Open Access
Issue
E3S Web of Conf.
Volume 540, 2024
1st International Conference on Power and Energy Systems (ICPES 2023)
Article Number 08012
Number of page(s) 12
Section Energy Management System
DOI https://doi.org/10.1051/e3sconf/202454008012
Published online 21 June 2024
  1. Danish, Mir Sayed Shah. “AI in Energy: Overcoming Unforeseen Obstacles.” AI 4, no. 2 (2023): 406–425. [CrossRef] [Google Scholar]
  2. Arsad, Siti Rosilah, Muhamad Haziq Hasnul Hadi, Nayli Aliah Mohd Afandi, Pin Jern Ker, Shirley Gee Hoon Tang, Madihah Mohd Afzal, Santhi Ramanathan, Chai Phing Chen, Prajindra Sankar Krishnan, and Sieh Kiong Tiong. “The Impact of COVID-19 on the Energy Sector and the Role of AI: An Analytical Review on Pre-to Post-Pandemic Perspectives.” Energies 16, no. 18 (2023): 6510. [PubMed] [Google Scholar]
  3. Tomazzoli, Claudio, Simone Scannapieco, and Matteo Cristani. “Internet of things and artificial intelligence enable energy efficiency.” Journal of Ambient Intelligence and Humanized Computing 14, no. 5 (2023): 4933–4954. [CrossRef] [Google Scholar]
  4. Zhao, Ning, Haoran Zhang, Xiaohu Yang, Jinyue Yan, and Fengqi You. “Emerging information and communication technologies for smart energy systems and renewable transition.” Advances in Applied Energy (2023): 100125. [Google Scholar]
  5. Pereira, Vijay, Elias Hadjielias, Michael Christofi, and Demetris Vrontis. “A systematic literature review on the impact of artificial intelligence on workplace outcomes: A multi-process perspective.” Human Resource Management Review 33, no. 1 (2023): 100857. [CrossRef] [Google Scholar]
  6. Ashraf, Waqar Muhammad, Ghulam Moeen Uddin, Rasikh Tariq, Afaq Ahmed, Muhammad Farhan, Muhammad Aarif Nazeer, Rauf Ul Hassan, et al. “Artificial Intelligence Modeling-Based Optimization of an Industrial-Scale Steam Turbine for Moving toward Net-Zero in the Energy Sector.” ACS omega (2023). [Google Scholar]
  7. Szczepaniuk, Hubert, and Edyta Karolina Szczepaniuk. “Applications of Artificial Intelligence Algorithms in the Energy Sector.” Energies 16, no. 1 (2022): 347. [CrossRef] [Google Scholar]
  8. Zhang, Guodao, Jian Liu, Xiaotian Pan, Azher M. Abed, Binh Nguyen Le, H. Elhosiny Ali, and Yisu Ge. “Latest avenues and approaches for biohydrogen generation from algal towards sustainable energy optimization: Recent innovations, artificial intelligence, challenges, and future perspectives.” International Journal of Hydrogen Energy 48, no. 55 (2023): 20988–21003. [CrossRef] [Google Scholar]
  9. Chwiłkowska-Kubala, Anna, Szymon Cyfert, Kamila Malewska, Katarzyna Mierzejewska, and Witold Szumowski. “The impact of resources on digital transformation in energy sector companies. The role of readiness for digital transformation.” Technology in Society 74 (2023): 102315. [CrossRef] [Google Scholar]
  10. Olabi, A. G., Mohammad Ali Abdelkareem, and Hussam Jouhara. “Energy digitalization: Main categories, applications, merits, and barriers.” Energy 271 (2023): 126899. [CrossRef] [Google Scholar]
  11. Tiwari, Seemant. “Artificial Intelligence (AI) in the Sustainable Energy Sector.” Eng. Proc 5 (2023). [Google Scholar]
  12. Olabi, A. G., Mohammad Ali Abdelkareem, and Hussam Jouhara. “Energy digitalization: Main categories, applications, merits, and barriers.” Energy 271 (2023): 126899. [CrossRef] [Google Scholar]
  13. Nazari, Zahra, and Petr Musilek. “Impact of Digital Transformation on the Energy Sector: A Review.” Algorithms 16, no. 4 (2023): 211. [CrossRef] [Google Scholar]
  14. Megías, D., Kuribayashi, M., Rosales, A., Cabaj, K., & Mazurczyk, W. (2022). Architecture of a fake news detection system combining digital watermarking, signal processing, and machine learning. Journal of Wireless Mobile Networks, Ubiquitous Computing, and Dependable Applications, 13(1), 33–55. [Google Scholar]
  15. Saravanan T., et.al Energy demand management motor control using multilevel inverter, Middle - East Journal of Scientific Research, V-20, I-12, PP:2613–2619, 2014. [Google Scholar]
  16. Pieters, W., Lukszo, Z., Hadziosmanovic, D., & van den Berg, J. (2014). Reconciling Malicious and Accidental Risk in Cyber Security. Journal of Internet Services and Information Security, 4(2), 4–26. [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.