Create hourly electrical demand data

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SUMMARY

Estimating hourly electricity demand data from daily peak load and total daily consumption is fundamentally flawed, as these metrics lack the necessary granularity. Integral quantities, such as daily averages or peak loads, do not retain the detailed information required to reconstruct hourly data. The only reliable method to obtain accurate hourly demand data is through direct measurement or by consulting industry research and statistics from sources like EPRI.

PREREQUISITES
  • Understanding of electrical load concepts, including peak load and total consumption.
  • Familiarity with statistical estimation techniques.
  • Knowledge of data measurement methodologies in electrical engineering.
  • Access to industry research resources, particularly from organizations like EPRI.
NEXT STEPS
  • Research statistical techniques for estimating time-series data.
  • Explore methods for direct measurement of electrical demand.
  • Investigate industry reports on electrical consumption patterns.
  • Learn about the impact of environmental factors on electricity usage, such as climate and occupancy.
USEFUL FOR

Electrical engineers, energy analysts, and anyone involved in demand forecasting or energy management will benefit from this discussion.

A87
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Hi


Is there a way to create/estimate the hourly electricity demand data of a system by just knowing the daily peak load (and at what time this happens)and the total electrical consumption per day?

A good estimation based on a statistical technique sounds like a good start!


Cheers
 
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A87 said:
HiIs there a way to create/estimate the hourly electricity demand data of a system by just knowing the daily peak load (and at what time this happens)and the total electrical consumption per day?

A good estimation based on a statistical technique sounds like a good start!Cheers

Short answer: no. These are integral or point quantities that by definition have thrown away most of the information of the original data set. You can't make information out of nothing, which is what getting hourly data from a single integral point (an average), or hour (peak), is really trying to do. Akin to trying to go faster than light - the universe won't allow it.

You might be able to "guess" that there is some type of daily cycle but it would really depend on specifics of consumption. You might guess the peak would be in the mid afternoon (at least during the summer in a hotter climate) because of A/C but in a winter climate, that might instead be at a very different time of day. Also depends on if the home/building is occupied at certain hours and by how many.

The only sure way is to measure it.

Or look for industry research and statistics and presume them as typical. http://my.epri.com/" are the logical starting points for this but it probably won't be for free. But they both have a handful of free documents that might help.
 
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