Challenges and Research Trends of AI Methods for IoT Enabled Renewable Energy Systems

Dear Colleagues,

 

Renewable energy systems (RES) have attracted many researchers due to the sustainability issues and the requirement for climate control/protection in the last decades. However, the intermittent nature of renewable energy sources causes a radical change in the steadiness of energy systems, and causes extensive load and pressure on electrical systems. To carefully optimize these systems, artificial intelligence methods were extensively used to deal with optimization issues in several areas, recently, in renewable energy systems.

 Alternatively, several innovative methods, e.g., deep/machine learning, evolutionary algorithms, optimization techniques, big data in conjunction with cutting-edge technologies, such as the Internet of Things (IoT), have been used to increase the stability, consistency, resiliency, and efficiency of renewable energy systems. Hence, the objective of this Special Issue is to explore the use of cutting-edge technologies in conjunction with AI methods in renewable energy networks.

The main topics of the issue include, but are not limited to, the following:

Prof. Zahoor Jan
Dr. Masood Ahmad
Dr. Aftab Ali
Guest Editors

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