Hi
Have anybody found a way to identify energy consumers based on the signature they make when turning on?
So we don’t need a measuring device at each consumer, but only need one at the meter?
It’s described in this pdf
A fascinating subject, and an interesting paper.
The key raison d’etre for this learned work appears to be encapsulated in:
The information extracted from smart meter data enables utilities to identify the sociodemographic characteristics of electricity consumers and then offer them diversified services.
Using a consumer smart meter, and the half-hour energy consumption, it is readily possible to identify the consumer (customer) socio-demographics for
#1 Employment status
#2 Retirement status
#3 Have children
#4 Live alone
#5 Number of residents
#6 Number of bedroom
#7 Age
#8 Number home appliances
#9 Light bulb proportion
#10 Type of home
#11 Social class
#12 Number of entertainment appliances
#13 Cooking
#14 Age of house
#15 Rent or owned
Whilst this is highly relevant to any energy supply company, for myself I already know all these factors. Rather I am trying to avoid having my energy company (or worse) work this stuff out so that they can try and sell me stuff I don’t want.
What we actually need is a socio-demographic-confulizer, which is a program where you give the settings you want (employed, have five children, live with my partner, am 35, have 8 home appliances, all lightbulbs are low energy, live in my owned, 10 year old, detached property, social class B1, 4 entertainment appliances, and cook by gas) and HA with a solar storage battery, modulates the load demand to simulate the required socio-demographic.
Now that would be useful.