Abstract:
A configuration engine traverses sequential levels of a decision tree in order to iteratively refine a configuration for a solar power system. At each level of the decision tree, the configuration engine determines the outcome of a design decision based on computing the result of a value function. The configuration engine explores configurations that optimize the value function result compared to other configurations, and may also discard less optimal configurations. When a current configuration is considered less optimal than a previous configuration generated at a previous level, the configuration engine discards the current configuration and re-traverses the decision tree starting with the previous configuration.
Abstract:
A computing device is equipped with a configuration engine and a solutions engine generates candidate solar power system configurations and corresponding pricing solutions, respectively. The computing device may be one of several computing devices located in a place of public accommodation, such as a retail store. Upon receiving a user selection of a candidate solar power system configuration and a pricing solution the a results engine of the computing device generates a results package for a solar power proposal that includes a signature-ready proposal that the user may execute on site.