load forecast

The fuzzy time series model of electrical load forecast

电力负荷预测的模糊时序模型

Each of these components using new forecasting method to predict the load in the low frequency components of the summer forecast, the introduction of real-time temperature factor, the final reconstructed sequence of the final load forecast results, to improve the prediction accuracy.

分别对这些分量运用新的预测方法进行预测，在对夏季负荷低频分量进行预测时，引入实时温度因子，最后重构负荷序列得到最终预测结果，提高了预测精度。

The power load forecast accuracy is higher when GM ( 1,1) model is applied for the exponential increasing load, while it is not acceptable when the load is influenced by different factors.

灰色预测系统GM（1，1）模型用于负荷按指数增长态势变化时，预测精度较高，但当影响负荷的因素较多、模型灰度较大时，精确度就不够理想。

Short-term load forecast includes day load forecast and week load forecast.

短期负荷预测是指日负荷预测和周负荷预测。

As an essential component of DMS, the system will supplement itself in the following aspect, short circuit current calculation, theoretical losing, voltage/ reactive power optimize, state estimation, load forecast, etc.

本软件平台是DMS的重要组成部分，下一步将加入短路电流计算、理论线损计算、电压／无功优化、状态估计、负荷预报等功能。

Very short term load forecast based on multi-sample extrapolation and error analysis

基于日周期多点外推法的超短期负荷预测及其误差分析

Preliminary Discussion on Load Forecast Suitable to Urban Power Grid Planning

初论适合城市电网规划的负荷预测方法

The study on heat load forecast of the heating boiler house

供暖热水锅炉房的热负荷预测

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.

Base on the definition of electricity elasticity coefficient, the correlation formula between the electricity elasticity coefficient and electricity intensity of GDP is derived, and a Introduce a new method of load forecast using electricity elasticity coefficient is put forward.

根据电力弹性系数的定义，推导出电力弹性系数与GDP增速和GDP平均电耗及GDP电耗下降速度间的关系表达式，并介绍利用这一关系式进行电量预测的新方法。

Research of solar term load forecast method

节气负荷预测方法研究

The short term load forecast basic method adapting Liaoning power metwork& linear extrapolation method is introduced chiefly.

主要介绍了适于辽宁电网短期负荷预测的基本方法&线性外推法。

Electrical load forecast based on Lyapunov exponent method with rule of acceptance and rejection

基于引入取舍规则的Lyapunov指数法的电力负荷预测

Load forecast is the foundation of power system operating dependably and economically.

电力系统负荷预报是电力系统安全、经济运行的基础.

Through this study, not only completed the work in the city of load forecast, but also to guide future actual load forecast similar cities.

通过本文的研究，不仅完成了该城市的负荷预测工作，同时也能够指导今后类似城市的实际负荷预测工作。

To forecast short-term power load accurately, quickly and efficiently, a method based on the Particle Swarm Optimization with Extended Memory ( PSOEM) and Support Vector Regression ( SVR) was proposed for short-term power load forecast, taking the historical load data as model inputs.

为了快速准确高效地预测短期电力负荷，本文提出一种带扩展记忆的粒子群优化技术和支持向量回归相结合，以历史负荷数据作为输入的基于PSOEM-SVR的短期电力负荷预测方法。

Study on Load Forecast of City Gas with Unstable Time Series Model

城市燃气负荷非平稳时序预测模型的研究

Initial Investigation of Cascaded Neural Networks in Hourly Thermal Load Forecast of Next Day for Boiler Plant

应用级联神经网络预测供热锅炉次日小时热负荷的初步研究

Traditional load forecast method had many deficiencies, such as poor precision and crudeness and incapability for non-linear relations.

传统的负荷预测方法往往具有预测精度不高、鲁莽性差、不能表述复杂的非线性关系等缺点。