Page 69 - Contributed Paper Session (CPS) - Volume 3

CPS1946 Jittima D. et al.
2. Methodology
Power meter data under the study is supported by the MEA, an entity
supplying electricity for 3 provinces. Data frequency is on monthly basis dating
from January 2014 onwards. On average, there are more than 3.7 million active
meters in the observation, with 4.0 billion kilowatt - hours (kWh) capacity
usage per month. Evidentially, Bangkok, the capital city shares the largest
portion for meters and electricity consumption to carter energy demand from
business districts, public transportation systems and residential areas.
(Figure 1)

Since the data from 3.7 million meters in 3 provinces is the population
frame, yet the focal point of the analysis is to observe the OR of residential
buildings, so some rules need to be applied to filter out the unrelated. To
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replicate the fact, relationship between master-meter and sub-meter is
purposefully defined. Regarding this, it turns out that there are 3,591
condominium buildings comprising 605,744 units representing the sampling
data, as shown in Figure 2.

To ensure the appropriateness of obtained sampling derived from
counting electricity meters, number of sampling units is then compared with
number of new residential units disclosed by the Real Estate Information

Master-meter is defined as main meter of a building. Sub–meters, subsequently connected
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from Master-meter, are ones that attached to each individual residential units within the
building.
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