Multiple Uses of Big Data for Improved Knowledge on Energy Consumers: The Case of Portugal

Big data is currently an important resource across all economic sectors. In the energy sector, big data can provide relevant information for increasing systems reliability and functionality, towards the modernization of cities. Due to its considerable consumption levels, buildings are key to achieve the goals of energy efficiency and sustainability, whilst guaranteeing the wellbeing of inhabitants. In Portugal, where there is a significant number of energy vulnerable consumers, big data on energy demand in buildings is mainly collected through smart meters and energy performance certificates. This paper presents a review of the main studies that have leveraged demand-side big data to increase knowledge and understanding of energy consumers in Portugal.
The studies provide valuable insights on building stock characterization and energy performance, different energy consumption drivers, patterns and profiles, and energy demand and consumption assessment and the forecasting at different scales. Whilst there is still potential to be explored in the future, especially regarding vulnerable consumers analysis, the constraints related to data availability and protection still need to be addressed.