Artificial Intelligence-based Models and Applications for Power and Energy Systems

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The power and energy industries are experiencing huge changes due to different factors. The need for a more sustainable energy future led to a significant increase in the use of renewable energy sources, bringing new challenges to power systems operation, whereas requiring new models for electricity markets. Demand is significantly rising  due to the trend towards increased electrification in mobility and building climatization, to huge demand from data centres and from Artificial Intelligence models. Power and energy systems increased distributed nature, with distributed generation, active consumers, electric vehicles, and distributed storage are important aspects of the sector evolution. New planning and operation methods are needed to address the new challenges.

Artificial Intelligence is key to enable the energy transition process, ensuring not only adequate approaches for efficient energy use but also bringing a human centric paradigm to the energy business, where end users should have a reinforced role and participation. Artificial Intelligence concepts and methods have a huge potential to bring effective solutions ensuring efficient and sustainable solutions as well as the fair and efficient participation of all the involved actors, from small consumers and energy communities to large utilities. 

Data driven and knowledge-based approaches can ensure the required distributed decision support, in the frame of competitive electricity markets and the new challenging planing and operation conditions for power and energy systems.