EU Cybersecurity Laws Hindering AI in Smart Grids, Study Finds
A recent review published in Energies by researchers from the University of Southern Denmark and University Tenaga Nasional examines the complex interaction between European Union laws and AI adoption in smart grids. The study highlights significant regulatory challenges slowing AI integration in electricity infrastructure across Europe.
Regulatory Roadblocks for AI in Smart Grids
The EU’s General Data Protection Regulation (GDPR), the Artificial Intelligence Act, and other cybersecurity laws present multitudinous obstacles for AI perpetration in smart grids. The GDPR classifies high- resolution smart cadence data as particular data, taking unequivocal concurrence, legal processing bases, and data protection impact assessments. These rules complicate AI’s use, particularly for serviceability counting on third- party providers or working across borders. also, the EU AI Act classifies numerous AI operations in real- time grid control as" high- threat," challenging threat assessments, explainability protocols, and compliance checks, which burden lower serviceability and startups, stifling invention.
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Technological and Operational Barriers
Beyond compliance, the review outlines several technological challenges. Integrating AI into being structure is delicate due to issues like data quality, interoperability, and the need for real- time processing of vast data aqueducts. Smart grids are also vulnerable to cybersecurity pitfalls, with vicious data inputs potentially causing failures. likewise, scalability remains a problem; AI models frequently struggle to acclimatize across public grids with varying topologies and energy composites. The lack of standardized AI models across the assiduity further complicates collaboration between stakeholders, hindering grid-wide optimization.
openings and Long- Term Earnings
Despite the nonsupervisory and specialized walls, the study emphasizes that AI can bring substantial benefits to smart grids, similar as prophetic conservation, briskly fault discovery, and more effective resource operation. AI can also prop in integrating renewable energy sources, supporting the EU’s Green Deal and net- zero targets. While challenges persist, the review advocates for nonsupervisory sandboxes and specialized standardization to insure successful AI deployment, particularly for lower enterprises in the sector.
