric Water Heaters (EWH) schedules based on electricity consumption data, ensuring user comfort while minimizing operational costs.

Customized environment utilizing the OpenAI Gym library for controlling battery energy storage systems in multi-microgrids

Multi-AI Agent Energy Management System with HILS simulation, Hybrid AI (ML+LLM), and MCP Runtime - Real-time visualization demo for smart grid optimization

Dynamic load cutoff optimization for Home Assistant using Nordpool 15-minute spot pricing

A Python-based home energy system simulator for optimizing solar, battery, and grid power flows using configurable strategies

Energy system simulation framework that optimizes generation portfolios using AI-based genetic algorithms. Models hourly power dispatch, battery management, and source failures over multi-year horizons to evaluate reliability and economic performance of diverse energy mixes.

⚡ AI-powered energy consumption prediction app. Flutter + FastAPI + ML. Reduce bills & carbon footprint . Smart energy optimization! 🌱

RESTful API for 'ewh-flex' project, developed within the scope of European Project ENERSHARE