Our project partner SUPSI has published a new open-access paper in the journal Energy Informatics entitled “EV-Insights: open source framework for electric vehicle charging data processing, analysis, and forecasting.”
Electric vehicles represent a rapidly growing and highly flexible load in the residential sector, playing a crucial role in the future implementation of Demand Response programmes. However, the heterogeneity and fragmentation of EV charging datasets have historically limited large-scale analysis, forecasting and integration into flexibility-oriented energy services.
The EV-Insights framework directly addresses this challenge by providing a standardised, open-source pipeline for EV charging data ingestion, preprocessing, analysis, and forecasting. By reducing the effort required to harmonise datasets from different sources, the framework enables researchers, grid operators, and energy service providers to better understand charging behaviour and assess flexibility potential.
The framework was validated using seven real-world public datasets, covering more than 3 million EV charging sessions, demonstrating its scalability and applicability to real operational contexts. These capabilities are highly relevant for DR-RISE, where the integration of electromobility into residential demand response strategies is a key element for increasing system flexibility and supporting the energy transition.
By promoting open data practices and reusable analytical tools, this work contributes to DR-RISE’s mission of fostering innovation, transparency, and replicability in residential Demand Response solutions across Europe.
Read the full paper: https://link.springer.com/article/10.1186/s42162-025-00615-4