Sustainable Developments by Artificial Intelligence and Machine Learning for Renewable Energies
Kumar, Krishna LU
; Rao, Ram Shringar
; Kaiwartya, Omprakash
; Shamim Kaiser, M.
and Padmanaban, Sanjeevikumar
(2022)
- Abstract
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. As the use of artificial intelligence to... (More)
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. As the use of artificial intelligence to revolutionize the energy market and harness the potential of renewable energy is essential, this reference provides practical guidance on the application of renewable energy with AI, along with machine learning techniques and capabilities in design, modeling and for forecasting performance predictions for the optimization of renewable energy systems. It is targeted at researchers, academicians and industry professionals working in the field of renewable energy, AI, machine learning, grid Stability and energy generation.
(Less)
- editor
- Kumar, Krishna
LU
; Rao, Ram Shringar
; Kaiwartya, Omprakash
; Shamim Kaiser, M.
and Padmanaban, Sanjeevikumar
- publishing date
- 2022-01-01
- type
- Book/Report
- publication status
- published
- subject
- pages
- 391 pages
- publisher
- ScienceDirect, Elsevier
- external identifiers
-
- scopus:85137507354
- ISBN
- 9780323912280
- 9780323914284
- DOI
- 10.1016/C2020-0-04074-0
- language
- English
- LU publication?
- no
- additional info
- Publisher Copyright: © 2022 Elsevier Inc. All rights reserved.
- id
- 7c593067-3239-4eac-a2b8-720a8a6f1072
- date added to LUP
- 2024-04-15 13:20:19
- date last changed
- 2024-08-06 00:16:26
@book{7c593067-3239-4eac-a2b8-720a8a6f1072,
abstract = {{<p>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. As the use of artificial intelligence to revolutionize the energy market and harness the potential of renewable energy is essential, this reference provides practical guidance on the application of renewable energy with AI, along with machine learning techniques and capabilities in design, modeling and for forecasting performance predictions for the optimization of renewable energy systems. It is targeted at researchers, academicians and industry professionals working in the field of renewable energy, AI, machine learning, grid Stability and energy generation.</p>}},
editor = {{Kumar, Krishna and Rao, Ram Shringar and Kaiwartya, Omprakash and Shamim Kaiser, M. and Padmanaban, Sanjeevikumar}},
isbn = {{9780323912280}},
language = {{eng}},
month = {{01}},
note = {{Book Editor}},
publisher = {{ScienceDirect, Elsevier}},
title = {{Sustainable Developments by Artificial Intelligence and Machine Learning for Renewable Energies}},
url = {{http://dx.doi.org/10.1016/C2020-0-04074-0}},
doi = {{10.1016/C2020-0-04074-0}},
year = {{2022}},
}