Inspiration
Electricity is not equally cheap or clean throughout the day as energy grid fluctuates in cost and carbon intensity every hour, yet most household appliances run without considering grid conditions. We want to help people reduce energy costs and emissions by proposing EnergyPilot to synchronize high-energy household loads with grid availability.
What it does
EnergyPilot is a system designed to align household electricity use with periods of high renewable supply and low market prices. It uses current sensors to track the power consumption of individual high-load appliances. The data is then sent using Wi-Fi to a database where a backend algorithm analyzes this data alongside real-time grid prices to determine the most cost-effective windows for flexible tasks. An AI agent acts as the system's interface, allowing the user to set requirements in plain text which the system then converts into specific scheduling parameters for the optimization engine.
How we plan to do it
The hardware utilizes ESP32 microcontrollers and non-invasive sensors to track appliance power draw in real time. This data is sent to a backend that cross-references electricity price APIs with grid renewable data to identify the cheapest and cleanest operating windows. A mathematical engine then generates an optimized schedule based on deadlines provided by the user through an AI interface.
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