It`is our pleasure to announce that Fifth International Scientific Conference “TELECOMMUNICATIONS, INFORMATICS, ENERGY AND MANAGEMENT” TIEM 2020 will be held in October 2020, Sofia, Bulgaria.

TIEM is a conference organized by the University of Telecommunications and Posts, Sofia Bulgaria. The goal of the TIEM 2020 conference is to provide an international forum for researchers, academics, people in industry, and students to address recent research results and to present and discuss their ideas, theories, technologies, systems, tools, applications, work in progress and experiences on all theoretical and practical issues arising in telecommunications, electronics, signal processing and applications, information technologies, energy and management.

On behalf of The TIEM Organizing Committee, we are pleased to invite you to submit your paper to TIEM 2020. Submissions should be in English, following the formatting guidelines.

Organizing Committee of the TIEM Conference


Scrivener Publishing
Full Chapter Submission Deadline: 10th May 2021
Introduction to Artificial Intelligence in Renewable Energy and Climate Change   
A book edited by Professor Valeriy Kharchenko(Federal Scientific Agro-engineering Center VIM, Russia), Anirban Banik (NIT, Agartala, India), 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)


The rise in population and the concurrently growing consumption rate necessitates the evolution of clean energy systems to adopt current analytic and computational technologies such as big-data, IoTs and 5G technology to increase production at a faster and smoother scale. While existing technologies may help in energy processing, there is a need for studies that seek to understand how modern approaches like operational research, artificial intelligence, machine intelligence, hybrid technologies and advances in mathematics can aid to sustain clean energy and climate change processes while utilizing energy sources efficiently and productively.

Objective of the Book

The edited book on Introduction to Artificial Intelligence in Renewable Energy and Climate Change is an essential publication that examines the benefits and barriers of implementing computational models to clean energy systems, global warming, climate change, and energy sources as well as how these models can produce more cost-effective and sustainable solutions. Featuring coverage on a wide range of topics such as classical and nature-inspired optimization and optimal control, hybrid and stochastic systems, this book is ideally designed for engineers, scientists, industrialist, academicians, researchers, computer and information technologists, sustainable developers, managers, environmentalists, government leaders, research officers, policymakers, business leaders and students.

This book aims to be a delight for practitioners in the field of sustainable renewable energy sustainability and their outstanding impacts on how to face global warming and climate change.

Target Audience

This book is ideally designed for scholars and engineers, industrialist and government leaders, computer scientists and information technologists, sustainable developers and managers, environmentalists and research officers, academicians and researchers, policymakers and business leaders, and the youth.

Recommended topics include, but are not limited to, the following:

Artificial intelligence, Machine intelligence, Metaheuristic algorithms, Hydropower, Renewable electricity, Solar PV, Biopower, Geothermal power, Ocean power, Wind power,  Biogas, Hydrogen,  Global warming, Climate change, Renewable energy, Hybrid technology, CO2 minimization, Evolutionary algorithms, swarm intelligence, Computational intelligence, Soft computing, Operational research, Data mining, Hybrid optimization, Bioenergy Recycling, Biofuel supply chains, Energy management policy, Energy efficiency, Energy-saving technology, Small hydropower plants, Thermal treatments, Remote sensing, Optimization theory and applications, Optimal control theory and applications, Stochastic optimal control theory, and applications.

Submission Procedure

Researchers and practitioners are invited to submit the full chapter on or before 10th May 2021. Authors will be notified by 24th July 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 in Renewable Energy and Climate Change. All manuscripts will undergo a double-blind peer review editorial process.

Guidelines for Book Chapter Contributors and Authors

Full chapters of 10,000 to 12,000 words are expected to be submitted and all interested authors must consult the guidelines for manuscript submissions at

Important Dates

10th May, 2021: Full Chapter Submission

24th June, 2021: Review Results Returned

6th July, 2021: Final Acceptance Notification

24thJuly, 2021: Final Chapter Submission

Inquiries can be forwarded to

Dr. J. Joshua Thomas (UOW Malaysia, KDU Penang University College),

AnirbanBanik (NIT, Agartala, India),

Professor ValeriyKharchenko (Federal Scientific Agro-engineering Center VIM, Russia),

Prof. Dr. Gerhard-Wilhelm Weber (Poznan University of Technology, Poland, and METU, Ankara),

Dr. Pandian Vasant (UniversityTechnologyPetronas, Malaysia),