ZSE and KInIT have started a research collaboration focused on disaggregation of customer consumption by identification of individual appliances’ profiles. Statistical and artificial intelligence methods will be used for processing the data from smart meters.
The aim is to increase the level of customer knowledge about their energy consumption through disaggregation and visualization. This will lead to better engagement of customers in utilizing energy and to possible savings in customers’ households. Currently used methods are successful in solving disaggregation tasks on high resolution data. The challenge is to design a novel AI method that can achieve adequate precision on available lower resolution smart meter data.
Anna Bou Ezzeddine