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- monthly load forecasting 月度负荷预测
- 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。
- 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。
- 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]
- A multi-layer neural network based on Single Parameter Dynamic Search Algorithm (SPDS) is proposed for short term load forecasting in this paper. 摘要用多层神经网络模型解决短期电力负荷预测问题，提出了运用基于非梯度的单参数动态搜索(SPDS)算法训练网络。
- A short-term load forecasting model based on SVM is presented in which the parameters in SVM are optimized by Particle Swarm Optimizer (PSO). 文章提出了PSO优化参数的SVM回归预测模型,并将其用于短期电力负荷预测。
- The research fields of Peirong Ji are Electrical Load Forecasting, Grey System Theory, Circuits and Systems, Control Theory. 吉培荣的研究领域包括电力系统负荷预测、灰系统理论、电路与系统、控制理论。
- According to the trait of power load, this paper proposes a PSO based fuzzy neural network model for short-term load forecasting. 摘要针对短期负荷预测的特点，提出基于粒子群(PSO)优化的模糊神经网络短期负荷预测模型。
- Because of the limitation of grey model GM (1,1) in applying of load forecasting, we use grey emendation GM (1,1) model. 基于灰色GM(1,1)模型在负荷预测运用中的局限性,引入分段灰色较正GM(1,1)模型;
- The influence of anomalous data consisted in the historic load data to load forecasting has been analyzed in this paper. 分析了历史负荷中异常数据对负荷预报影响,并对实际电力系统中异常负荷数据进行了简单的分类。
- My monthly salary cheque is late. 我的月工资支票来迟了。
- A few methods of improving short-term load forecasting accuracy are presented in this paper by studying and comparing them. 摘要在对短期负荷预测的方法进行了研究、比较后，提出了几种提高预测精度的办法。
- Please show me your monthly bus pass. 请出示公共汽车月票。
- My monthly income was just over 200 pounds. 我每月的收入是200多磅。
