Dear Colleagues,

The progress of information and communication technologies and digitalization are enabling the transition towards smart energy systems. The deployment of smart meters, together with other monitoring and metering devices, is giving us access to a large volume and significant variety of data in different power system domains, including generation, transmission, distribution, and consumption.

Artificial intelligence (AI), and in particular machine learning techniques, can help us to extract value from this data and guide some of the decision-making processes required for power systems management. Appropriate data processing has the potential to enhance the operation, control, maintenance, and planning of electrical grids.

The increasing penetration of renewables, combined with the installation of energy storage systems, is contributing to power systems’ decarbonization, but at the same time adding uncertainty into their operation. In this sense, AI techniques that can contribute to forecasting renewable power generation, power demand, flexibility, and electricity prices at different time horizons are of interest. Other applications of interest for AI techniques include, but are not limited to, topology identification, fault identification, systems observability, predictive maintenance, and energy management system design.

We invite you to contribute to this Special Issue.

Dr. Mònica Aragüés-Peñalba
Dr. Hussain Syed Kazmi
Guest Editors

Manuscript Submission Information

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• Artificial Intelligence
• Machine Learning
• Power System
• Smart Grids
• Smart Meters
• Distribution grids
• Transmission grids
• Flexibility