Abstract
The shift toward decentralised energy generation, driven by the rapid expansion of renewable energy sources, is redefining traditional consumers as active co-creators of electricity generation. This study examines the role of predictive analytics in supporting resilience and co-creation within distributed energy resources (DERs). It employs semi-structured qualitative interviews to explore stakeholder perspectives on how predictive analytics is envisioned and applied. Our preliminary findings show that predictive analytics could be used across diverse applications, such as forecasting, maintenance, and load optimisation. These diverse applications actively shape energy management systems while influencing decision-making and operational design. The application of predictive analytics is shaped by both enabling and constraining conditions. We conclude that predictive analytics functions not only as a technical tool but also aligns stakeholders and promotes collaborative and adaptive energy management among distributed energy resources.
Recommended Citation
Kindong, Theodore; Johansson, Björn; and Paulsson, Victoria, "From Control to Co-Creation: Predictive Analytics in
Resilient Distributed Energy Resources" (2025). ACIS 2025 Proceedings. 94.
https://aisel.aisnet.org/acis2025/94