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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.
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.
