日负荷曲线预测是电力市场运营的基本内容。
Next-day load curve prediction is the important items of electricity market operation system.
提出了一种基于准实时数据的动态日负荷预报的方法。
The Research of Parameter Model Method in Electric Load Forecasting;
本文基于指数平滑的基本原理讨论了电力系统日负荷预测方法。
This paper is concerned with the fundamentals of the smooth index and their application in the day-load prediction for electrical power systems.
论述了北京市天然气日负荷的特点、预测模型的建立及优化过程。
The characteristics of natural gas daily load, the establishment and the optimization process of the forecast model for Beijing City are described.
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。
Based on the forecast of daily gas load in Anshan City, the method for processing history data of gas load is discussed.
提出了基于气温变化的燃气日负荷预测方法——温差系数法，取得了较好的预测效果。
A method for forecasting daily gas load based on air temperature variation, namely temperature difference coefficient method is put forward, and the satisfactory forecasting result is acquired.
运用系统日负荷预测的数据，尝试性地进行无功优化控制的理论分析，并进行了实例计算。
Using data of daily load prediction, theory analysis and calculate of reactive optimal control have been tried.
由于温度具有热累积效应，持续高温日负荷的变化规律与普通气象条件下的变化规律有明显的区别。
And the load change under continuous days of high temperature is obviously different from what under normal high temperature due to the cumulative effect of heat.
采用加权最小二乘法参数估计方法，得到应用于电力系统日负荷预测和月负荷预测的ARMA模型。
In this paper, the method of weighted least square estimate is proposed to construct ARMA model, which can be applied in power system load forecasting.
本文的工作包括日负荷历史数据的处理、预测模型建模理论研究和日负荷预测的软件实现问题三个方面。
This thesis covers three aspects: the process method of daily load data, the research of forecast model and the software development of daily loadforecast.
本文提出了运用灰色预测模型和几何回归模型预测重大节日期间电网日负荷曲线的方法，并编制了相应软件。
A method to use the grey prediction model and geometric regression model to predict the daily load curve of power systems during the great holiday is proposed. A relevant software is presented.
然后利用电力负荷数据的不同分形特性，将分形外推插值算法应用于电力日负荷、日峰值负荷及年用电量预测中。
Then by use of different fractal property of power load data the proposed fractal extrapolation algorithm is applied to the forecasting of daily load, daily peak load and annual power consumption.
基于饱和关联维数法，对四川省全省电力系统日负荷序列的混沌特征进行定量分析，得出日负荷时间序列具有混沌性的结论。
This paper discusses chaotic characteristic of the power daily load of Sichuan Province based on saturation correlation dimension, and concludes that daily load time series belong to chaotic series.
该模型利用RBF神经网络的非线性逼近能力对预测日负荷进行了预测，并采用在线自调整因子的模糊控制对预测误差进行在线智能修正。
The model forecasts the daily load by the nonlinear approaching capacity of the RBF neural network, than corrects the errors by on-line self-tuning factors of fuzzy control.
然后对无锡地区近年来的负荷特性进行了分析，主要对不同年份负荷率、峰谷差、典型行业的日负荷曲线数据进行分析，从中找出无锡地区负荷及负荷特性的特点。
Then it analyses the load characteristics of Wuxi, mainly on load-rate of years and typical daily load data or curves so that we can find the main specialty of the local load.
通过对华东某地市电网日负荷96点曲线的预测结果显示，该方法效果较好，日预测均方根误差在1.78%以内，能较好地满足实际电力系统的负荷预测要求。
The forecasting results of a city in east China showed that, the MSE forecasting error of 96 points daily load is only about 1.78%. The method can satisfy the request of real power system well.
在地震过后，已经负荷累累的孤儿院竭尽所能来解决这一问题：右图拍摄于2010年1月20日，孤儿们正睡在一两送货的大卡车上的垫子上。
In the immediate aftermath of the earthquake, overburdened orphanages did their best to cope: right, orphaned children sleeping on mattresses in a delivery truck on Jan. 20, 2010.
构建了以全网煤耗最小、成本节约最大为双目标的日有功经济负荷分配模型。
Power system active power economic load distribution model is established in terms of the minimum consumption and maximum cost saving.
从非线性动力系统理论角度看，相似日预测的实质是对负荷序列中平衡点和准周期行为的预测。
From the viewpoint of nonlinear dynamic system theory, the substance of load forecasting by the loads in similar days is the forecasting for the behaviors of equilibrium points and quasi-periods.
传统的电力系统日生产模拟算法是在确定的负荷预测基础上仅对发电侧进行优化管理。
The traditional algorithm of plant scheduling is to optimize only the generating side management based on the defined load forecast.
该模型中通过比例因子来反映负荷随时间的变化，采用日平均发电曲线表示风电场的运行约束。
The hourly average daily generation curve is used to express the wind farm operation constraint and the load changes over time are reflected through the scaling factor.
此外建立了一些特定因素的模糊函数，在超短期负荷预测过程中采用了聚类分析法提取负荷相似日。
In addition, the fuzzy functions for specified factors are built, and in ultra short-term load forecasting the similar load days are extracted by clustering analysis.
最后通过模糊推理策略预测日最大负荷和日最小负荷。实际算例表明，所提出的方法能够提高短期负荷预测的精度。
The results of practical calculation examples show that the accuracy of forecasted short-term load can be improved by the proposed method.
提出了一个综合多个目标的日有功负荷分配集中优化模型。
A new multi - objective fuzzy optimization model for daily active power dispatch is proposed.
对于受不确定因素影响的短期电力负荷，提出了一种基于相似日的神经网络预测方法。
For the short -term electric power load with uncertainty influence factors, we put forward the load forecasting method using ANN based on similar historical day.
选择武汉市某一典型高层办公楼为研究对象，探索空调负荷设计日逐时变化规律。
Choose a typical high-rise office building in Wuhan as research object, hourly variety rules on typical day of air conditioning load is explored.
选择武汉市某一典型高层办公楼为研究对象，探索空调负荷设计日逐时变化规律。
Choose a typical high-rise office building in Wuhan as research object, hourly variety rules on typical day of air conditioning load is explored.
应用推荐