ENCODERS

作品数：24被引量：37H指数：3
导出分析报告
相关领域：电子电信自动化与计算机技术更多>>
相关作者：张功更多>>
相关机构：华中师范大学南京邮电大学更多>>
相关期刊：《Journal of Automation and Intelligence》《Chinese Journal of Mechanical Engineering》《Language and Semiotic Studies》《Computers, Materials & Continua》更多>>
相关基金：国家自然科学基金中国博士后科学基金湖北省自然科学基金更多>>
-
在结果中检索

检索结果分析

结果分析中...
选择条件：
  • 期刊=Energy and AIx
共 条 记 录，以下是1-2
全选清除导出
参考文献引证文献引用追踪
视图：
排序：
Data-driven strategy for state of health prediction and anomaly detection in lithium-ion batteries
《Energy and AI》2024年第3期419-431,共13页Slimane Arbaoui Ahmed Samet Ali Ayadi Tedjani Mesbahi Romuald Boné 
funding from the French National Research Agency(ANR)under the project“ANR-22-CE92-0007-02”;support was provided by the European Union through the Horizon Europe program and the innovation program under“GAP-101103667”.
This study addresses the crucial challenge of monitoring the State of Health(SOH)of Lithium-Ion Batteries(LIBs)in response to the escalating demand for renewable energy systems and the imperative to reduce CO2 emissio...
关键词：Lithium-ion batteries State of health LSTM CNN Auto-encoders .Pattern mining Explainable artificial intelligence 
A VAE-Bayesian deep learning scheme for solar power generation forecasting based on dimensionality reduction被引量：1
《Energy and AI》2023年第4期319-328,共10页Devinder Kaur Shama Naz Islam MdApel Mahmud Md.Enamul Haque Adnan Anwar 
The advancements in distributed generation(DG)technologies such as solar panels have led to a widespread integration of renewable power generation in modern power systems.However,the intermittent nature of renewable e...
关键词：Bayesian deep learning Bidirectional long-short term memory Dimensionality reduction Generation forecasting Renewable power generation Variational auto-encoders 
全选清除导出
共1页<1>
检索报告 对象比较 聚类工具 使用帮助 返回顶部