Methods and systems for machine-learning for prediction of grid carbon emissions

This invention describes a way to figure out how much carbon pollution is generated by the electricity you use, especially when power comes from multiple interconnected grids. It works by collecting data on power generation from different parts of the grid, then uses a machine learning process to adjust mathematical models based on past data or statistical methods. Finally, it calculates and shows the carbon emissions per unit of electricity consumed.

Why it matters: Since 2023, advancements in machine learning model efficiency and distributed computing infrastructure have made processing large volumes of real-time grid data more practical. This could simplify the deployment and scaling of the complex predictive models described.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedSoftware logic, data integration, machine learning models

3 AI reinvention directions for this patent

See all three

AI gives you a few directions you could take this. Pick one, and we check whether your version is different enough to patent, then write the filing.

Reinvent this with AI

Where this one came from

Every morning we go through millions of abandoned patents and pick out 15 worth your time. This was one of today’s.

This one

+10