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CPS1946 Jittima D. et al.
the situation slightly improved from 2017. Judging from “time-to-go” aspect,
time interval was reduced from 18 to 17 months. The situation implies current
demand could match with additional supply in that period, OR thus improved.
However, there are certain locations that are not consistent with overall
findings due to factor- or location-specific reasons.

4. Conclusion
In the study, micro-data was derived to quantify demand for residential
units in high-rise condominiums. To pursue the analysis, occupancy rate (OR)
is constructed by using data from individual electricity meters. This source of
data is regarded as new and unconventional for analytics. Findings discover,
from 2014-18, the OR for Bangkok, Nonthaburi and Samut Prakarn had stood
over 70 percent. This suggests that demand for residential units in the
territories has remained robust. When taking aging aspect of buildings into
account, the OR of residential units, which power meters registered prior to
2012, exhibits a mild declining trend, nonetheless, the ratio has been gyrating
around 80-85 percent level. In relation to demand for new residence (proxy by
using data from meters registered during 2013-17), the observed OR detects
consistent uprise for more recently built units.
Besides, some property sector indicators such as “unsold units” and “time-
to-go” variables are taken into consideration to enhance finding results more
comprehensive. Analytics discover that 3 observed indicators have moved
hand-in-hand with minor discrepancies in some locations. The OR also reflects
similar direction. As illustrated above, the adoption of electricity meter data
can be employed to assess occupancy rate (OR) of residential units which
factually can be regarded as an additional useful economic indicator. It,
however, should be detected along with other related barometers, namely
number of new projects launched as well as units sold which will allow
comprehending property market condition from up- to downstream. This

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