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.
To read this article subscribe to ELECTRA. Single edition, annual options and CIGRE membership are available. Access to all editions is free for CIGRE members.
Already have an account? Sign in