摘要 |
A power estimation method includes acquiring power values consumed by a power estimation target apparatus, each of the power values corresponding to a plurality of parameters; calculating magnitude of variation in the power values in relation to a mean thereof; creating, when the magnitude of variation is less than a first value, a first power prediction formula approximating power consumption of the power estimation target apparatus by a constant which is the mean; calculating a degree of influence of each of the parameters on the power consumption when the magnitude of variation is the first value or more; creating, by reducing the number of the parameters based on the degree of influence, a second power prediction formula approximating the power consumption by a linear equation; and estimating the power consumption using one of the first and the second power prediction formulae. |
主权项 |
1. A power estimation method comprising:
acquiring, by a first processor, a plurality of power values consumed by a power estimation target apparatus, each of the power values corresponding to a plurality of parameters; calculating, by the first processor, magnitude of variation in the acquired power values in relation to a mean of the power values; creating, by the first processor, a first power prediction formula when the magnitude of variation is less than a first value, the first power prediction formula approximating power consumption of the power estimation target apparatus by a constant which is the mean; calculating, by the first processor, a degree of influence of each of the parameters on the power consumption when the magnitude of variation is more than or equal to the first value; creating, by the first processor, a second power prediction formula by reducing number of the parameters based on the degree of influence, the second power prediction formula approximating the power consumption by a linear equation; and estimating, by the first processor, the power consumption using one of the first power prediction formula and the second power prediction formula. |