If I am to process time series of energy data (point estimate every half-hour interval), and fit it into the following formula for dimension reduction:
I was advised to use power, not energy. Yet power is the rate at which the energy is formed. I still don't see how other than to use the values as it is. If I convert it into hourly value, it would remain the same. Must I divide by 2 to indicate that they are half-hour interval values? Then isnt it the same not applying? Since you would be normalizing with the entire year's data.
Aside from the energy/power concepts, (or maybe relevant) I actually was a bit confused how to process it to sample the time period from 6.30 am to 10.30 am for instance. If it is a point estimate, how can it be in unit of kWh?
Should perceive that the reading at 6.30 am is the electricity consumed from 6 – 6.30 am or now that I think if it is 5.30 – 6.30 am…
May I ask for clarification from anyone with solid experience in this matter? Thanks
Best Answer
I gather the purpose of statistical analysis here is to define the rate of peak Power demand during daily and seasonal diurnal loads, so kWh would not apply as the duration of Peak power for different times of the day or week or weekend.
These peak durations of interest will be much less than a hour yet the grid must be maintained dynamically ( impedance of net sources) to supply this peak power on demand and stay within specified voltage tolerances.