AI and IoT in Improving Resilience of Smart Energy Infrastructure-Reference-Cited by-同舟云学术

AI and IoT in Improving Resilience of Smart Energy Infrastructure

Published:2023 Issue: Volume: Page:189-213
ISSN:1612-1287
Container-title:AI-Powered IoT in the Energy Industry
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Author:

Vijayalakshmi S.,Savita ,Durgadevi P.

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-15044-9_9

Reference33 articles.

1. Lund H, Andersen AN, Stergaard PA, Mathiesen BV, Connolly D. From electricity smart grids to smart energy systems flea market operation based approach and understanding. Energy. 2012;42(1):96–102.

2. Connolly D, Lund H, Mathiesen BV, Østergaard PA, Möller B, Nielsen S, et al. Smart energy systems: holistic and integrated energy systems for the era of 100% renewable energy. 2013.

3. Lund H. Renewable energy systems: a smart energy systems approach to the choice and modeling of 100% renewable solutions. Academic Press; 2014.

4. https://en.wikipedia.org/wiki/Smart_grid.

5. Noorollahi Y, Yousefi H, Mohammadi M. Multi-criteria decision support system for wind farm site selection using GIS. Sust Energ Technol Assess. 2016;13:38–50.

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