Open Access
| Issue |
MATEC Web Conf.
Volume 246, 2018
2018 International Symposium on Water System Operations (ISWSO 2018)
|
|
|---|---|---|
| Article Number | 01058 | |
| Number of page(s) | 5 | |
| Section | Main Session: Water System Operations | |
| DOI | https://doi.org/10.1051/matecconf/201824601058 | |
| Published online | 07 December 2018 | |
- Zambelli M S, Luna I, Soares S. Long-term hydropower scheduling based on deterministic nonlinear optimization and annual inflow forecasting models[C]// PowerTech, 2009 IEEE Bucharest. IEEE, 2009:1-8. [Google Scholar]
- Kalteh A M. Monthly river flow forecasting using artificial neural network and support vector regression models coupled with wavelet transform[J]. Computers & Geosciences, 2013, 54(4):1-8. [CrossRef] [Google Scholar]
- Wang W C, Kwokwing C, Xu D M, et al. Improving forecasting accuracy of annual runoff time series using ARIMA based on EEMD decomposition. Water Resources Management, 2015, 29(8): 2655-75. [CrossRef] [Google Scholar]
- Xie M, Zhou J, Li C, et al. Long-term generation scheduling of Xiluodu and Xiangjiaba cascade hydro plants considering monthly streamflow forecasting error[J]. Energy Conversion & Management, 2015, 105:368-376. [Google Scholar]
- Wang B, Zhang J. Risk analysis on classified forecast dispatching mode based on stochastic simulative method[J]. Journal of Hydroelectric Engineering, 2009, 28(2):8-13. [Google Scholar]
- Wu J, Zhou J, Chen L, et al. Coupling Forecast Methods of Multiple Rainfall–Runoff Models for Improving the Precision of Hydrological Forecasting[J]. Water Resources Management, 2015, 29(14):5091-5108. [CrossRef] [Google Scholar]
- Zhu S, Zhou J, Ye L, et al. Streamflow estimation by support vector machine coupled with different methods of time series decomposition in the upper reaches of Yangtze River, China[J]. Environmental Earth Sciences, 2016, 75(6):531. [CrossRef] [Google Scholar]
- Ding X, Zhou J, Lu C, et al. Approach to annual runoff classification based on fuzzy set theory and set pair analysis[J]. Journal of Hydroelectric Engineering, 2015, 34(5):4-9. (in chinese) [Google Scholar]
- Li C, Zhou J, Ouyang S, et al. Improved decomposition–coordination and discrete differential dynamic programming for optimization of large-scale hydropower system[J]. Energy Conversion & Management, 2014, 84:363-373. [Google Scholar]
- Zhang R, Zhou J, Yuan L, Zhang Y (2013). Study on dry season operation of cascade reservoir in Jinsha River. Journal of Hydraulic Engineering, 44(12),1399-1408. (in chinese) [Google Scholar]
- Wang C, Zhou J, Peng L, et al. Long-term scheduling of large cascade hydropower stations in Jinsha River, China[J]. Energy Conversion & Management, 2015, 90(2015):476-487. [CrossRef] [Google Scholar]
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