Zobrazeno 1 - 10
of 63
pro vyhledávání: '"Xiaosheng Peng"'
Publikováno v:
Wind Energy, Vol 27, Iss 7, Pp 733-744 (2024)
Abstract Wind power prediction for newly built wind farms is usually faced with the problem of no sufficient historical data. To efficiently extract the useful features from related wind farms, a novel transfer learning method based on temporal convo
Externí odkaz:
https://doaj.org/article/9368344074134bc29ce5d6e7f2d8e744
Publikováno v:
Wind Energy, Vol 26, Iss 10, Pp 1066-1081 (2023)
Abstract Wind power prediction (WPP) has an important impact on the security and reliability operations of the power grid. The major difficulty in power prediction of new, expanded, or reconstructed wind farms is the lack of operational data, which l
Externí odkaz:
https://doaj.org/article/42ec289564cf44b09abef1168c796483
Publikováno v:
Wind Energy, Vol 25, Iss 9, Pp 1610-1625 (2022)
Abstract Wind power prediction (WPP) is extremely important in promoting the power grid's consumption of wind power. To improve the accuracy of WPP, a three‐stage multiensemble short‐term WPP method based on ensemble learning and deep learning is
Externí odkaz:
https://doaj.org/article/ab317196d1cd4e799ed4fc38de2543d0
Publikováno v:
IEEE Access, Vol 10, Pp 123595-123604 (2022)
Wind power prediction (WPP) is necessary to the safe operation and economic dispatch of power systems. In order to improve the prediction accuracy of WPP, in this paper we propose a three-step model named SDAE-SVR-BA to be applied in short-term WPP b
Externí odkaz:
https://doaj.org/article/586005aa63424fbcb4d401df2e9c8da3
Autor:
Xiaosheng Peng, Qiyou Xu, Hongyu Wang, Jianxun Lang, Wenze Li, Tao Cai, Shanxu Duan, Yuying Xie, Chaoshun Li
Publikováno v:
IEEE Access, Vol 9, Pp 61739-61751 (2021)
Interval prediction is essential to improve the scheduling and planning of wind power systems. In this study, a novel lower upper bound estimation model based on the gated recurrent unit was proposed for the clustered wind power forecasting. Differen
Externí odkaz:
https://doaj.org/article/4fe5c2c9ab47412abf27db199fbefab0
Publikováno v:
IEEE Access, Vol 9, Pp 89079-89092 (2021)
Solar radiation intensity is intermittent and uncertain under the influence of meteorological conditions. Clustering them and obtaining high-precision and reliable probabilistic forecasting results play a vital role in the planning and management of
Externí odkaz:
https://doaj.org/article/31be382d737f42b0886669d65ba82d45
Publikováno v:
Energies, Vol 14, Iss 11, p 3086 (2021)
In this paper, a hybrid model that considers both accuracy and efficiency is proposed to predict photovoltaic (PV) power generation. To achieve this, improved forward feature selection is applied to obtain the optimal feature set, which aims to remov
Externí odkaz:
https://doaj.org/article/4325bc625ec54f5a9e2f21a4959437d3
Publikováno v:
Energies, Vol 14, Iss 7, p 1894 (2021)
Wind power prediction (WPP) of wind farm clusters is important to the safe operation and economic dispatch of the power system, but it faces two challenges: (1) The dimensions of the input parameters for WPP of wind farm clusters are very high so tha
Externí odkaz:
https://doaj.org/article/8fdef924569b4b9dbde7de06d3824cda
Autor:
Hongyu Wang, Jianfeng Che, Lie Dong, Yinhuan Li, Xiaosheng Peng, Wenze Li, Chun Liu, Fan Yang, Kai Cheng, QiyouXU Xu, Bo Wang
Publikováno v:
IEEE Transactions on Industry Applications. 57:6375-6384
Wind power prediction (WPP) has an important impact on the security and reliability operation of power grid after a large amount of wind power integration into the system. There are two main challenges in WPP: 1) Both numerical weather prediction(NWP
Publikováno v:
2022 China International Conference on Electricity Distribution (CICED).