CORDIS Project
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This project develops Trust-ML, a framework for evaluating the trustworthiness of machine learning models used in power systems. It focuses on performance, robustness, and interpretability to ensure safe deployment of these technologies in managing renewable energy resources and grid coordination.
Deep decarbonization of the energy sector will require massive penetration of stochastic renewable energy resources and an enormous amount of grid asset coordination; this represents a challenging paradigm for power system operators.
With its ability to learn in complex environments and provide predictive solutions on fast timescales, machine learning (ML) is posed to help overcome these challenges and dramatically transform power systems in coming decades.
Emerging EU verification standards, ho…
TECHNICAL UNIVERSITY OF DENMARK DTU
DANMARKS TEKNISKE UNIVERSITET
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TECHNION - ISRAEL INSTITUTE OF TECHNOLOGY
Israel, Haifa
Type: University / higher education
Activity type: Higher or Secondary Education Establishments
SME: No
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