Abstract: Embodiments of the disclosure includes operating a power grid, including: generating, by a power management system of the power grid, a power grid resource allocation profile indicative of an operation of the power grid constrained by operational information of the power grid; generating a difference between a value of upper bounds from a plurality of obtained convergence paths and a value of lower bounds from the obtained convergence paths, the obtained convergence paths being based on a plurality of different initial conditions for the generated power grid resource allocation profile; and generating a resource allocation schedule for power grid resources operating within the power grid if the generated difference is smaller than a pre-determined threshold, the resource allocation schedule corresponding to a convergence path associated with the value of the upper bounds, the resource allocation schedule being configured to be received at the power grid resources.

Abstract: Embodiments of the disclosure includes operating a power grid, including: generating, by a power management system of the power grid, a power grid resource allocation profile indicative of an operation of the power grid constrained by operational information of the power grid; generating a difference between a value of upper bounds from a plurality of obtained convergence paths and a value of lower bounds from the obtained convergence paths, the obtained convergence paths being based on a plurality of different initial conditions for the generated power grid resource allocation profile; and generating a resource allocation schedule for power grid resources operating within the power grid if the generated difference is smaller than a pre-determined threshold, the resource allocation schedule corresponding to a convergence path associated with the value of the upper bounds, the resource allocation schedule being configured to be received at the power grid resources.

Abstract: Embodiments of the disclosure includes operating a power grid, including: generating, by a power management system of the power grid, a power grid resource allocation profile indicative of an operation of the power grid constrained by operational information of the power grid; generating a difference between a value of upper bounds from a plurality of obtained convergence paths and a value of lower bounds from the obtained convergence paths, the obtained convergence paths being based on a plurality of different initial conditions for the generated power grid resource allocation profile; and generating a resource allocation schedule for power grid resources operating within the power grid if the generated difference is smaller than a pre-determined threshold, the resource allocation schedule corresponding to a convergence path associated with the value of the upper bounds, the resource allocation schedule being configured to be received at the power grid resources.

Abstract: A method is described for collecting inference execution events from forward-chaining business rule engines and constructing causality network graphs for visual presentation to an end user. Using the causality network graph, the user may navigate logic paths leading to particular conclusions or actions.

Abstract: The system integrates a business rule engine with an engineering application that performs one or more predetermine functions relating to the monitoring, analyzing or controlling of a physical system. Rule processing requests are transmitted from the engineering application to a rule based service which manages the data retrieval, data insertion, rule engine invocation activities in a two pass design so as to optimize the rule processing performance for online system monitoring and control.