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Artificial Intelligence of Things for Wind Energy Systems

Editors

Bhargav APPASANI, Ph.D. (Engg.)

Kalinga Institute of Industrial Technology, Bhubaneswar, Odisha, India

bhargav.appasanifet@kiit.ac.in

Sunil Kumar Mishra, Ph.D. (Engg.)

Kalinga Institute of Industrial Technology, Bhubaneswar, Odisha, India

sunil.mishrafet@kiit.ac.in

Salah KAMEL, Ph.D. (Engg.)

Department of Electrical Engineering, Faculty of Engineering, Aswan University, 81542 Aswan, Egypt.

skamel@aswu.edu.eg

Introduction

The goal of this book is to examine the most recent developments in Artificial Intelligence of Things (AIoT) for wind energy systems. AIoT is a combination of artificial intelligence (AI) and the internet of things (IoT) infrastructure for efficient data acquisition, analytics and automated control. With the progress in integrated circuit design, it is now feasible to process large amounts of data, and obtain significant information. Additionally, IoT can be combined for reliable operation of the wind energy systems. The existing remote monitoring techniques are not sufficient to detect turbine anomalies and achieve reliable operation.

At this juncture of latest communication and computational technologies, this book is timely, as it considers the use of AIoT for wind energy systems. It considers the lastest technologies such as, bigdata, AI, machine learning, deep learning, IoT, 5G, etc. for reliable wind energy generation.

Publisher

This book has been accepted to be published by Elsevier

THE PUBLISHER AGREES TO PROVIDE THE CORRESPONDING AUTHORS OF EACH CHAPTER WITH ONE PRINTED COPY OR E-COPY OF THE BOOK.

Submission Deadlines

Call for chapter proposals: July 20, 2023

Proposal submission deadline (500-700 words): August 20, 2023

Notification of Proposal acceptance: August 31, 2023

Completed draft chapter deadline: October 31, 2023

Review of completed chapters’ deadline: November 31, 2023

Final chapter deadline: December 31, 2023

Target book release: May 2024

Submission of Chapter Proposals:

Researchers are invited to submit their chapter proposals related to the initial proposed contents by the editors or their own proposals via preparing a chapter proposal using 500-700 words to explain how the proposal fits into the book’s goals and scope.

Chapter proposals should include:

• Proposed chapter title

• Author(s) name, title, full contact information, and institutional affiliation

• Detailed description of the chapter (500-1000 words) including purpose, content, key features

• List of anticipated key references

• Short description of how the chapter will contribute to the book

• Short biography (50-100 words) of contributing authors including insight for involved publication in last 3 years.

Submissions should be submitted in Microsoft Word format via email to the following addresses: bhargav.appasanifet@kiit.ac.in

Full Chapter Preparation Guidelines

The length of the chapter should be between 20 to 25 pages. Use MS Word file for preparing the final chapter. Other formats are not acceptable at all. This must be mandatory for each chapter contributor to follow these instructions meticulously at the time of final chapter submission. Roughly edited chapters would not be entertained.

At time of final chapter preparation, do not copy figures/table or any illustration directly from any sources as it violates rule of Copyright Act. If necessary, take permission from respective author(s) of that particular paper or research article.

The submitted full chapters should include:

• Proposed chapter title

• Author(s) name, title, full contact information, and institutional affiliation

• Abstract and Keywords

• Detailed description of the chapter including figures and tables.

• Nomenclature (if it is the case)

• List of abbreviations

• References

• Archive of high-resolution Figures

Topics

Interested researcher and academician are invited to send their chapter proposal along with abstract and tentative table of content (ToC). Following chapters are invited for book title mentioned above:

AIoT for Wind Energy Systems: Technologies, Challenges and Future Directions
Deep Learning and IoT for Effective Forecasting of Wind
Novel Control Techniques for Reliable Wind Energy Generation Incorporating AI and IoT
Energy Management in Wind Farms Using IoT, big data and AI
Bigdata, IoT and AI for Anomaly Detection in Wind Turbine Generators
Digital Twins for Wind Energy Systems Using IoT and AI
Internet of Drones and Deep Learning for Inspection of Wind Turbine Generators
AI and IoT based Recommendation Systems for Wind Energy Generation
Security Concerns in AIoT systems for Wind Energy Farms
Wind Energy Microgrid Monitoring and Control using AIoT

ANY RELATED TOPICS AND PROPOSED CHAPTERS WILL BE CHECKED AND INCLUDED.

Published Books

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