Earnings Before Interest, Taxes, Depreciation, and Amortization
Published in Chapter:
Synergizing Artificial Intelligence, 5G, and Cloud Computing for Efficient Energy Conversion Using Agricultural Waste
Anurag Vijay Agrawal (Department of Electronics and Communication Engineering, J.P. Institute of Engineering and Technology, India),
G. Shashibhushan (Department of Electronics and Communication Engineering, Sir M. Visvesvaraya Institute of Technology, India),
S. Pradeep (Department of Electronics and Communication engineering, S.A. Engineering College, India),
S. N. Padhi (Department of Mechanical Engineering, Lakshmaiah Education Foundation, India),
D. Sugumar (Department of Electronics and Communication Engineering, Karunya Institute of Technology and Sciences (Deemed), India), and
Sampath Boopathi (Department of Mechanical Engineering, Muthayammal Engineering College, India)
Copyright: © 2023
|Pages: 23
DOI: 10.4018/979-8-3693-1186-8.ch026
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.