The following blog tries to survey papers of Mobile Power Management.
Never mind, a killer survey: https://onlinelibrary.wiley.com/doi/full/10.1002/dac.3234.
Except HW Monsoon and SW power tutor:
battery historian 2.0(by google)
Application Processor(Multicore):online estimation of application-level power consumption. It has mean absolute percentage error (MAPE) of 5.1%
the difference between the measured data and the calculated power numbers are very small, with all differences less than 18%
it provides detailed performance metrics for an entire system.
26.8% error rate for various network packet loss rates power modeling accuracy within 12.8% error rate
stops RILD(LTE/GSM):https://ieeexplore.ieee.org/document/7980184/ can reduce 42%
Context Aware app profiling
a self-adaptive framework that haves three power profiles that react to battery level, status and context