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- Daily Gas Load Forecast Based on Radial Basis Function Neural Network 基于径向基神经网络的燃气日负荷预测
- A Equal-dimension and New-information Model of Urban Gas Load Forecasting in Application of Neural Network 城市燃气短期负荷预测的神经网络等维新息模型
- Energy Solutions Gas Load Forecaster 天然气负荷预报器简介
- Jiao Wenling ， Qin Yukun ， Ma Yingqiu. Research on Natural Gas Load Forecasting with Un-stationary Time Series Model. HEAT-SET 2005 ， Grenoble, France ， April 5-7,2005 焦文玲，赵林波，秦裕琨.;城市燃气小时用气负荷周期性研究
- gas load forecasting 燃气负荷预测
- gas load forecast 燃气负荷预测
- short-term gas load forecast 燃气短期负荷预测
- Based on the forecast of daily gas load in Anshan City,the method for processing history data of gas load is discussed. 结合鞍山市燃气日负荷预测,论述了历史燃气负荷数据的处理方法。
- The analysis shows that it is feasible for short-term load forecasting. 结果表明可以将负荷求导法用于短期负荷预测。
- A traffic load forecast model by optimally combined Markov chain is presented. 提出了一种基于最优组合马尔柯夫链的业务量预测模型 .
- To make perdition in an effective way, power load forecasting model based on BP neural network is established. 在此基础上,为了对河北省南部电网月用电量进行有效的预测,建立了BP神经网络的负荷预测模型。
- Spatial load forecasting (SLF) is of special importance inplanning of urban power network. 在城网规划中，负荷的地理分布预测有其独特的重要性。
- Load analysis can help operators develop expertise,hold the rule of load changing and instruct load forecasting. 负荷分析可以帮助运行人员形成专家知识,把握负荷变化规律,指导负荷预测。
- The daily gas load in 2002 in Anshan City is forecasted by GCAQBP neural network with average relative error of 4.1%. 运用GCAQBP神经网络对鞍山市2002年燃气日负荷进行了预测;预测的平均相对误差为4.;1%25。
- This paper bring forward researching constitution for power system short-term load forecasting in Dongying regionality. 论文对东营地区短期负荷预测管理系统的开发提出了构想。
- The forecasted gas load fitted with data collection and control sy stem can save energy for gas boiler. 预测的热负荷配以数据采集和控制系统,用于燃气锅炉的控制,节约能源显著;
- Hwan Kab-Ju,Kim Gwang-Won.A Short-term Load Forecasting Expert System[J].Science and Technology,2001 (1). 陈欣;项昌乐.;车辆传动系多工况随机载荷谱的统计处理方法[J]
- This paper proposes a novel spatial load forecasting(SLF) method for distribution planning. 文章提出了一种新颖的配电网空间负荷预测模型。
- Hypde O, Hodnett PF.An adaptable automated procedure for short-term electricity load forecasting [ J ]. 张国庆;韩新阳;王晖;等.;气象因素对负荷和电量影响的研究[J]
- Study on Forecast of Daily Gas Load in Anshan City 鞍山市燃气日负荷预测的研究
