ESA Open Invitation to Tender AO9704
Open Date: 11/07/2019
Closing Date: 23/08/2019 13:00:00

Status: ISSUED
Reference Nr.: 19.117.02
Prog. Ref.: GSTP Element 1 Dev
Budget Ref.: E/0904-611 – GSTP Element 1 Dev
Special Prov.: SI
Tender Type: C
Price Range: 200-500 KEURO
Products: Ground Segment / Mission Operations / Mission Control / Engineering Support (GS S/W dev. and maintenance, …)
Technology Domains: Space System Software / Advanced Software Technologies / Advanced Software Development Methods and Tools
Establishment: ESOC
Directorate: Directorate of Operations
Department: Mission Operations Department
Division: Advance Concepts and Mgmt Support Office
Contract Officer: Hurtz, Anne Maria
Industrial Policy Measure: N/A – Not apply
Last Update Date: 11/07/2019
Update Reason: Tender issue

Machine Learning for Predicting Spacecraft Subsytem Power Consumption.The objective of the activity is to enable maximum science return from spacecraft by providing predictive models for power consumption with high performance. Such models can be used within mission planning to facilitate more effective use of the power available to the spacecraft. A prototype solution will be deployed to beused in planning the operations of the MARS EXPRESS (MEX) Spacecraft. The method is intended to be generic and applicable to other missions.