Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Shaoqian Pei"'
Autor:
Jie Li, Hui Qin, Zhendong Zhang, Liqiang Yao, Eid Gul, Zhiqiang Jiang, Yongqiang Wang, Li Mo, Shaoqian Pei, Longjun Zhu
Publikováno v:
IEEE Access, Vol 7, Pp 161949-161962 (2019)
Obtaining optimal operation rules for cascade reservoirs is crucial for making the most of the comprehensive benefits of reservoirs. However, the operation of cascade reservoirs is generally complex, which involves with challenges including various d
Externí odkaz:
https://doaj.org/article/45fa5b2598b54075b1ddacb810b30ded
Publikováno v:
Energies, Vol 13, Iss 16, p 4121 (2020)
Short-term load forecasting (STLF) plays an important role in the economic dispatch of power systems. Obtaining accurate short-term load can greatly improve the safety and economy of a power grid operation. In recent years, a large number of short-te
Externí odkaz:
https://doaj.org/article/e8f572ebd4ce4965b1cfcd7fc39dcc24
Autor:
Hui Qin, Zhendong Zhang, Liqiang Yao, Jie Li, Pusheng Li, Jianzhong Zhou, Shaoqian Pei, Yongqi Liu, Yongqiang Wang, Chao Wang
Publikováno v:
Renewable Energy. 170:92-106
With the increasing environmental problems caused by the use of traditional fossil energy, renewable clean energy has gradually attracted attention. Owing to uncertain components such as solar radiation intensity, wind speed, and power load, it bring
Autor:
Shuo Ouyang, Hui Qin, Liqiang Yao, Zhong-kai Feng, Yongqi Liu, Shaoqian Pei, Zhiqiang Jiang, Zhendong Zhang, Jianzhong Zhou
Publikováno v:
Journal of Water Resources Planning and Management. 147
Accurate calculation of power generation output is crucial to the operation and management of reservoir. The calculation of power generation output is related to the downstream water level,...
Autor:
Chao Wang, Tailai Yi, Jianzhong Zhou, Liqiang Yao, Yongqiang Wang, Zhendong Zhang, Zhiqiang Jiang, Hui Qin, Shaoqian Pei, Yongqi Liu
Publikováno v:
Energy Conversion and Management. 196:779-792
Obtaining accurate wind speed forecast result plays a decisive role in ensuring the reliable operation of the power system integrated with large-scale wind power. Deep learning methods are increasingly being used to predict wind speed, which have rel
Autor:
Shaoqian Pei, Liqiang Yao, Li Qingqing, Yongqi Liu, Hui Qin, Yongqiang Wang, Zhendong Zhang, Jie Li
Publikováno v:
Energy Conversion and Management. 192:37-51
Obtaining high-precision wind speed prediction results is very beneficial to the utilization of wind energy and the operation of the power system. The purpose of this study is to develop a novel model for wind speed causality processing and short-ter
Publikováno v:
Energies, Vol 13, Iss 4121, p 4121 (2020)
Energies; Volume 13; Issue 16; Pages: 4121
Energies; Volume 13; Issue 16; Pages: 4121
Short-term load forecasting (STLF) plays an important role in the economic dispatch of power systems. Obtaining accurate short-term load can greatly improve the safety and economy of a power grid operation. In recent years, a large number of short-te
Autor:
Shaoqian Pei, Liqiang Yao, Yongqiang Wang, Li Mo, Hui Qin, Eid Gul, Zhiqiang Jiang, Jie Li, Zhendong Zhang, Zhu Longjun
Publikováno v:
IEEE Access, Vol 7, Pp 161949-161962 (2019)
Obtaining optimal operation rules for cascade reservoirs is crucial for making the most of the comprehensive benefits of reservoirs. However, the operation of cascade reservoirs is generally complex, which involves with challenges including various d
Autor:
Yongqiang Wang, Shaoqian Pei, Jianzhong Zhou, Yongqi Liu, Jie Li, Zhendong Zhang, Hui Qin, Liqiang Yao, Chao Wang
Publikováno v:
Energy Conversion and Management. 205:112405
Due to the deterioration of non-renewable energy resources, the operation of wind-solar-hydro hybrid systems has become a prominent research topic. However, owing to the uncertainties in such a hybrid system, such as those in wind speed, solar radiat
Autor:
Shaoqian Pei, Jianzhong Zhou, Yongqi Liu, Zhendong Zhang, Hui Qin, Zhiqiang Jiang, Zhong-kai Feng
Publikováno v:
Applied Energy. 260:114259
Reliable and accurate probabilistic forecasting of wind speed is of vital importance for the utilization of wind energy and operation of power systems. In this paper, a probabilistic spatiotemporal deep learning model for wind speed forecasting is pr