Open Access
E3S Web Conf.
Volume 233, 2021
2020 2nd International Academic Exchange Conference on Science and Technology Innovation (IAECST 2020)
Article Number 01018
Number of page(s) 5
Section NESEE2020-New Energy Science and Environmental Engineering
Published online 27 January 2021
  1. Liu Y, Ye L, Qin H, Hong X, Ye J, Yin X. Monthly streamflow forecasting based on hidden Markov model and Gaussian Mixture Regression. J HYDROL. 2018; 561: 146-159. [CrossRef] [Google Scholar]
  2. Liu Y, Qin H, Zhang Z, Pei S, Jiang Z, Feng Z, et al. Probabilistic spatiotemporal wind speed forecasting based on a variational Bayesian deep learning model. APPL ENERG. 2020; 260: 114259. [CrossRef] [Google Scholar]
  3. Liu Y, Qin H, Zhang Z, Pei S, Wang C, Yu X, et al. Ensemble spatiotemporal forecasting of solar irradiation using variational Bayesian convolutional gate recurrent unit network. APPL ENERG. 2019; 253: 113596. [CrossRef] [Google Scholar]
  4. Zhang Z, Qin H, Li J, Liu Y, Yao L, Wang Y, et al. Short-term optimal operation of wind-solar-hydro hybrid system considering uncertainties. ENERG CONVERS MANAGE. 2020; 205: 112405. [CrossRef] [Google Scholar]
  5. Basu M. An interactive fuzzy satisfying method based on evolutionary programming technique for multiobjective short-term hydrothermal scheduling. ELECTR POW SYST RES. 2004; 69: 277-285. [CrossRef] [Google Scholar]
  6. Chiang C. Optimal economic emission dispatch of hydrothermal power systems. INT J ELEC POWER. 2007; 29: 462-469. [CrossRef] [Google Scholar]
  7. Mandal KK, Chakraborty N. Short-term combined economic emission scheduling of hydrothermal power systems with cascaded reservoirs using differential evolution. ENERG CONVERS MANAGE. 2009; 50: 97-104. [CrossRef] [Google Scholar]
  8. Qin H, Zhou J, Lu Y, Wang Y, Zhang Y. Multi-objective differential evolution with adaptive Cauchy mutation for short-term multi-objective optimal hydro-thermal scheduling. ENERG CONVERS MANAGE. 2010;51: 788-794. [CrossRef] [Google Scholar]
  9. Feng Z, Niu W, Cheng C. Multi-objective quantum-behaved particle swarm optimization for economic environmental hydrothermal energy system scheduling. ENERGY. 2017; 131: 165-178. [CrossRef] [Google Scholar]
  10. Guanjun, Liu, Hui, Qin, Rui, Tian, et al. Non-dominated sorting culture differential evolution algorithm for multi-objective optimal operation of Wind-Solar-Hydro complementary power generation system. 2019. p. 88-94. [Google Scholar]
  11. Liu Y, Qin H, Zhang Z, Yao L, Wang C, Mo L, et al. A region search evolutionary algorithm for many-objective optimization. INFORM SCIENCES. 2019; 488: 19-40. [CrossRef] [Google Scholar]

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