Innovation in Action

From smart meters to digital cities, we leverage AI and data science to solve complex urban challenges and build a sustainable future.

Incremental Learning Model for Smart Meters (Mycroft Mind)

Incremental Learning Model for Smart Meters (Mycroft Mind)

Daniel Bretsko Piotr Walas Devashish Khulbe Stanislav Sobolevsky

The project is done for Mycroft Mind company, which specializes in energy intelligence solutions. We're developing a novel tree-based algorithm for energy demand forecasting that can learn in an online/incremental fashion (without storing historical data on the device), which is optimized for working on edge devices such as smart meters. We've also developed a specialized ensemble using our model as a base learner, providing even better forecasting accuracy while still keeping computational costs comparably low.

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