Microsoft Technology Licensing, LLC

Stanislaw Wiktor Swierc

Hubert Van Hoof

Alina Mihaela Stanciu

Om Prakash Ravi

Supradha Sankaran

Conor Edmund Kelly

Hitesh Shyamlal Sajnani

A technique is described herein for using computing technology to intelligently manage the consumption of a resource in a physical environment and/or controlling the physical environment in other ways. The technique maintains environment information that describes entities within the physical environment, together with the relationships among the entities. The technique leverages the environment information and collected sensor data to generate forecast data using one or more machine-trained models. The technique then leverages the environment information, sensor data, and forecast data to generate a control plan. The control plan provides a strategy for controlling the physical environment that satisfies a specified optimization objective. In one use case, the technique contributes to the efficient consumption of power provided by a distribution system by avoiding consumption of power in periods in which the distribution system is expected to experience high loads.

Controlling devices using a rich representation of their environment

A computing device is provided, including a non-volatile storage device and a processor configured to execute a distributed version control system. The processor may, via the distributed version control system, receive a pull request to apply a first set of one or more source code files to a project database. In response to receiving the pull request, the processor may identify a second set of one or more source code files based at least in part on a recommendation ruleset including one or more association rules identified for a plurality of training pull requests applied to a training project database. The recommendation ruleset may be determined based at least in part on a respective last iteration of each training pull request. The processor may output a source code file recommendation notification including an indication of each source code file of the second set.

Source code file recommendation notification

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Stanislaw Wiktor Swierc