sohaibdaoudi/V2G_TS_Project

The project is a small-scale prototype or academic experiment, as evidenced by its 3 stars, 0 forks, and lack of recent activity (velocity 0.0). While V2G (Vehicle-to-Grid) is a complex and high-value domain, this repository lacks the infrastructure-grade integrations (e.g., ISO 15118 for EV communication or OpenADR for grid signals) required for real-world deployment. The defensibility is low because the core logic—optimizing charging cycles based on price or load forecasting—is a standard application of time-series machine learning. Frontier labs like OpenAI or Google are unlikely to build specific V2G software, but the project faces extreme competition from established energy-tech players like Tesla (Autobidder), Kaluza, and Nuvve, as well as Linux Foundation Energy projects like FlexMeasures. Without a hardware partnership or massive dataset, it remains a reproducible reference implementation rather than a defensible product.