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0

$begingroup$

I've got $N = 5000$ individual time series representing hourly electricity demand from $N$ households. I also know whether each house has electric heating or not. Assume there are $N^1$ houses with electric heating and $N^0$ without.

The goal is to, for each house having electric heating, extract its electric heating demand.

So, for each house $h$ with electric heating, we assume its time series $vecx_h$ is the sum of a non-heating demand, $veca_h$, plus its electric heating demand, $vecb_h$.

I am interested in general methods to approach this problem of estimating $vecb_h$. i.e. using information from the $N^0$ time series to infer what $veca_h$ is, thereby permitting the extracting of $vecb_h$.

I know this is broad, but I'm mostly looking for references or pointers to start learning about this family of problems.

machine-learning time-series statistics

share|improve this question

edited Mar 19 at 10:31

bradS

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asked Mar 19 at 9:22

camwade6camwade6

11

New contributor

camwade6 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.

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add a comment | 

0

$begingroup$

I've got $N = 5000$ individual time series representing hourly electricity demand from $N$ households. I also know whether each house has electric heating or not. Assume there are $N^1$ houses with electric heating and $N^0$ without.

The goal is to, for each house having electric heating, extract its electric heating demand.

So, for each house $h$ with electric heating, we assume its time series $vecx_h$ is the sum of a non-heating demand, $veca_h$, plus its electric heating demand, $vecb_h$.

I am interested in general methods to approach this problem of estimating $vecb_h$. i.e. using information from the $N^0$ time series to infer what $veca_h$ is, thereby permitting the extracting of $vecb_h$.

I know this is broad, but I'm mostly looking for references or pointers to start learning about this family of problems.

machine-learning time-series statistics

share|improve this question

edited Mar 19 at 10:31

bradS

644112

asked Mar 19 at 9:22

camwade6camwade6

11

New contributor

camwade6 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.

$endgroup$

add a comment | 

$begingroup$

I've got $N = 5000$ individual time series representing hourly electricity demand from $N$ households. I also know whether each house has electric heating or not. Assume there are $N^1$ houses with electric heating and $N^0$ without.

The goal is to, for each house having electric heating, extract its electric heating demand.

So, for each house $h$ with electric heating, we assume its time series $vecx_h$ is the sum of a non-heating demand, $veca_h$, plus its electric heating demand, $vecb_h$.

I am interested in general methods to approach this problem of estimating $vecb_h$. i.e. using information from the $N^0$ time series to infer what $veca_h$ is, thereby permitting the extracting of $vecb_h$.

I know this is broad, but I'm mostly looking for references or pointers to start learning about this family of problems.

machine-learning time-series statistics

share|improve this question

edited Mar 19 at 10:31

bradS

644112

asked Mar 19 at 9:22

camwade6camwade6

11

New contributor

camwade6 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.

$endgroup$

share|improve this question

edited Mar 19 at 10:31

bradS

644112

asked Mar 19 at 9:22

camwade6camwade6

11

New contributor

camwade6 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.

share|improve this question

edited Mar 19 at 10:31

bradS

644112

asked Mar 19 at 9:22

camwade6camwade6

11

New contributor

camwade6 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.

edited Mar 19 at 10:31

bradS

644112

edited Mar 19 at 10:31

bradS

644112

asked Mar 19 at 9:22

camwade6camwade6

11

New contributor

camwade6 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.

asked Mar 19 at 9:22

camwade6camwade6

11