Smart Hybrid Renewable Energy Harvesting Systems: An IoT-Based Approach
Smart hybrid renewable energy resource assessment involves utilizing an Internet of Things (IoT)-based approach to optimize the evaluation and management of renewable energy sources. This innovative methodology integrates advanced sensor technologies, data analytics, and communication systems to monitor, analyze, and enhance the efficiency of renewable energy systems. By employing IoT devices such as sensors and meters, real-time data on solar, wind, and other renewable resources can be collected, allowing for accurate and dynamic assessments. The integration of smart technologies enables better decision-making in resource allocation, energy production forecasting, and overall system optimization. This approach not only contributes to sustainable energy practices but also enhances grid resilience and reliability. As the world seeks greener and more efficient energy solutions, smart hybrid renewable energy resource assessment through an IoT-based approach emerges as a crucial enabler for a cleaner and smarter energy future.
The Special Topic will explore innovative approaches, methodologies, and technologies in the field of smart energy management, specifically focusing on the integration of renewable resources and the utilization of Internet of Things (IoT) technologies.
Topics covered include, but are not limited to:
- Control and optimization algorithms for hybrid renewable energy systems
- Smart grid technologies for renewable energy integration
- Economic and environmental assessments of smart hybrid energy solutions
- IoT-enabled sensors and devices for energy monitoring
- Data analytics and machine learning in renewable energy forecasting
- Case studies and real-world applications of IoT in renewable energy assessment
- Energy storage systems and their role in hybrid energy setups
- Cybersecurity challenges in IoT-based energy systems
Guest Editors
Abdu Saif, Taiz University, Taiz, Yemen
Manoj Kumar, University of Wollongong, Dubai, United Arab Emirates
Sachin Kumar Gupta, Central University of Jammu, Bagla, India