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An improved SSA-BiLSTM-based short-term irradiance prediction model via sky images feature extraction

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成果类型:
期刊论文
作者:
Xie, Qiyue;Ma, Lin;Liu, Yao;Fu, Qiang;Shen, Zhongli;...
通讯作者:
Xie, QY
作者机构:
[Liu, Yao; Xie, Qiyue; Shen, Zhongli; Ma, Lin; Xie, QY; Fu, Qiang] Changsha Univ Sci Technol, Sch Elect & Informat Engn, Changsha 410114, Peoples R China.
[Wang, Xiaoli] Cent South Univ, Sch Automat, Changsha 410083, Peoples R China.
通讯机构:
[Xie, QY ] C
Changsha Univ Sci Technol, Sch Elect & Informat Engn, Changsha 410114, Peoples R China.
语种:
英文
关键词:
Ultra-short-term prediction;Global horizontal irradiance;Sky images;Time series decomposition;Sparrow search algorithm
期刊:
Renewable Energy
ISSN:
0960-1481
年:
2023
卷:
219
页码:
119507
基金类别:
CRediT authorship contribution statement Qiyue Xie: Investigation, Conceptualization, acquisition, Writing – review & editing, Methodology, Supervision. Lin Ma: Investigation, Methodology, Validation, Writing – original draft, Writing – review & editing. Yao Liu: Investigation, Methodology, Validation. Qiang Fu: Project administration, Writing – review & editing. Zhongli Shen: Project, Resources, Validation. Xiaoli Wang: Acquisition, acquisition.
机构署名:
本校为第一且通讯机构
院系归属:
电气与信息工程学院
摘要:
The development and utilization of solar energy has become an important strategic decision for the sustainable development of many countries. Short-term variations in solar irradiation have an impact on the safety and stability of photovoltaic and solar thermal power plants, therefore, the development and accuracy of solar irradiance prediction models have received much attention. This paper proposes a short-term irradiance prediction model based on mixed intelligent optimization algorithm and deep learning algorithm that integrates features of various forms of information. First, the sequence...

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