Applications of AI and IOT in Renewable Energy

Applications of AI and IOT in Renewable Energy provides a future vision of unexplored areas and applications for Artificial Intelligence and Internet of Things in sustainable energy systems. It is designed to assist with developing low-cost, smart, and efficient solutions for renewable energy systems and is intended for researchers, academics, and industrial communities.

Format: Paperback / softback
Length: 246 pages
Publication date: 15 February 2022
Publisher: Elsevier Science & Technology

The potential of Artificial Intelligence (AI) and the Internet of Things (IoT) in the realm of Renewable Energy is vast and exciting, offering a glimpse into unexplored areas and applications that have the potential to revolutionize the way we generate and consume energy. This book delves into the latest technical research results that support the ideas presented, covering a wide range of topics such as smart solar energy systems, intelligent DC motors, and the energy efficiency study of electric vehicles. By employing artificial intelligence methods, including artificial neural networks, genetic algorithms, fuzzy logic, and hybrid systems, this book aims to provide affordable, smart, and efficient solutions for renewable energy systems.

Renewable energy systems are facing significant challenges in terms of cost, scalability, and sustainability. By leveraging the power of AI and IoT, we can develop innovative solutions that address these challenges. For example, smart solar energy systems can optimize the generation of solar power by tracking the sun's movement and adjusting the angle of solar panels accordingly. This can lead to increased energy production and reduced energy waste.

Intelligent DC motors can also improve the efficiency of renewable energy systems by reducing energy loss during transmission and conversion. These motors can be controlled by AI algorithms that optimize their performance based on environmental conditions and energy demand.

Furthermore, the energy efficiency study of electric vehicles is crucial in reducing greenhouse gas emissions and promoting sustainable transportation. By analyzing the energy consumption of electric vehicles and developing new battery technologies, we can make electric vehicles more affordable and efficient, thereby increasing their adoption and reducing the reliance on fossil fuels.

The applications of AI and IoT in Renewable Energy are not limited to these areas alone. There are many other potential applications, such as predictive maintenance of renewable energy systems, real-time monitoring of energy grids, and smart grid management. By leveraging the power of AI and IoT, we can create a more sustainable and resilient energy system that is capable of meeting the growing energy demand of the world.

In conclusion, the potential of AI and IoT in Renewable Energy is immense, and this book provides a valuable resource for researchers, academics, and industrial communities engaged in the study and performance prediction of renewable energy systems. By leveraging the power of AI and IoT, we can create a more sustainable and resilient energy system that is capable of meeting the growing energy demand of the world.

Weight: 408g
Dimension: 154 x 228 x 22 (mm)
ISBN-13: 9780323916998