Data Science Applications in Medium/Low Voltage Smart Grids

Dear Colleagues,

The topic of smart grids, and especially smart distribution networks, has received much attention in the past decade. As the transformation of the electricity sector advances, increased attention is given to the medium-voltage and low-voltage components of electricity supply. This transformation is driven by a number of technological advancements, including the increasing presence of distributed generation from renewable energy sources, the electrification of loads, and the integration of energy storage; however, the changes also affect regulatory activities and market development as well. A successful transition requires the combined effort of professionals of various backgrounds and the proper use of data that are available in unprecedented volumes.

Important theoretical and practical advances in the data science field contribute largely to the mentioned issues. Data mining, machine learning, and forecasting are just some of the inter-disciplinary areas that are being integrated into everyday power system operation with significant success. The Special Issue aims to present a selection of these recent advances, with emphasis on the results that are contributing to this field not only from a scientific perspective, but also on those that demonstrate a real-life application (pilot, demonstration, field test or mature phase) of these tools.

Dr. Hartmann Balint
Prof. Dr. Joao Miguel C. Sousa
Guest Editors

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