Timeline for Which atmospheric parameters will give accurate result of electricity consumption of an area by using multiple regression model?
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| Apr 25, 2022 at 19:43 | comment | added | Fred | I agree with @JeopardyTempest. If you have the data & the time compare temperature with apparent temperature, there may or may not be a difference. Apparent temperature considers temperature, humidity & wind speed. | |
| Apr 25, 2022 at 13:35 | comment | added | JeopardyTempest | Not sure what altitude ozone you're talking. High ozone at low levels is likely indicative of sinking air/high pressure... so another indirect one. But I think basically it all comes down to 1) climate control usage 2) lighting and 3) whether people are home/more active (though a lot of electricity usage can be industrial too, which could affect things). In the end, if it's easy, just toss them all in, why not. If you want the most likely candidates, I'd think 1, a combined magnitude of 14/15, 10, 6, and maybe 11/12 (if they show precipitation, I'm not familiar with the terms) in that order. | |
| Apr 25, 2022 at 13:31 | comment | added | JeopardyTempest | I would think the main influence in power consumption is temperature (for air conditioners/heaters/refrigeration). Cloudcover fraction could affect light usage. RH/U and V winds/specific humidity will be factors in how the temperatures feels so also likely factors. In theory people may sleep a bit more on rainy days, but also may do more things indoors, so that's an interesting one, so I'd think 11/12 are involved. There are other indirect connections (3/5/13/16 are factors in cloud coverage and rain), clouds affect temperature, etc. | |
| S Apr 25, 2022 at 13:18 | review | First questions | |||
| Apr 25, 2022 at 19:38 | |||||
| S Apr 25, 2022 at 13:18 | history | asked | Dvarkesh | CC BY-SA 4.0 |