With the outbreak of the Russian-Ukraine conflict,the changes in agricultural trade between China and Russia are receiving more and more attention.This study analyzes the current status of Sino-Russian agricultural tr...With the outbreak of the Russian-Ukraine conflict,the changes in agricultural trade between China and Russia are receiving more and more attention.This study analyzes the current status of Sino-Russian agricultural trade and employs a SWOT analysis to explore the strengths,weaknesses,opportunities,and threats within their agricultural trading activities.The findings suggest there are opportunities for further optimization and enhancement in the Sino-Russian agricultural trade.Based on this,suggestions proposed include accelerating the development of transportation hubs,facilitating agricultural trade,refining legal frameworks for agricultural exports,and expediting the establishment of economic cooperation zones.展开更多
Agriculture is the foundation of the national economy.The periodicity of agricultural product output and prices,the asymmetry of information between buyers and sellers,and the inherent characteristics of small scale,h...Agriculture is the foundation of the national economy.The periodicity of agricultural product output and prices,the asymmetry of information between buyers and sellers,and the inherent characteristics of small scale,high cost,and low profit have caused slow sales,which greatly hurt the enthusiasm of farmers to develop production and endanger social stability.Constructing an informationized and commercialized trading platform and an information sharing platform through e-commerce and establishing related systems and supervision mechanisms will help to promote the rapid growth of agricultural product sales.Research has shown that in the field of agricultural circulation,e-commerce has a significant effect on increasing the scale of agricultural trade.展开更多
电-热-气-冷多能联供型微网对实现能源可持续发展具有重要的应用价值。针对多能联供系统碳排放量较高和负荷模型预测不准确问题,提出了一种基于滚动优化的电-热-气-冷系统多时间尺度低碳运行策略。首先,建立电-热-气-冷系统设备模型。其...电-热-气-冷多能联供型微网对实现能源可持续发展具有重要的应用价值。针对多能联供系统碳排放量较高和负荷模型预测不准确问题,提出了一种基于滚动优化的电-热-气-冷系统多时间尺度低碳运行策略。首先,建立电-热-气-冷系统设备模型。其次,构建日前与日内两阶段模型,在日前调度阶段引入含赏罚因数的碳交易机制,通过将卷积神经网络(convolutional neural networks,CNN)与双向长短期记忆网络(bi-directional long short term memory,Bi-LSTM)进行结合对风光功率进行预测,并以运行成本最低为目标进行优化。之后,建立日内多时间尺度的优化调度模型,以调度成本最低为目标进行求解。最后,以某市综合能源系统为研究对象进行分析。结果表明,所提出的方法能够有效减少碳排放,提高负荷模型预测的准确度的同时实现多能联供系统的低碳经济运行。展开更多
文摘With the outbreak of the Russian-Ukraine conflict,the changes in agricultural trade between China and Russia are receiving more and more attention.This study analyzes the current status of Sino-Russian agricultural trade and employs a SWOT analysis to explore the strengths,weaknesses,opportunities,and threats within their agricultural trading activities.The findings suggest there are opportunities for further optimization and enhancement in the Sino-Russian agricultural trade.Based on this,suggestions proposed include accelerating the development of transportation hubs,facilitating agricultural trade,refining legal frameworks for agricultural exports,and expediting the establishment of economic cooperation zones.
基金Supported by Guangxi Young and Middle-aged University Teachers’Scientific Research Ability Enhancement Project(2017KY0644).
文摘Agriculture is the foundation of the national economy.The periodicity of agricultural product output and prices,the asymmetry of information between buyers and sellers,and the inherent characteristics of small scale,high cost,and low profit have caused slow sales,which greatly hurt the enthusiasm of farmers to develop production and endanger social stability.Constructing an informationized and commercialized trading platform and an information sharing platform through e-commerce and establishing related systems and supervision mechanisms will help to promote the rapid growth of agricultural product sales.Research has shown that in the field of agricultural circulation,e-commerce has a significant effect on increasing the scale of agricultural trade.
文摘电-热-气-冷多能联供型微网对实现能源可持续发展具有重要的应用价值。针对多能联供系统碳排放量较高和负荷模型预测不准确问题,提出了一种基于滚动优化的电-热-气-冷系统多时间尺度低碳运行策略。首先,建立电-热-气-冷系统设备模型。其次,构建日前与日内两阶段模型,在日前调度阶段引入含赏罚因数的碳交易机制,通过将卷积神经网络(convolutional neural networks,CNN)与双向长短期记忆网络(bi-directional long short term memory,Bi-LSTM)进行结合对风光功率进行预测,并以运行成本最低为目标进行优化。之后,建立日内多时间尺度的优化调度模型,以调度成本最低为目标进行求解。最后,以某市综合能源系统为研究对象进行分析。结果表明,所提出的方法能够有效减少碳排放,提高负荷模型预测的准确度的同时实现多能联供系统的低碳经济运行。