Abstract: Techniques for using machine learning to predict the energy use of mobile actors such as a moving person or a mobile machine, as well as technologies for using such predictions. Energy use prediction for a moving person or a mobile machine can include an energy use prediction for a person or machine moving from one place to another regardless of the complexity of the corresponding route and the complexity of other variables involved. Mobile machines can include any type of mobile machine for any industrial or consumer use. Mobile machines can include watercraft, aircraft, terrestrial vehicles, automobiles, or robots, for example.

Abstract: Techniques for using machine learning to generate and use synthetic drive cycles of mobile actors such as a moving person or a mobile machine, as well as technologies for using machine learning to generate and use synthetic duty cycles of mobile machines. Synthetic drive or duty cycle generation and use can be for a person or machine moving from one place to another regardless of the complexity of the corresponding route and the complexity of other variables involved. Mobile machines can include any type of mobile machine for any industrial or consumer use. Mobile machines can include watercraft, aircraft, terrestrial vehicles, automobiles, or robots, for example.