Abstract
In order to realize a low-carbon society, there is a need to promote energy conservation or de-carbonization measures at a city or a regional level. For this, a more detailed data on energy consumption is required which then can be used to develop a de-carbonization plan from the viewpoint of a city or region, encompassing demand control or power supply by multiple power supplying entities. However, in reality such statistics hardly exist in Indonesia due to data-gaps on energy consumption pattern. If these data-gaps can be addressed through technological innovation, there remains a big potential to reduce energy in various sectors. The objective of this study is thus to address the data-gaps on energy consumption in Indonesia through an innovative energy monitoring system and modelling. We piloted the monitoring system for selected units such as households, offices and commercial sector in Bogor city. Based on the real-time data obtained from the monitoring system, we developed an electricity consumption prediction model for each unit using the auto-regression exogeneous modeling. The results indicated that it was possible to determine the peak energy consumption which had high determination coefficient for each day. We conclude that the model will be able to make genuine contribution towards the de-carbonization plan and urban planning strategy development at a city and regional level.
