Open Access
| Issue |
E3S Web Conf.
Volume 252, 2021
2021 International Conference on Power Grid System and Green Energy (PGSGE 2021)
|
|
|---|---|---|
| Article Number | 01057 | |
| Number of page(s) | 5 | |
| Section | Power Control Technology and Smart Grid Application | |
| DOI | https://doi.org/10.1051/e3sconf/202125201057 | |
| Published online | 23 April 2021 | |
- Zhang Guanying, Xian Yiming, Ge Leijiao, et al. Medium and long-term load forecasting model based on Verhulst-SVM under new normal economy [J]. Electrical Measurement & Instrumentation, 2019, 56(1): 102–107. [Google Scholar]
- Xie Wei, Zhao Qi, Guo Naiwang, et al. Application of the improved parallel fuzzy kernel C-means clustering algorithm in power load forecasting [J]. Electrical Measurement & Instrumentation, 2019, 56(11): 49–54. [Google Scholar]
- Li Wei, Yan Ning, Zhang Zhengang. Study on long-term load forecasting of MIX-SVM based on rough set theory[J]. Power System Protection and Control, 2010, 38(13): 31–34. [Google Scholar]
- Cui Herui, Mu Yupei, Peng Xu. Medium-term Power Load Forecasting Based on SARIMA Model with HP Filter[J]. Journal of North China Electric Power University, 2016, 43(4): 79–86. [Google Scholar]
- Dai Xiuju, Shu Zhibiao. Implied Volatility Forecast Based on Nonparametric Regression Model[J]. Journal of Fuzhou University, 2018, 46(2): 156–162. [Google Scholar]
- Zhao Binbin, Wang Ying, Wang Bin, et al. Photovoltaic power prediction in distribution networkbased on ARIMA model time series[J]. Renewable Energy, 2019, 37(6): 820–823. [Google Scholar]
- Yu Xiaoxiao. Study on the relationship between power consumption and economic growth and short-term forecast of electricity demand in Anhui Province[D]. Hefei: Graduate School of Anhui University, 2017. [Google Scholar]
- Zhang Zhi, Du Yanling, Cui Huijun, et al. Intelligent mid-long electricity load forecast method considering associated factors[J]. Power System Protection and Control, 2019, 47(2): 24–30. [Google Scholar]
- Xu Liang, Sun Tao, Xu Jian, et al. Mid- and long-term daily load curve forecasting based on functional nonparametric regression model[J]. Electric Power Automation Equipment, 2015, 35(7): 89–94. [Google Scholar]
- Li Pei, Peng Sijun. Application of New Combination Weight to Combination Forecasting Model[J]. Journal of Henan University of Science and Technology(Natural Science), 2018, 39(2): 87–93. [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.