Kepler Power Model
In Kepler, with respective to available measurements, we provide a podlevel power with a mix of two power modeling approaches:
Modeling Approach

Power Ratio Modeling: This modeling computes a finergrained power by the usage ratio over the total summation of power. This modeling is used by default when the total power is known.

Power Estimation Modeling: This modeling estimates a power by using usage metrics as input features of the trained model. This modeling can be used even if the power metric cannot be measured. The estimation can be done in three levels: Node total power (including fan, power supply, etc.), Node internal component powers (such as CPU, Memory), Pod power.
also see Get started with Kepler Model Server
Usage Scenario
Scenario  Node Total Power  Node Component Powers  Pod Power 

BM (x86 with power meter)  Measurement (e.g., ACPI)  Measurement (RAPL)  Power Ratio 
BM (x86 but no power meter)  Power Estimation  Measurement  Power Ratio 
BM (nonx86 with power meter)  Measurement  Power Estimation  Power Ratio 
BM (nonx86 and no power meter)  Power Estimation  Power Estimation  Power Ratio 
VM with node info and power passthrough from BM (x86 with power meter)  Measurement + VM Mapping  Measurement + VM Mapping  Power Ratio 
VM with node info and power passthrough from BM (x86 but no power meter)  Power Estimation  Measurement + VM Mapping  Power Ratio 
VM with node info and power passthrough from BM (nonx86 with power meter)  Measurement + VM Mapping  Power Estimation  Power Ratio 
VM with node info  Power Estimation  Power Estimation  Power Ratio 
Pure VM      Power Estimation 