Technical brochure
TB 946 WG C2.42

The impact of the growing use of machine learning/Artificial Intelligence in the operation and control of Power Networks from an Operational perspective

As the complexities of operating modern power systems increase, many stakeholders throughout the energy value chain are turning to machine learning (ML) and artificial intelligence (AI) to manage these challenges. This shift is driven by systems' digitalisation and larger computational resources’ availability. For instance, transmission and distribution system operators can leverage these technologies to enhance load and generation forecasting, plan maintenance actions, and provide decision-making support tools for human operators in control rooms.

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C2

Power system operation and control

This Technical Brochure has been created by a Working Group from the CIGRE Power System operation and control Study Committee which is one of CIGRE's 16 domains of work.
The scope of the SC C2 covers the technical, human resource and institutional aspects and conditions for a secure and economic operation of power systems in a way that is in compliance with requirements for network security, against system disintegration,
equipment damages and human injuries, and security of electricity supply. The members of C2 mainly come from transmission system operators. The SC is encouraging young members to participate in its activities.

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