HIOPE-2021: Hybrid Intelligent Optimization Approaches for Smart Energy: A Practical Approach |
Submission link | https://easychair.org/conferences/?conf=hiope2021 |
Abstract Acceptance date | September 15, 2020 |
Abstract registration deadline | November 15, 2020 |
Chapter Acceptance date | November 30, 2020 |
Submission deadline | January 30, 2021 |
Submission Guidelines
The scope of this book is to bridge the gap between traditional power consumption methods and modern consumptions methods using smart computation methods. This book addressed the various limitations, issues and challenges of traditional energy consumption methods. This book provides solutions for various issues using modern smart computation technologies. The various smart computation prediction modeling and optimization techniques are playing a significant role in power consumption. These smart technologies are also cheaper compared to traditional technologies. The significant limitations of energy usage and optimizations are rectified using smart computations techniques, and the computation techniques are applied to different applications.
The book will be published under the Wiley-Scrivener imprint and will be indexed by Scopus and offered to Web of Science.
List of Topics
All Chapters must be original and not simultaneously submitted to another journal or conference. The following chapters categories are welcome:
- Introduction of energy optimization techniques in renewable and power domain.
- Energy optimization techniques: An Exhaustive Review
- Energy Management scheduling techniques using smart power computations techniques
- Distributed computing Energy optimization Techniques: Computing Technologies
- Big data and cloud computing Energy optimization: Computing Technologies
- Agriculture energy optimization using IoT and Deep learning
- IoT based Energy Optimizations using recursive AI
- Smart Cities Energy Optimization Techniques: Machine Learning
- Road Network Energy Optimization using IoT and Deep Learning
- Industrial applications using smart energy computations techniques
- Healthcare energy optimization techniques using IoT and Machine learning
- Energy Management scheduling techniques using smart power computations techniques
- Multi-Model Techniques for Energy Optimization: Computing Technologies
- Case study of Energy Optimization: Various applications such as smart Home, car, Electronic devices etc.
- Research challenges & future direction using computing techniques in energy optimization.
Abstract Submission (of approx. 500 words): 15th November 2020
Editors
- Dr Senthilkumar Mohan, Associate Professor, Vellore Institute of Technology, Vellore, Tamil Nadu, India.
- Dr John A, Assistant Professor, Galgotias University, Greater Noida, India.
- Dr Sanjeevikumar Padmanaban, Department of Energy Technology, Aalborg University, 9100 Aalborg, Denmark.
- Dr Yasir Hamid, Assistant Professor, Information Security and Engineering Technology, ADPOLY, Abu Dhabi, United Arab Emirates.
Publication
HIOPE-2021 proceedings will be published in ...
by Established in 2009, the purpose of Scrivener Publishing is to publish books in the technical applied sciences for both the practitioner in industry and the researcher in academia. This high-quality content is essential to our professional customers and is sold globally as print and electronic as well as in aggregated databases, including Scopus and Web of Science. By partnering with Wiley, the leading engineering publisher, to create our joint imprint, Wiley-Scrivener, Scrivener Publishing offers our authors, editors and contributors, efficient and personalized editorial attention, as well as global marketing, sales, and distribution both in print and digital
Contact
All questions about submissions should be emailed to publicationssci2021@gmail.com; mosenkum@gmail.com; johnmtech@gmail.com; Yasir.hamid@adpoly.ac.ae; san@et.aau.dk