Call for Full Chapters: Artificial Intelligence Approaches for Renewable Energy and Agro-Engineering

Full Chapter Submission Deadline: 24th February, 2021

A book edited by Professor Valeriy Kharchenko (Federal Scientific Agro-engineering Center VIM, Russia), Professor Gerhard-Wilhelm Weber (Poznań University of Technology, Poland), Dr. J. Joshua Thomas (UOW Malaysia, KDU Penang University College), Dr. Pandian Vasant (University Technology Petronas, Malaysia)

This title will be one of the best-selling reference books of 2020 within the clean environmental, Modern Agricultural, Artificial Intelligence, and Physical Sciences subject area, containing emerging each on new and modern electric resources and renewable energy sources, photovoltaic (pv) solar, thermal modules, wind turbine, hydro-power, electrical vehicles, geothermal energy, bio-fuel, hydrogen and related topics. Due to the publication’s international perspectives it a critical resource outlining the advanced achievements in the field of artificial intelligence, renewable energy , electro-technologies and as such, it has been accepted for its’ comprehensive coverage in the global stage.

Objective of the Book
The Handbook of Research on Artificial Intelligence Approaches for Renewable Energy and Agro-Engineering is a critical scholarly resource that examines efficient use of modern electric resources and renewable energy sources which have a positive impact on sustainable development. Featuring coverage on cogeneration thermal modules, photovoltaic (pv) solar, and renewable energy systems (RES) application practices, this publication is geared towards academics, advocates, government officials, policy makers, humanized managers, practitioners, professionals, and graduates interested in the latest research on renewable energy and artificial intelligence for sustainable rural development.

Target Audience
Academics, Graduates, Professionals, Advocates, Policymakers, Researchers, Managers, Software Developers, Energy Technologies, Engineers, Executives Officers, Resource Staff.

Additional information:
Editors present readers with a collection of academic essays and scholarly articles focused on the contemporary and emerging application of artificial intelligence optimization methods in renewable energy, and agro-engineering across the planet. The editors have organized the selections that make up the main body of the text in parts devoted to energy related modern and innovative technical solutions to enhance accessible global energy problem in the United Nations world heritage sites, energy search and meta-search engines for online learning, and many other related subjects.

Recommended topics include, but are not limited to, the following:
Energy Resources, Renewable Resources, Hydropower Energy, Wind Power, Solar Power, Geothermal Energy, Tidal/Wave Power, Biomass/Biofuel, Hydrogen, Electrical vehicles, Artificial Intelligence, Deep Learning.

Submission Procedure
Researchers and practitioners are invited to submit the full chapter on or before 24th February 2021. Authors will be notified by 22nd March 2021 about the status of their full chapters. All submitted chapters will be reviewed on a double-blind review basis. Contributors may also be requested to serve as reviewers for this project.

Note: There are no submission or acceptance fees for manuscripts submitted to this book publication, Artificial Intelligence Approaches for Renewable Energy and Agro-Engineering. All manuscripts are accepted based on a double-blind peer review editorial process.

This book is scheduled to be published by River Publishers.

Guideline for manuscript preparation is given below:

Important Dates
24th February , 2021: Full Chapter Submission
22nd March, 2021: Review Results Returned
10th April, 2021: Final Acceptance Notification
24th April, 2021: Final Chapter Submission

Inquiries can be forwarded to
– Dr. J. Joshua Thomas, UOW Malaysia, KDU Penang University College,
– Prof. Dr. Gerhard-Wilhelm Weber, Poznan University of Technology, Poland, and METU, Angkara,
– Professor Valeriy Kharchenko, Federal Scientific Agro-engineering Center VIM, Russia,
– Dr. Pandian Vasant, Universiti Teknologi Petronas, Malaysia,