Abstract: Analyzing energy consumption of one or more computer systems based on gathered telemetry data. Telemetry data is accessed from computer systems. The telemetry data includes parameters, each associated with a data type. The telemetry data is organized into data sets that each include at least one of the parameters. Each data set is associated with one computer system, and includes an energy consumption parameter indicative of an amount of energy used. The data sets are organized into data set clusters based on the at least one parameter included in each data set. For each cluster, each data set that satisfies an energy consumption threshold associated with further analyzing the data set to determine a cause of the energy amount used may be identified. The identified data sets are analyzed to find patterns associated with the at least one parameter that are likely cause of the amount of energy used.

Abstract: Determining a charge time or a discharge time for a battery of a device. One or more historical data items that correspond to historical usage of the device that is powered by the battery are identified. One or more current state data items that correspond to at least one current state of the device are also identified. One or more future intent data items that are associated with at least one future action that a user of the device may perform are also identified. A charge time or a discharge time for the battery is also determined. The determination is based on a combination of the one or more historical data items, the one or more current state data items, and the one or more future intent data items. Either the determined charge time for the battery or the determined discharge time for the battery is then outputted.