Summaries - Office of Research & Innovation
Back Incorporation of Predictive Analytics Learning into Replenishment At Sea Planner (RASP)
|Division||Graduate School of Operational & Information Sciences|
Kline, Jeffery E.
Carlyle, William M.
|Sponsor||Office of Naval Research (Navy)|
|Summary||The FY21 NPS effort will be to modify RASP software to enable data receipt from current ship fuel levels and projections based on past data usage for mission, location, and time of year (climatology effects). Additionally, exploration will be made to understand data availability to support traditional predictive analytics and machine learning techniques in supplying RASP good fuel predictions for its solver.|
|Publications||Publications, theses (not shown) and data repositories will be added to the portal record when information is available in FAIRS and brought back to the portal|
|Data||Publications, theses (not shown) and data repositories will be added to the portal record when information is available in FAIRS and brought back to the portal|