Artificial Intelligence for Smart Energy Systems

Dear Colleagues,

In recent years, with the development of Information and Communication Technologies (ICT) and the advent of Artificial Intelligence, technology has become immerse in all major industry sectors, and the power and energy sector is no exception.

Power and energy systems have been undertaking major changes which require different approaches and methods for their planning and operation. On one hand, distributed resources, from distributed generation to distributed mobile and stationary storage and demand flexibility, are making the traditional centralized management approaches to give place to more decentralized approaches. On the other hand, consumers and prosumers are being put in the center of the sector policy and market-driven approaches are currently the rule driving the sector dynamics and activities.

The ongoing changes bring enormous opportunities and challenges to traditional and to new players requiring huge changes in planning and operation methods. With more and innovative players entering in the sector, artificial intelligence-based approaches can be the key to deal with the new challenges and to ensure the systems and the respective players sustainability, both in economic and environmental terms.

Distributed decision-making, players’ modeling, as well as different artificial intelligence-based forecasting and optimization approaches are some of the techniques that are already being successfully used, even if only in a emergent and timid way.

This Special Issue aims at making known the most relevant advances on the development of smart energy systems that are grounded in Artificial Intelligence techniques such as machine learning, multiagent systems, and semantics. The ultimate goal is to identify the most promising approaches for each of the current and future challenges in the power and energy sector as well as to provide readers with a set of concrete applications of Artificial Intelligence that have the potential to be the basis for more intelligent, inclusive, and sustainable energy industry and use.

Prof. Dr. Goreti Marreiros
Prof. Dr. Zita Vale
Prof. Dr. Bo Nørregaard Jørgensen
Guest Editors

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