SolarPower ML

SolarPower ML moves beyond passive energy monitoring, focusing on predictive capabilities for electricity generation and consumption. Its core features include: • Predictive generation forecasting up to 96 hours • Satellite telemetry for atmospheric conditions • Battery scheduling optimization • Real-time energy flow visualization This platform leverages physics-informed computational methods and satellite data to model atmospheric opacity, providing highly accurate yield forecasts days in advance. It actively schedules battery operations to maximize self-consumption and secure optimal energy independence for prosumers. The system learns from specific site data, moving past generic averages to deliver forecasts tailored to an individual's solar setup. SolarPower ML offers high-resolution visibility into PV production, household load, and battery status, ensuring users are always aware of their energy landscape. Designed for prosumers and energy providers, it helps maximize return on investment for battery storage and enables efficient management of distributed energy resources. For energy providers, it supports the aggregation of thousands of nodes for peak shaving and grid stabilization, contributing to the stability of the larger energy infrastructure. The tool is ideal for prosumers seeking to optimize their solar energy usage, reduce reliance on the grid, and enhance their financial returns. It also serves energy providers needing robust tools for managing distributed generation and maintaining grid stability, preparing for a future where energy planning is forward-looking and precise.