An apparatus (100, 800) for predictive data measurement for power management, comprising: one or more sensors (106, 108, 110) to perform data measurements that include values (A 1) representing events (204, 206, 208) within a process, wherein an event (204, 206, 208) comprises a measurable occurrence in the process; and a sensor management module coupled with the one or more sensors (106, 108, 110), configured to cause the one or more sensors (106, 108, 110) to perform the data measurements in a first data measurement mode, wherein the data measurements are performed at a fixed first sampling rate (R 1) in the first data measurement mode; wherein the sensor management module is further configured to: determine a pattern of the events (204, 206, 208), based on a portion of the data measurements collected by the one or more sensors (106, 108, 110) accumulated in the first data measurement mode over a time period (T 1), by identifying data points (A 1), and associated time information, corresponding to events in the time period (T 1), wherein the pattern is to indicate predicted appearance of events (204, 206, 208) in the process; cause, in response to determining the pattern of events, the one or more sensors (106, 108, 110) to perform the data measurements in a second data measurement mode, wherein data measurements in the second data measurement mode are performed at a second sampling rate (R 2) during periods of time (T 2) corresponding to the predicted appearances of events (204, 206, 208) according to the determined pattern, wherein the second sampling rate (R 2) is different than the first sampling rate (R 1); determine, from the data being measured in the second data measurement mode, that a match of the events (204, 206, 208) to the pattern is above a margin of error; and revert to the first data measurement mode of data measurements in response to the determine that a match of the events (204, 206, 208) to the pattern is above a margin of error. one or more sensors (106, 108, 110) to perform data measurements that include values (A 1) representing events (204, 206, 208) within a process, wherein an event (204, 206, 208) comprises a measurable occurrence in the process; and a sensor management module coupled with the one or more sensors (106, 108, 110), configured to cause the one or more sensors (106, 108, 110) to perform the data measurements in a first data measurement mode, wherein the data measurements are performed at a fixed first sampling rate (R 1) in the first data measurement mode; wherein the sensor management module is further configured to: determine a pattern of the events (204, 206, 208), based on a portion of the data measurements collected by the one or more sensors (106, 108, 110) accumulated in the first data measurement mode over a time period (T 1), by identifying data points (A 1), and associated time information, corresponding to events in the time period (T 1), wherein the pattern is to indicate predicted appearance of events (204, 206, 208) in the process; cause, in response to determining the pattern of events, the one or more sensors (106, 108, 110) to perform the data measurements in a second data measurement mode, wherein data measurements in the second data measurement mode are performed at a second sampling rate (R 2) during periods of time (T 2) corresponding to the predicted appearances of events (204, 206, 208) according to the determined pattern, wherein the second sampling rate (R 2) is different than the first sampling rate (R 1); determine, from the data being measured in the second data measurement mode, that a match of the events (204, 206, 208) to the pattern is above a margin of error; and revert to the first data measurement mode of data measurements in response to the determine that a match of the events (204, 206, 208) to the pattern is above a margin of error. determine a pattern of the events (204, 206, 208), based on a portion of the data measurements collected by the one or more sensors (106, 108, 110) accumulated in the first data measurement mode over a time period (T 1), by identifying data points (A 1), and associated time information, corresponding to events in the time period (T 1), wherein the pattern is to indicate predicted appearance of events (204, 206, 208) in the process; cause, in response to determining the pattern of events, the one or more sensors (106, 108, 110) to perform the data measurements in a second data measurement mode, wherein data measurements in the second data measurement mode are performed at a second sampling rate (R 2) during periods of time (T 2) corresponding to the predicted appearances of events (204, 206, 208) according to the determined pattern, wherein the second sampling rate (R 2) is different than the first sampling rate (R 1); determine, from the data being measured in the second data measurement mode, that a match of the events (204, 206, 208) to the pattern is above a margin of error; and revert to the first data measurement mode of data measurements in response to the determine that a match of the events (204, 206, 208) to the pattern is above a margin of error.