Smart Embedded Technologies and Sensors for Sustainable Renewable Energy and System Applications

Dear Colleagues,

Sustainable renewable energy systems have recently been widely implemented in various locations, and the necessity to monitor, regulate, and manage the functioning of the injected power provided by renewable energy sources has drawn the attention of many academics. Through utilizing machine learning and artificial intelligence algorithms, smart embedded systems and digital sensors play an important role in the Internet of Things and Industry 5.0. IoT can significantly enhance the living environment by automating energy distribution and smart energy management systems. Smart embedded technologies and sensors enable the use of the Internet of Things by collecting data that may be utilized to make more informed decisions, while avoiding performance degradation and developing intelligent systems. This Special Issue aims to publish original, unpublished technical research findings on topics such as smart solar energy systems, wind turbines, hybrid systems, the energy efficiency of fault detection and diagnostic tools, and machine learning techniques used in predicting the future. Artificial intelligence approaches, such as fuzzy logic, meta-heuristic algorithms, time series analysis, and hybrid methods, are used in all these domains and more.

We welcome contributions ranging from theory to applications and case studies linked to the development and performance of smart embedded sensing devices for sustainable renewable energy and system applications. Studies and survey papers are also encouraged, as long as they provide novel perspectives based on an in-depth examination and synthesis of the state of the art in the field.

This Special Issue is intended for academics, researchers, and industry professionals hoping to publish their findings on the following topics of interest (among others):

• Smart supervisory control of grids;
• Artificial intelligence sensor techniques for IoT use cases;
• Weather-based solar power prediction;
• Edge artificial intelligence;
• Blockchain for sustainable renewable energy and systems;
• Internet of Things in the renewable energy industry;
• Smart embedded technologies and sensors for green infrastructure, electricity grids, and healthcare;
• Smart energy management systems;
• AI-enabled smart materials;
• Artificial-intelligence-powered sensor system for sustainable renewable energy systems.

Dr. Manoharan Madhiarasan
Dr. Mohamed Louzazni
Dr. Marco Mussetta
Guest Editors

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