ABSTRACT
Data analytics and decision making in civilian electric power and energy applications are usually tied to economic or other derived metrics. Data analytics has been an integral component toward implementing operational energy policy. Additionally, subsequent data collection and analysis allows for benchmarking results, evaluation of goals and progress, and provides input toward future projects. In military applications, the metrics are not as distinct or clear-cut, as costs and benefits associated with military operations are not as straightforward. The use of energy in military applications is referred to as Operational Energy (OE), which is specifically defined as "the energy required for training, moving and sustaining military forces and weapons platforms for military operations". OE can be segmented into three distinctive categories of which the electric power systems, energy supply requirements, and data analytics have dissimilarities: Platform power systems, Installation power systems, Tactical power systems.
