<p>A system and method is described for generating a power model of a circuit from a lower level description, such as Gate-level or RTL. In one aspect, simulation data is converted into a series of messages or transactions. Power is then determined on a per message or per transaction basis. In another aspect, an abstract power model is generated using a neural network. The neural network generates a system of weighted equations representing an accurate power model.</p>
