Overcoming energy equipements

machine_learning
data_science

#1

I am trying to detect equipments which causes overcoming energy.
I have a list of equipments : freezer, tv, washing machine and a dryer.
For each machine I have recorded the activation time for every timestamp of one hour. For example :

     8h-9h    9h-10h    10h-11h    11h-12h
freezer 100%      100%       100%       100%
tv      30%        0%         0%         0%
washing machine 0%    0%      100%      30%
dryer 0%              0%     100%      90% 

And also, I recorder the mean of activation time of each equipement during the day :

freezer                100%
tv                     8%
washing machine        33%
dryer                  50%

For each timestamp i denoted if is there an overcomoing energy.

 8h-9h    9h-10h    10h-11h    11h-12h
  n         n         n          y(20%)

I am looking for an itelligent way ti determine which equipements causes the overcoming energy.

thank you


Diagnosis analytics for energy equipments
#2

Would you care to elaborate the meaning of “overcoming energy”?

Regardless, I’d begin plotting a correlation matrix:

The above plot allows you to easily detect linear relationships between variables. For nonlinear relationships, training a decision tree and plotting its graph is a good place to start.