全部文献期刊学位论文会议报纸专利标准年鉴图书|学者科研项目
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作者:Honglu Zhu , Xu Li , Qiao Sun ...
来源:[J].Energies(IF 1.844), 2015, Vol.9 (1)DOAJ
摘要:The power prediction for photovoltaic (PV) power plants has significant importance for their grid connection. Due to PV power’s periodicity and non-stationary characteristics, traditional power prediction methods based on linear or time series models are no longer applicabl...
作者:Xinnian Zheng , Lizy K. John , Andreas Gerstlauer
来源:[J].International Journal of Parallel Programming(IF 0.404), 2017, Vol.45 (6), pp.1488-1514Springer
摘要:Fast and accurate performance and power prediction is a key challenge in pre-silicon design evaluations during the early phases of hardware and software co-development. Performance evaluation using full-system simulation is prohibitively slow, especially with real world applicati...
作者:Yagang Zhang , Jingyun Yang , Kangcheng Wang ...
来源:[J].Energies(IF 1.844), 2015, Vol.8 (1), pp.475-489DOAJ
摘要:This paper considers the effect of nonlinear atmospheric disturbances on wind power prediction. A Lorenz system is introduced as an atmospheric disturbance model. Three new improved wind forecasting models combined with a Lorenz comprehensive disturbance are put forward in this s...
作者:Xiaohui Yuan , Qingxiong Tan , Xiaohui Lei ...
来源:[J].Energy(IF 3.651), 2017, Vol.129, pp.122-137Elsevier
摘要:Abstract(#br)Precise prediction of wind power can not only conduct wind turbine's operation, but also reduce the impact on power systems when wind energy is injected into the grid. A hybrid autoregressive fractionally integrated moving average and least square support vector mach...
作者:Cong Wang , Hongli Zhang , Wenhui Fan ...
来源:[J].Energy(IF 3.651), 2016, Vol.117, pp.259-271Elsevier
摘要:Abstract(#br)The accuracy of wind power prediction is important for assessing the security and economy of the system operation when wind power connects to the grids. However, multiple factors cause a long delay and large errors in wind power prediction. Hence, efficient wind power...
作者:Tianhong Liu , Haikun Wei , Kanjian Zhang
来源:[J].Applied Soft Computing Journal(IF 2.14), 2018Elsevier
摘要:Abstract(#br)Wind power prediction is important for smooth power generation from wind turbines. Due to the characteristics of volatility and indirectness of wind power, it is difficult to achieve high-precision prediction. In real world, the data collected from wind farms may be ...
作者:Ahmed E. Saleh , Mohamed S. Moustafa , Khaled M. Abo-Al-Ez ...
来源:[J].International Journal of Electrical Power and Energy Systems(IF 3.432), 2016, Vol.74, pp.384-395Elsevier
摘要:... The generated wind power has an intermittent nature which may affect power system stability and increase the risk of blackouts. Therefore, a prediction system for wind power generation is essential for optimum operation of a power system with a significant share of wind energ...
作者:M. Jabbari Ghadi , S. Hakimi Gilani , H. Afrakhte ...
来源:[J].International Journal of Electrical Power and Energy Systems(IF 3.432), 2014, Vol.63, pp.962-970Elsevier
摘要:Abstract(#br)Integration of wind power has a broad impact on power system operations, ranging from short-term system operations to long-term planning. The traditional deterministic unit commitment and economic dispatch algorithms that power generation operators are currently usin...
作者:Lin Ye , Yongning Zhao , Cheng Zeng ...
来源:[J].Renewable Energy(IF 2.989), 2017, Vol.101, pp.1067-1074Elsevier
摘要:Abstract(#br)Large-scale integration of wind energy into power systems may cause operational problems due to the stochastic nature of wind. A short-term wind power prediction model based on physical approach and spatial correlation is proposed to characterize the uncertainty and ...
作者:Cunbin Li , Shuaishuai Lin , Fangqiu Xu ...
来源:[J].Journal of Cleaner Production(IF 3.398), 2018Elsevier
摘要:Abstract(#br)In recent years, wind power industry has been developing rapidly as the wind resources are clean, cheap and inexhaustible. However, it is difficult to supply steady wind power generation due to the strong randomness, volatility and uncontrollability of wind energy. T...

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