Recent Contribution from Large-Scale Data Analytics to the Sustainable Energy Transition

Dear Colleagues,

Goal No.7 of the Sustainable Development Goals calls to “ensure access to affordable, reliable, sustainable and modern energy”. Large-scale data analytics offers support to make this call a reality. Data analytics can boost efficiency in both the supply as well as the demand side of the energy sector. Data are an indispensable ingredient to smart grids, energy system modeling, and optimal control of renewable technologies. Data analytics furthermore supports monitoring and steering of the progress made by understanding the complexity and interlinkages involved. Digital tools can assist decision-making and lower the barriers for new actors to engage. At the same time, the digital revolution leads to an exponential growth in the amount of data available asking for new methods and approaches fit for the task.

This special issue explores recent developments in large-scale data analytics (such as artificial intelligence methods, massive agent-based modeling, and digital twins) applied in all domains of the energy system that support the transition to a sustainable energy system. Ultimately, the success of the transition will be decided by the changes in low-income countries and emerging economies. Therefore, preference will be given to papers which focus on these regions.

Dr. August Wierling
Guest Editor

Manuscript Submission Information

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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

• large-scale data analytics
• big data
• sustainable energy transition
• SDG No. 7