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Machine learning for predicting thermal power consumption of the Mars Express Spacecraft
[article]
2019
arXiv
pre-print
The thermal subsystem of the Mars Express (MEX) spacecraft keeps the on-board equipment within its pre-defined operating temperatures range. To plan and optimize the scientific operations of MEX, its operators need to estimate in advance, as accurately as possible, the power consumption of the thermal subsystem. The remaining power can then be allocated for scientific purposes. We present a machine learning pipeline for efficiently constructing accurate predictive models for predicting the
arXiv:1809.00542v2
fatcat:ginqpmuxgbg3zmytaorrbn2alq