AI-Powered IoT in the Energy Industry: Digital Technology and Sustainable Energy Systems

AI-Powered IoT in the Energy Industry explores how AI, IoT, and ML can be used to design and model energy and renewable energy systems, increase energy efficiency, and transition to a distributed, efficient, and embedded system.

Format: Hardback
Length: 311 pages
Publication date: 06 April 2023
Publisher: Springer International Publishing AG

The energy industry is undergoing a significant transformation due to the integration of artificial intelligence (AI), the Internet of Things (IoT), and Machine Learning (ML). These cutting-edge technologies offer immense potential for improving energy efficiency, increasing the utilization of renewable energy sources, and facilitating the transition towards decentralized, efficient, and embedded energy systems. In this comprehensive book, titled "AI-Powered IoT in the Energy Industry: Digital Technology and Sustainable Energy Systems," the authors explore various opportunities to harness the power of AI, IoT, and ML in designing and modeling energy and renewable energy systems.

One of the primary objectives of the book is to demonstrate how big data can contribute to energy efficiency and demand reduction. By analyzing vast amounts of data from various sources, including energy consumption patterns, weather conditions, and equipment performance, AI algorithms can identify patterns and trends that can help optimize energy usage and reduce waste. This can lead to significant cost savings for energy providers and consumers alike.

Another key area of focus is the increase in the usage of renewable energy sources. Solar, wind, biomass, and hydrogen are among the promising renewable energy technologies that are gaining popularity due to their environmental benefits and cost-effectiveness. The book provides in-depth coverage of these renewable energy sectors, including their fundamentals, applications, and challenges. Chapters explore various renewable energy property prediction methods, such as machine learning algorithms, and discuss AI and IoT prediction models for biomass thermal properties.

Furthermore, the book emphasizes the importance of transitioning from a centralized system to a distributed, efficient, and embedded energy system. This involves integrating various energy sources, such as solar panels, wind turbines, and energy storage systems, into a network that can be managed and controlled remotely. AI and IoT technologies play a crucial role in this transition by enabling real-time monitoring, control, and optimization of energy systems.

The contributions in this book cover a wide range of topics, including the fundamentals of the renewable energy sector, the application of big data in distributed energy domains, and the development of AI and IoT prediction methods and models. The authors draw on their expertise and research to provide readers with a comprehensive understanding of the latest developments in the energy industry and their potential impact on the future.

In conclusion, "AI-Powered IoT in the Energy Industry: Digital Technology and Sustainable Energy Systems" is a valuable resource for professionals, researchers, and policymakers interested in advancing the development of sustainable energy systems. By leveraging the power of AI, IoT, and ML, the energy industry can achieve greater efficiency, reduce carbon emissions, and pave the way for a more sustainable future.

Weight: 658g
Dimension: 235 x 155 (mm)
ISBN-13: 9783031150432
Edition number: 1st ed. 2023