Applications of Artificial Intelligence in Renewable Energy

Dear colleagues,

The growth of installed renewable energy generation capacity has triggered a paradigm shift in the energy industry with a move from traditional baseload power generation sources of coal and nuclear energy to the now lower cost renewable energy resources of wind and solar power. However, this fundamental shift has widespread consequences in the energy industry, as traditional baseload generation is less variable due to weather dependence than renewable energy resources that are fundamentally driven by the weather. Additionally, the industry is changing from a market based on commodity pricing to a market based on technology solutions in order to integrate renewable energy. As the energy industry continues to utilize more variable generation sources, accurate forecasts of power generation and net load are becoming essential to maintain system reliability, minimize carbon emissions, and maximize renewable energy resources.

There are numerous complex, nonlinear interactions among multiple parameters controlling the integration of renewable energy into the electric grid. Artificial Intelligence approaches are being developed to produce more accurate predictions of renewable energy, including their generation and impacts on the electric grid such as net load forecasting, line loss predictions, maintaining system reliability, integrating hybrid solar and battery storage systems, and predicting equipment failure. Both fundamental and applied research are leveraging artificial intelligence to revolutionize the energy industry to utilize the capabilities of renewable energy.

This Special Issue seeks to contribute to advancing the generation capacity and integration of renewable energy into the electric grid with artificial intelligence. We invite papers on innovative Artificial Intelligence applications to renewable energy forecasting and integration, including reviews and case studies.

Prof. Dr. Sue Ellen Haupt
Dr. Tyler C. McCandless
Dr. David John Gagne II
Guest Editors

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