Open Access
| Issue |
E3S Web Conf.
Volume 261, 2021
2021 7th International Conference on Energy Materials and Environment Engineering (ICEMEE 2021)
|
|
|---|---|---|
| Article Number | 01027 | |
| Number of page(s) | 5 | |
| Section | Energy Development and Energy Storage Technology Research and Development | |
| DOI | https://doi.org/10.1051/e3sconf/202126101027 | |
| Published online | 21 May 2021 | |
- S. Chang, J. Zhuo, S. Meng, et al. Clean Coal Technologies in China: Current Status and Future Perspectives[J]. Engineering, 2(4), 447-459 (2016) [Google Scholar]
- L. Zheng, H. Zhou, K. Cen, et al. A comparative study of optimization algorithms for low NOx combustion modification at a coal-fired utility boiler[J]. Expert Systems with Applications, 36(2), 2780-2793 (2008) [Google Scholar]
- Y. Shen, X. Gao, M. Zhang, Prediction of NOx emission in boiler based on on-line operation data [J]. Electric Power, 44 (12), 64-67 (2011) [Google Scholar]
- W. Xu, C. Taihua, The balanced model and optimization of NOx emission and boiler efficiency at a coal-fired utility boiler[C] // IEEE Conference Anthology. IEEE (2013) [Google Scholar]
- W. Zheng, C. Wang, Y. Yang, et al. Multi-objective combustion optimization based on data-driven hybrid strategy[J]. Energy, 191, 116478 (2019) [Google Scholar]
- Y. Shi, W. Zhong, X. Chen, et al. Combustion optimization of ultra supercritical boiler based on artificial intelligence[J]. Energy, 170 (MAR. 1), 804-817 (2019) [Google Scholar]
- Y. Lu, X. Peng, K. Zhao. Hybrid Modeling Optimization of Thermal Efficiency and NOx Emission of Utility Boiler[J]. Proceedings of the CSEE, 31 (26), 16-22 (2011) [Google Scholar]
- X. Huang, H. Wang, Modelling of Combustion Process Characteristics of a 600 MW Boiler by T-S Fuzzy Neural Networks[C] // International Conference on Energy & Environment Technology. IEEE, 2009. [Google Scholar]
- E. A. Bayrak, P. Kırcı and T. Ensari, Comparison of Machine Learning Methods for Breast Cancer Diagnosis[C]// Scientific Meeting on ElectricalElectronics & Biomedical Engineering and Computer Science (EBBT), 1-3 (2019) [Google Scholar]
- P. R. Hegde, M. M. Shenoy and B. H. Shekar, Comparison of Machine Learning Algorithms for Skin Disease Classification Using Color and Texture Features [C]// International Conference on Advances in Computing. Communications and Informatics (ICACCI), 1825-1828 (2018) [Google Scholar]
- T. Chen, C. Guestrin, XGBoost: A Scalable Tree Boosting System[J]. 2016. [Google Scholar]
- Y. Zhang, Y. Ding, H. Zhang, Z. Wu, Study on Optimized Boiler Operation Control for Harmonized Coordination Between Economic Efficiency and Environmental Protection[J]. Journal of Chinese Society of Power Engineering, 5, 676-679+706 (2005) [Google Scholar]
- C. Xu, J. Lu, Y. Zheng, X. Feng, A Boiler Combustion Global Optimization on Efficiency and Low NOx Emissions Object[J]. Proceedings of the CSEE, 4, 46-50 (2006) [Google Scholar]
- P. Duan, K. Xie, T. Guo, et al. Short-Term Load Forecasting for Electric Power Systems Using the PSO-SVR and FCM Clustering Techniques[J]. Energies, 4(1), 173-184 (2011) [Google Scholar]
- X. Xu, Q. Chen, M. Ren, et al. Combustion Optimization for Coal Fired Power Plant Boilers Based on Improved Distributed ELM and Distributed PSO[J]. Energies, 12, 6 (2019) [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.