Abstract:
Motivated by the increasing accessibility oftechnology, more and more spatial data are
being made digitally available. How to extract the valuable knowledge from these large
(spatial) databases is becoming increasingly important to businesses aswell It is essential
to be able to analyse and utilize these large datasets, convert them into useful knowledge,
and transmit them through GIS-enabled instruments and the Internet so that the key
information can be conveyed to business decision-makers effectively.
The main goal ofthis study is to develop a web based system which could be usedfor
identify seasonal consumption patterns of household electricity consumption in each
Grama Niladhari (GN) divisions across Sri Lanka. This tool can be developed to improve
meter reader efficiency and will be a valuable planning tool in CEB andSEA.
The study used econometric simulation for analysis key factors affecting household
electricity demand. While the system isfedwith the real time electiicity consumption at the
household level, it keeps on comparing with the maximum forecasted value that could
generate from the hybrid econometric model. Ifthe consumption exceed the demand the
system would help tofind the misused location which is visualised on the map.
It is recommended, in order to ensure effective & precise execution ofthe systemfurther
intervention should be initiated to track the real time electricity consumption in household
level. This also helps to decide the total production requiredfor the country in specific
time period in the calendar year. Therefore, it helps to preseme time, cost and the
resources used for the electricity production in the country which could be used for
economic development.
