Synergizing Artificial Intelligence, 5G, and Cloud Computing for Efficient Energy Conversion Using Agricultural Waste-Reference-Cited by-同舟云学术

Synergizing Artificial Intelligence, 5G, and Cloud Computing for Efficient Energy Conversion Using Agricultural Waste

Published:2024-01-05 Issue: Volume: Page:475-497
ISSN:2330-3271
Container-title:Practice, Progress, and Proficiency in Sustainability
language:
Short-container-title:

Author:

Agrawal Anurag Vijay¹,Shashibhushan G.²,Pradeep S.³,Padhi S. N.⁴^ORCID,Sugumar D.⁵^ORCID,Boopathi Sampath⁶^ORCID

Affiliation:

1. Department of Electronics and Communication Engineering, J.P. Institute of Engineering and Technology, India

2. Department of Electronics and Communication Engineering, Sir M. Visvesvaraya Institute of Technology, India

3. Department of Electronics and Communication engineering, S.A. Engineering College, India

4. Department of Mechanical Engineering, Lakshmaiah Education Foundation, India

5. Department of Electronics and Communication Engineering, Karunya Institute of Technology and Sciences (Deemed), India

6. Department of Mechanical Engineering, Muthayammal Engineering College, India

Abstract

The combination of artificial intelligence, 5G technology, and cloud computing has altered energy conversion processes, most notably the use of agricultural waste for sustainable energy generation. This book chapter digs into AI, 5G, and cloud computing research and development for efficient energy conversion, environmental concerns, and the viability of agricultural waste as a renewable energy resource. AI technologies provide real-time monitoring and control, while cloud computing enables data analytics and optimization. The synergistic method increases the efficiency of energy conversion, predictability, flexibility, optimization, grid integration, energy storage, and cost reduction. Compatibility, data security, and financial sustainability, on the other hand, must be addressed. The chapter emphasises the importance of this integrated strategy in addressing global energy and environmental challenges.

Publisher

IGI Global

Reference37 articles.

1. Integration of energy storage system and renewable energy sources based on artificial intelligence: An overview

2. Improved Power Conversion Efficiency with Tunable Electronic Structures of the Cation-Engineered [Ai]PbI3 Perovskites for Solar Cells: First-Principles Calculations

3. A Control Method using Artificial Intelligence in Wind Energy Conversion System

4. Economic impacts and reliability evaluation of battery by adopting Electric Vehicle

5. Exploring agricultural waste biomass for energy, food and feed production and pollution mitigation: A review

Cited by 7 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Balancing Innovation and Security in the Cloud;Improving Security, Privacy, and Trust in Cloud Computing;2024-02-23

2. Securing Cloud Infrastructure in IaaS and PaaS Environments;Improving Security, Privacy, and Trust in Cloud Computing;2024-02-23

3. Intersection of Adaptive Learning, Global Collaboration, and Knowledge Sharing Through Machine Learning in Higher Education;Facilitating Global Collaboration and Knowledge Sharing in Higher Education With Generative AI;2024-02-02

4. Advancements in Machine Learning and AI for Intelligent Systems in Drone Applications for Smart City Developments;Advances in Electronic Government, Digital Divide, and Regional Development;2023-12-29

5. Intelligent Machines, IoT, and AI in Revolutionizing Agriculture for Water Processing;Handbook of Research on AI and ML for Intelligent Machines and Systems;2023-11-27