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基于二次分解策略和BiLSTM的短期碳排放预测模型设计
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作者 张克英 孟拓宁 +1 位作者 刘人境 燕欣宇 《电子设计工程》 2024年第17期6-10,共5页
针对现有短期碳排放预测模型残余噪声大、忽略全局信息的特性导致预测精度不高的问题,提出一种基于二次分解策略和双向长短期记忆神经网络(BiLSTM)的新的短期碳排放预测模型。利用改进的自适应噪声完全集成经验模态分解(ICEEMDAN)方法... 针对现有短期碳排放预测模型残余噪声大、忽略全局信息的特性导致预测精度不高的问题,提出一种基于二次分解策略和双向长短期记忆神经网络(BiLSTM)的新的短期碳排放预测模型。利用改进的自适应噪声完全集成经验模态分解(ICEEMDAN)方法和二次分解思想,将原始时间序列分解为多个本征模态函数(imfs);利用鲸鱼优化算法(WOA)优化的双向长短期记忆神经网络(BiLSTM)对所有函数序列进行预测,并将每个函数序列的预测值累加得到最终结果。实验结果显示,该文提出模型的R2达到0.999,MAPE和RMSE分别为1.3×10-3和97.4,优于其他对比模型,有效降低了预测误差。 展开更多
关键词 短期碳排放预测 二次分解策略 BiLSTM iceEMDAN分解法 鲸鱼算法
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Seasonal and inter-annual variations of Arctic cyclones and their linkage with Arctic sea ice and atmospheric teleconnections 被引量:4
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作者 WEI Lixin QIN Ting LI Cheng 《Acta Oceanologica Sinica》 SCIE CAS CSCD 2017年第10期1-7,共7页
The seasonal and inter-annual variations of Arctic cyclone are investigated. An automatic cyclone tracking algorithm developed by University of Reading was applied on the basis of European Center for Medium-range Weat... The seasonal and inter-annual variations of Arctic cyclone are investigated. An automatic cyclone tracking algorithm developed by University of Reading was applied on the basis of European Center for Medium-range Weather Forecasts(ECMWF) ERA-interim mean sea level pressure field with 6 h interval for 34 a period. The maximum number of the Arctic cyclones is counted in winter, and the minimum is in spring not in summer.About 50% of Arctic cyclones in summer generated from south of 70°N, moving into the Arctic. The number of Arctic cyclones has large inter-annual and seasonal variabilities, but no significant linear trend is detected for the period 1979–2012. The spatial distribution and linear trends of the Arctic cyclones track density show that the cyclone activity extent is the widest in summer with significant increasing trend in CRU(central Russia)subregion, and the largest track density is in winter with decreasing trend in the same subregion. The linear regressions between the cyclone track density and large-scale indices for the same period and pre-period sea ice area indices show that Arctic cyclone activities are closely linked to large-scale atmospheric circulations, such as Arctic Oscillation(AO), North Atlantic Oscillation(NAO) and Pacific-North American Pattern(PNA). Moreover,the pre-period sea ice area is significantly associated with the cyclone activities in some regions. 展开更多
关键词 Arctic cyclones automated detection and tracking algorithm large-scale climate indices sea ice area index regression analysis
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