Open Access
| Issue |
E3S Web Conf.
Volume 615, 2025
2024 International Conference on Environmental Protection and Pollution Control (EPPC 2024)
|
|
|---|---|---|
| Article Number | 01012 | |
| Number of page(s) | 8 | |
| Section | Research on Environment and Ecosystem Optimisation and Management | |
| DOI | https://doi.org/10.1051/e3sconf/202561501012 | |
| Published online | 14 February 2025 | |
- C., M. Rocco S, and José Ali Moreno. “System reliability evaluation using Monte Carlo & support vector machine.” Reliability and Maintainability Symposium, 2003. Annual IEEE, 2003. [Google Scholar]
- Cheng-Jie, N. I., et al. “Optimal Island Search of Distribution Network with DGs Based onRecursive Sub-Problem Tree Algorithm.” Electric Power, 2014. [Google Scholar]
- Panteli, Mathaios, et al. “Boosting the Power Grid Resilience to Extreme Weather Events Using Defensive Islanding.” IEEE Transactions on Smart Grid (2016):1–10. [Google Scholar]
- Daubechies, I., et al. “Nonlinear Approximation and (Deep) ReLU Networks.” Constructive approximation: An international journal for approximations and expansions 1 (2022):55. [Google Scholar]
- Xiaodan Yu, et al. “A Brief Review to Integrated Energy System and Energy Internet” Transactions of China Electrotechnical Society (2016). [Google Scholar]
- Yan, and Jinyue. “Handbook of Clean Energy Systems || An Institutional Perspective on the Low Carbon Transition.” (2015):1–22. [Google Scholar]
- Xu, Xiandong, et al. “A reliability assessment approach for the urban energy system and its application in energy hub planning.” IEEE (2015):15. [Google Scholar]
- Li, Gengfeng, et al. “Researches on the Reliability Evaluation of Integrated Energy SystemBased on Energy Hub.” China International Conference on Electricity Distribution 2015. [Google Scholar]
- Pan, Qiujing, and D. Dias. “An efficient reliability method combining adaptive SupportVector Machine and Monte Carlo Simulation.” Structural Safety 67(2017):85–95. [CrossRef] [Google Scholar]
- Neto, A. M, et al. “Construction and Application of Bayesian Network in Early Diagnosis ofAlzheimer Disease’s System.” IEEE/ICME International Conference on Complex MedicalEngineering IEEE, 2007. [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.