UID:
almahu_9949704582902882
Format:
1 online resource (418 pages)
ISBN:
0-323-91428-4
Content:
"Sustainable Developments by Artificial Intelligence and Machine Learning for Renewable Energies analyzes the changes in this energy generation shift, including issues of grid stability with variability in renewable energy vs. traditional baseload energy generation. Providing solutions to current critical environmental, economic and social issues, this book comprises various complex nonlinear interactions among different parameters to drive the integration of renewable energy into the grid. It considers how artificial intelligence and machine learning techniques are being developed to produce more reliable energy generation to optimize system performance and provide sustainable development."--
Note:
Includes index.
,
Application of alternative clean energy / Adarsh Gaurav [and 6 others] -- Optimization of hybrid energy generation / Poonam B. Dhabai, Neeraj Tiwari -- IoET-SG: Integrating internet of energy things with smart grid / M. Shahidul Islam [and 5 others] -- Evolution of high efficiency passivated emitter and rear contact (PERC) solar cells / Sourav Sadhukhan [and 10 others] -- Online-based approach for frequency control of microgrid using biologically inspired intelligent controller / Bhola Jha, Manoj Kumar Panda, Yatindra Kumar -- Optimal allocation of renewable energy sources in electrical distribution systems based on technical and economic indices -- Optimization of renewable energy sources using emerging computational techniques -- Advanced renewable dispatch with machine learning-based hybrid demand-side controller: The state of the art and a novel approach -- A machine learning-based design approach on PCMs-PV systems with multilevel scenario uncertainty -- Agent-based peer-to-peer energy trading between prosumers and consumers with cost-benefit business models -- Machine learning-based hybrid demand-side controller for renewable energy management -- Prediction of energy generation target of hydropower plants using artificial neural networks -- Response surface methodology-based optimization of parameters for biodiesel production -- Reservoir simulation model for the design of irrigation projects -- Effect of hydrofoils on the starting torque characteristics of the Darrieus hydrokinetic turbine.
Additional Edition:
Print version: Kumar, Krishna Sustainable Developments by Artificial Intelligence and Machine Learning for Renewable Energies San Diego : Elsevier,c2022
Additional Edition:
Print version: ISBN 9780323912280
Language:
English
