为解决光伏序列的强噪音干扰以及单一模型在光伏功率预测方面精度偏低和泛化性较差的问题,提出了一种基于特征优化和混合改进灰狼算法优化双向长短时记忆网络(bi-directional long short-term memory,BiLSTM)的短期光伏功率预测方法。首...为解决光伏序列的强噪音干扰以及单一模型在光伏功率预测方面精度偏低和泛化性较差的问题,提出了一种基于特征优化和混合改进灰狼算法优化双向长短时记忆网络(bi-directional long short-term memory,BiLSTM)的短期光伏功率预测方法。首先,运用互信息算法进行输入数据的变量选择,以消除冗余变量。其次,通过互补集合经验模态分解和改进的小波阈值算法对筛选后的数据进行特征重构,旨在降低数据中的噪声干扰并完成输入变量的特征优化。随后,结合改进的Tent混沌映射、非线性递减因子、动态权重策略和差分进化算法对标准灰狼优化算法进行混合优化,以确定双向长短期记忆神经网络的最优超参数组合,并引入注意力机制以挖掘数据中的关键时序信息,最终构建出一种新型的短期光伏功率预测模型。仿真实验表明,相较于最小二乘支持向量机、长短期记忆网络和双向长短期记忆网络,所提模型在晴天、多云、阴天和降雨等不同工况下的均方根误差平均分别降低了12.45%、7.95%和5.37%,显示出优秀的预测性能、良好的泛化能力和潜在的工程应用价值。展开更多
The photosynthetic characteristics of three excellent fig cultivars introduced, Branswick, Qingpi and Xinjiang Zaohuang, were compared in the paper, in order to provide reference for the cultivation and breeding of di...The photosynthetic characteristics of three excellent fig cultivars introduced, Branswick, Qingpi and Xinjiang Zaohuang, were compared in the paper, in order to provide reference for the cultivation and breeding of different fig cultivars in Tibet. The daily variation of photosynthetic parameters of the three excellent fig cultivars, Branswick, Qingpi and Xinjiang Zaohuang, which were introduced and cultivated by XiZang Agriculture and Animal Husbandry College in Bayi District, Nyingchi City, Tibet, were measured and compared. The results showed that the net photosynthetic rates (Pn) of three fig cultivars were Qingpi > Branswick > Xinjiang Zaohuang, and the daily variation curves of net photosynthetic rate were all of unimodal pattern. The daily variation curves of transpiration rate (Tr), water utilization efficiency (WUE) and efficiency for solar energy utilization (Pn/Par) of different fig cultivars showed unimodal pattern;the daily variation curve of intercellular CO2 content (Ci) showed decline pattern;the daily variation curve of stomatal conductance (Gs) showed bimodal pattern;Pn had extremely positive correlation with Tr, WUE, Gs, Par, Pn/Par and Ta.展开更多
基于Web of Science核心数据库,借助文献分析软件CiteSpace对1953—2023年的聚对苯二甲酸乙二醇酯(PET)结晶研究成果进行了可视化分析,分析了作者、国家、机构、关键词等合作网络,揭示了PET结晶研究的知识结构和发展演变。结果表明:PET...基于Web of Science核心数据库,借助文献分析软件CiteSpace对1953—2023年的聚对苯二甲酸乙二醇酯(PET)结晶研究成果进行了可视化分析,分析了作者、国家、机构、关键词等合作网络,揭示了PET结晶研究的知识结构和发展演变。结果表明:PET结晶研究当前已进入相对稳定阶段,但合作网络整体比较分散,美国、中国是研究的中坚力量,中国科学院是影响力最大的研究机构;早期的研究偏向PET基础性能分析,后期的研究偏向PET的功能化制备;PET的相结构、解聚、表征方法等是PET结晶研究的主要内容。展开更多
文摘为解决光伏序列的强噪音干扰以及单一模型在光伏功率预测方面精度偏低和泛化性较差的问题,提出了一种基于特征优化和混合改进灰狼算法优化双向长短时记忆网络(bi-directional long short-term memory,BiLSTM)的短期光伏功率预测方法。首先,运用互信息算法进行输入数据的变量选择,以消除冗余变量。其次,通过互补集合经验模态分解和改进的小波阈值算法对筛选后的数据进行特征重构,旨在降低数据中的噪声干扰并完成输入变量的特征优化。随后,结合改进的Tent混沌映射、非线性递减因子、动态权重策略和差分进化算法对标准灰狼优化算法进行混合优化,以确定双向长短期记忆神经网络的最优超参数组合,并引入注意力机制以挖掘数据中的关键时序信息,最终构建出一种新型的短期光伏功率预测模型。仿真实验表明,相较于最小二乘支持向量机、长短期记忆网络和双向长短期记忆网络,所提模型在晴天、多云、阴天和降雨等不同工况下的均方根误差平均分别降低了12.45%、7.95%和5.37%,显示出优秀的预测性能、良好的泛化能力和潜在的工程应用价值。
基金Sponsored by National Innovative Experimental Training Program for College Students(20181069317)Landscape Specialty
文摘The photosynthetic characteristics of three excellent fig cultivars introduced, Branswick, Qingpi and Xinjiang Zaohuang, were compared in the paper, in order to provide reference for the cultivation and breeding of different fig cultivars in Tibet. The daily variation of photosynthetic parameters of the three excellent fig cultivars, Branswick, Qingpi and Xinjiang Zaohuang, which were introduced and cultivated by XiZang Agriculture and Animal Husbandry College in Bayi District, Nyingchi City, Tibet, were measured and compared. The results showed that the net photosynthetic rates (Pn) of three fig cultivars were Qingpi > Branswick > Xinjiang Zaohuang, and the daily variation curves of net photosynthetic rate were all of unimodal pattern. The daily variation curves of transpiration rate (Tr), water utilization efficiency (WUE) and efficiency for solar energy utilization (Pn/Par) of different fig cultivars showed unimodal pattern;the daily variation curve of intercellular CO2 content (Ci) showed decline pattern;the daily variation curve of stomatal conductance (Gs) showed bimodal pattern;Pn had extremely positive correlation with Tr, WUE, Gs, Par, Pn/Par and Ta.
文摘基于Web of Science核心数据库,借助文献分析软件CiteSpace对1953—2023年的聚对苯二甲酸乙二醇酯(PET)结晶研究成果进行了可视化分析,分析了作者、国家、机构、关键词等合作网络,揭示了PET结晶研究的知识结构和发展演变。结果表明:PET结晶研究当前已进入相对稳定阶段,但合作网络整体比较分散,美国、中国是研究的中坚力量,中国科学院是影响力最大的研究机构;早期的研究偏向PET基础性能分析,后期的研究偏向PET的功能化制备;PET的相结构、解聚、表征方法等是PET结晶研究的主要内容。