How To Power CubeSats Using Deep Learning

Deciding how to power a CubeSat is one of the greatest challenges when designing a modular spacecraft. Tradeoffs in solar panel size, battery size, and power consumption levels are all key considerations when selecting parts and mission architecture. To help with those design choices, a paper from researchers in Ethiopia and Korea describes a new machine-learning algorithm that helps CubeSat designers optimize their power consumption, ensuring these little satellites have a better chance of fulfilling their purpose.