基于数字通信技术的铁路数字列车无线调度通信系统(Digital Radio Communication System for Train Dispatching,DRTD)将作为450 MHz列调系统的替代方案。固定电台作为DRTD系统架构中车站侧的功能主体,负责与中心侧、邻站及其他需要数...基于数字通信技术的铁路数字列车无线调度通信系统(Digital Radio Communication System for Train Dispatching,DRTD)将作为450 MHz列调系统的替代方案。固定电台作为DRTD系统架构中车站侧的功能主体,负责与中心侧、邻站及其他需要数据语音互通的有线及无线系统组成部分进行互通。通过合理地对固定电台数据管理控制模块进行模块区分与功能设计,根据各个子功能种类及彼此间的联系,将其分为数据库处理模块、数据收发模块及信息管理控制等多个子模块,并使用多线程的架构进行模块的后台服务程序开发,保证模块功能的处理效率,有效支持整个DRTD系统的功能实现与系统稳定性。该模块软件已在现场试验中应用并稳定运行。展开更多
Electricity price forecasting has become an important aspect of promoting competition and safeguarding the interests of participants in electricity market. As market participants, both producers and consumers intent t...Electricity price forecasting has become an important aspect of promoting competition and safeguarding the interests of participants in electricity market. As market participants, both producers and consumers intent to contribute more efforts on developing appropriate price forecasting scheme to maximize their profits. This paper introduces a time series method developed by Box-Jenkins that applies autoregressive integrated moving average (ARIMA) model to address a best-fitted time-domain model based on a time series of historical price data. Using the model’s parameters determined from the stationarized time series of prices, the price forecasts in UK electricity market for 1 step ahead are estimated in the next day and the next week. The most suitable models are selected for them separately after comparing their prediction outcomes. The data of historical prices are obtained from UK three-month Reference Price Data from April 1st to July7th 2010.展开更多
为解决不同人员相同操作的个体差异以及同一人员不同时间相同操作差异的问题,提出一种基于混合专家系统(mixture of experts,MoE)和长短期记忆神经网络(long short-term memory,LSTM)的倒闸操作识别方法MoE-LSTM。基于MoE对LSTM进行集成...为解决不同人员相同操作的个体差异以及同一人员不同时间相同操作差异的问题,提出一种基于混合专家系统(mixture of experts,MoE)和长短期记忆神经网络(long short-term memory,LSTM)的倒闸操作识别方法MoE-LSTM。基于MoE对LSTM进行集成,学习不同来源数据的特征分布。采集加速度动作数据构建倒闸操作数据集,基于滑动窗口对动作序列进行切分;将动作序列输入到MoE-LSTM中,由不同LSTM独立学习不同动作的时序依赖;通过门控网络选择对当前输入分类较好的LSTM的输出作为动作识别结果。仿真结果表明:不同LSTM对来自不同时空的动作数据都有擅长分类的特征空间。展开更多
文摘基于数字通信技术的铁路数字列车无线调度通信系统(Digital Radio Communication System for Train Dispatching,DRTD)将作为450 MHz列调系统的替代方案。固定电台作为DRTD系统架构中车站侧的功能主体,负责与中心侧、邻站及其他需要数据语音互通的有线及无线系统组成部分进行互通。通过合理地对固定电台数据管理控制模块进行模块区分与功能设计,根据各个子功能种类及彼此间的联系,将其分为数据库处理模块、数据收发模块及信息管理控制等多个子模块,并使用多线程的架构进行模块的后台服务程序开发,保证模块功能的处理效率,有效支持整个DRTD系统的功能实现与系统稳定性。该模块软件已在现场试验中应用并稳定运行。
文摘Electricity price forecasting has become an important aspect of promoting competition and safeguarding the interests of participants in electricity market. As market participants, both producers and consumers intent to contribute more efforts on developing appropriate price forecasting scheme to maximize their profits. This paper introduces a time series method developed by Box-Jenkins that applies autoregressive integrated moving average (ARIMA) model to address a best-fitted time-domain model based on a time series of historical price data. Using the model’s parameters determined from the stationarized time series of prices, the price forecasts in UK electricity market for 1 step ahead are estimated in the next day and the next week. The most suitable models are selected for them separately after comparing their prediction outcomes. The data of historical prices are obtained from UK three-month Reference Price Data from April 1st to July7th 2010.
文摘为解决不同人员相同操作的个体差异以及同一人员不同时间相同操作差异的问题,提出一种基于混合专家系统(mixture of experts,MoE)和长短期记忆神经网络(long short-term memory,LSTM)的倒闸操作识别方法MoE-LSTM。基于MoE对LSTM进行集成,学习不同来源数据的特征分布。采集加速度动作数据构建倒闸操作数据集,基于滑动窗口对动作序列进行切分;将动作序列输入到MoE-LSTM中,由不同LSTM独立学习不同动作的时序依赖;通过门控网络选择对当前输入分类较好的LSTM的输出作为动作识别结果。仿真结果表明:不同LSTM对来自不同时空的动作数据都有擅长分类的特征空间。
