Open Access
Issue |
E3S Web Conf.
Volume 245, 2021
2021 5th International Conference on Advances in Energy, Environment and Chemical Science (AEECS 2021)
|
|
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Article Number | 01057 | |
Number of page(s) | 5 | |
Section | Energy Development and Utilization and Energy-Saving Technology Application | |
DOI | https://doi.org/10.1051/e3sconf/202124501057 | |
Published online | 24 March 2021 |
- Arani LA, Sadoughi F, Langarizadeh M. An expert system to diagnose pneumonia using fuzzy logic[J]. International Journal of Intelligent Systems, 2019, 27 (2):103–107. [Google Scholar]
- DONG Yuhong, FU Zetian, PENG Yaoqi, et al. Precision fertilization method of field crops based on the wavelet-BP neural network in China[J]. Journal of Cleaner Production, 2019, 27 (2):103–107. [Google Scholar]
- YU Sheng, ZOU Hongbo, YU Fan, et al. Application of fuzzy neural network in power system short- term load forecasting[J]. Smart Grid, 2018, 46 (11):88-91, 97. [Google Scholar]
- YUE Youjun, LIU Yinghan, ZHAO Hui, et al. Shortterm electric load forecasting based on CEEMDAN-SE and DBN[J/OL]. Electrical measurement and instrumentation. [2019-11- 24]. http://kns.cnki.net/kcms/detail/23.1202.TH.2019 0905.1700.004.html. [Google Scholar]
- DONG Zihan. Regional power network load forecasting based on chaotic time series[J]. Power System and Clean Energy, 2019, 35 (5):38–41. [Google Scholar]
- ZHOU Xinghua, GENG Juncheng, DU Songhuai, et al. A summer short- term load forecasting method for temperature sensitive users considering demand response [J]. Power System and Clean Energy, 2019, 35 (4):16-22. [Google Scholar]
- XU Qing, ZHOU Chao, ZHAO Shuangshuang, et al. Study on short-term electric load forecasting method based on machine learning[J/OL]. Electrical Measurement and Instrumentation. [2019-11-24]. http://kns.cnki.net/kcms/detail/23.1202.TH.20191104.1614.018.html。 [Google Scholar]
- CHEN Linghui. Research on load balancing and decentralized dispatching method of renewable energy power system[J]. Power System and Clean Energy, 2019, 35 (12):60–66. [Google Scholar]
- HU Wei, HU Yawei, YANG Feng. A wind power prediction neural network model based on improved flower pollination algorithm[J]. Journal of Systems Management, 2019, 28 (5): 934-940. [Google Scholar]
- TAO Zhiyong, CUI Xinxin. A hybrid improved flower pollination algorithm[J]. Transducer and Microsystems, 2019, 38 (10):139–142, 145. [Google Scholar]
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