ampli/notes.md

Miscellaneous notes

The database

Accessed either via the SQL Manager program on the laptop, the psql terminal command (via the psconnect alias), or with the psycopg2 (psycopg2-binary) python library.

Have created an experimental table called public.coup_tall_april containing data from April 2017 in a “tall” format, using code from Jason:

CREATE TABLE public.coup_tall_April AS
SELECT  a.icp_id
     , a.read_date
     , c.period
     , sum(c.read_kwh) as kwh_tot
     , sum(case when a.content_code = 'UN' then c.read_kwh else 0 end) as kwh_un
     , sum(case when a.content_code in ('CN','EG') then c.read_kwh else 0 end) as kwh_cn
FROM    coup_prd.coupdatamaster a,
	unnest(a.read_array) WITH ORDINALITY c(read_kwh, period)
WHERE   a.read_date >= to_date('01/04/2017','dd/mm/yyyy')
 and   a.read_date <  to_date('01/05/2017','dd/mm/yyyy')
 and   a.content_code  ~ ('UN|CN|EG')
GROUP BY 1, 2, 3
ORDER BY 1, 2, 3;

This data looks like:

SELECT * FROM public.coup_tall_april limit 10;

icp_id | read_date | period | kwh_tot | kwh_un | kwh_cn ---------+------------+--------+---------+--------+-------- I000002 | 2017-04-01 | 1 | 0.123 | 0.123 | 0.0 I000002 | 2017-04-01 | 2 | 0.161 | 0.161 | 0.0 I000002 | 2017-04-01 | 3 | 0.118 | 0.118 | 0.0 I000002 | 2017-04-01 | 4 | 0.108 | 0.108 | 0.0 I000002 | 2017-04-01 | 5 | 0.125 | 0.125 | 0.0 I000002 | 2017-04-01 | 6 | 0.144 | 0.144 | 0.0 I000002 | 2017-04-01 | 7 | 0.11 | 0.11 | 0.0 I000002 | 2017-04-01 | 8 | 0.116 | 0.116 | 0.0 I000002 | 2017-04-01 | 9 | 0.197 | 0.197 | 0.0 I000002 | 2017-04-01 | 10 | 0.144 | 0.144 | 0.0

• icp_id is the ID of the ICP, which may be a home or business. This is a varchar(10), although it appears to only have 7 characters. The ID is not the real ID, but an anonymised value.
• read_date is the date, in this case in April 2017.
• kwh_cn is the demand in kwh that the company has some level of control over, e.g. by systems that turn off and on water heaters remotely. This ought to be relatively stable, although in many cases this will be 0.
• kwh_un is the uncontrolled demand, i.e. the rest.
• kwh_tot is the sum of the other kwh measurements for this half-hour