Diagnosis and green emission reduction of power plant equipment based on machine learning classification algorithm
Author:
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s00170-024-13211-9.pdf
Reference16 articles.
1. Tuballa ML, Abundo ML (2016) A review of the development of smart grid technologies. Renew Sustain Energy Rev 59:710–725
2. Kadhim KT, Alsahlany AM, Wadi SM, Kadhum HT (2020) An overview of patient’s health status monitoring system based on internet of things (IoT). Wireless Pers Commun 114(3):2235–2262
3. Dileep GJRE (2020) A survey on smart grid technologies and applications. Renew Energy 146:2589–2625
4. Gupta R, Srivastava D, Sahu M, Tiwari S, Ambasta RK, Kumar P (2021) Artificial intelligence to deep learning: machine intelligence approach for drug discovery. Mol Diversity 25:1315–1360
5. Qian G, Liu J (2022) A comparative study of deep learning-based fault diagnosis methods for rotating machines in nuclear power plants. Ann Nucl Energy 178:109334
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