ChargePredict

Elevator Pitch: ChargePredict leverages advanced AI to turn your existing smart meter into a crystal ball, predicting when you’ll charge your EV and helping energy providers balance the load more efficiently. Say goodbye to guessing games and hello to smarter, greener, and cheaper home charging.

Concept

Smart Meter-Based EV Charging Prediction for Homeowners

Objective

To enhance energy management and load scheduling in residential areas by accurately predicting home EV charging events.

Solution

Utilizing a transformer model with a self-attention mechanism to analyze historical smart meter data for accurate hour-ahead EV charging predictions.

Revenue Model

Subscription-based service for homeowners and partnerships with grid operators and EV manufacturers.

Target Market

EV owners, grid operators, and smart home service providers.

Expansion Plan

Initially target urban residential areas with high EV adoption rates, then expand to suburban and rural areas. Explore integration with smart home ecosystems.

Potential Challenges

High dependency on the accuracy and availability of smart meter data, customer privacy concerns.

Customer Problem

Inefficient energy management and increased operational costs due to unpredictable home EV charging events.

Regulatory and Ethical Issues

Compliance with data protection laws, ensuring customer data privacy and security.

Disruptiveness

Providing a novel solution for predicting home EV charging events, facilitating better energy management and grid stability without relying on direct home charging data.