Renewable energy systems, such as solar, wind, and fuel cells, have nonlinear properties, and their power output is primarily dependent on several factors. Using sensors and embedded systems in conjunction with smart hardware and software components may be the most effective way to tackle a variety of practical challenges. In recent years, for example, the integration of sensors in renewable energy systems has garnered a significant lot of interest from many researchers and the industry community.

The use of sensors in renewable energy systems necessitates real-time monitoring and management operations in any place, ideally at a reasonable cost. The Internet of Things (IoT), Industry 4.0, and digital techniques have the potential to boost sensor deployment significantly. On the other hand, smart embedded systems necessitate the use of modern and intelligent digital technologies such as Arduino, algorithms, artificial IoT, and artificial intelligence (AI) to increase system performance in a variety of industrial applications.

This Special Issue covers the applications of advanced sensors and embedded systems for various renewable energy sources (solar, wind, fuel cell, etc.). The objectives are to optimize, forecast, control, analyze the system stability, the operational and investment costs, the quality of service, and many others. These objectives can be formulated as multi-objective problems and solved using, for instance, fuzzy logic, the Kalman filter, meta-heuristic algorithms, Industry 4.0, IoT, etc. The purpose of this Special Issue is to encourage scholars and practitioners to publish and discuss novel and high-quality papers (new theories, methodologies, techniques, and applications) on sensors and smart embedded systems for renewable energy systems. We welcome both original research and review articles.

Potential topics include but are not limited to the following:

• Control: adaptive control, robust control management of renewable energy systems
• Fault detection and isolation, sensing and data fusion
• Industrial informatics: embedded systems for monitoring and controlling
• Internet of Things (IoT) for renewable energy systems
• Monitoring of storage energy system: batteries, supercapacitors, fuel cells, etc
• Smart photovoltaic (PV) sensors
• Environmental and clean energy monitoring
• Advanced PV, fuel cell, wind turbine sensor characterization
• Energy management systems
• Light unmanned aerial vehicles (UAVs) monitoring for renewable energy
• Non-destructive testing (NDT) and evaluation for renewable energy systems