The Swiss-German AISOP research project, focused on AI-assisted grid situational awareness and operational planning, has released its final report. The project developed an AI-supported decision-making system designed to assist grid operators in managing decentralised electricity networks.

The consortium, which included the Association for Efficient Energy and Water Use (ASEW), focused on identifying patterns and anomalies in low-voltage networks. The project resulted in the creation of a web-based application that provides network operators with practical insights for grid management.

Key outcomes of the AISOP project include:

• Development of AI methods for early anomaly detection in grid operations
• Assessment of dynamic tariff systems on consumer and prosumer behaviour
• Creation of a practical web-based application for municipal utility operators
• Establishment of an Electricity Networks Working Group to continue the research

Richard Orth, Deputy Head of Research Projects at ASEW, said the project successfully identified patterns in extensive datasets to support well-founded decisions in grid management. ASEW acted as the liaison for municipal utilities, ensuring that results were prepared for practical implementation.

The project was funded by Smart Energy Systems Era-Net. Partners included network operators Westfalen Weser Netz and Romande Energie, software developers logarithmo and Hive Power, and academic institutions including ETH Zurich and the Lucerne University of Applied Sciences and Arts.