Você pode converter avg_aa bigint ou double precision. Primeiro, subtraia o id e o nome do campo de nome e, em seguida, calcule a média por id e data.
-- PostgreSQL(v11)
WITH cte_t AS (
SELECT LEFT(name, 1) id
, RIGHT(name, POSITION('.' IN REVERSE(name)) - 1) t_name
, value
, time_stamp
FROM test
)
SELECT id
, time_stamp :: DATE "date"
, AVG(CASE WHEN t_name = 'aa' THEN value END) :: BIGINT "avg(aa)"
, AVG(CASE WHEN t_name = 'bb' THEN value END) :: BIGINT "avg(bb)"
, AVG(CASE WHEN t_name = 'cc' THEN value END) :: BIGINT "avg(cc)"
FROM cte_t
GROUP BY id, time_stamp :: DATE
ORDER BY "date", id;
Verifique no URL https://dbfiddle.uk/?rdbms=postgres_11&fiddle=8113ce4fd759
Use precisão dupla na coluna avg
-- PostgreSQL(v11)
WITH cte_t AS (
SELECT LEFT(name, 1) id
, RIGHT(name, POSITION('.' IN REVERSE(name)) - 1) t_name
, value
, time_stamp
FROM test
)
SELECT id
, time_stamp :: DATE "date"
, AVG(CASE WHEN t_name = 'aa' THEN value END) :: DOUBLE PRECISION "avg(aa)"
, AVG(CASE WHEN t_name = 'bb' THEN value END) :: DOUBLE PRECISION "avg(bb)"
, AVG(CASE WHEN t_name = 'cc' THEN value END) :: DOUBLE PRECISION "avg(cc)"
FROM cte_t
GROUP BY id, time_stamp :: DATE
ORDER BY "date", id;
Verifique no URL https://dbfiddle.uk/?rdbms=postgres_11&fiddle=c70fe828008b13f7eb3feefc>