The paper also researches the power load forecasting and gives an analysis of a short forecasting algorithm.
本文还研究了电力负荷预测算法，并给出了一种电力负荷短期预测算法的详细分析。
A new method of the medium term electric load forecasting according to time period forecasting tendency is given and meanwhile the multistep medium term load model is put up forward.
对电力系统中期负荷预测提出了按照时间段预测趋势修正的新方法，同时提出了多阶梯中期负荷模型。
This paper presents a fuzzy neural network approach to short term load forecasting.
提出了一种用于短期电力负荷预报的模糊神经网络方法。
Aiming at the actual difficulties in load forecasting, a new load forecasting method in which the solar term load is used as modeling data was put forward combining ARIMA model and BP network.
针对电力负荷预测的实际困难，提出了一种以节气负荷作为建模数据，将ARIMA模型及BP网络相结合的负荷预测新方法。
A new method was presented for power load forecasting.
提出了一种预测电力系统负荷的新方法。
A recurrence algorithm of dynamic economic dispatching coupled with very short term load forecasting is presented.
本文提出一个与超短期负荷预报结合在一起的动态经济调度递推算法。
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。
A load forecasting system of district power network is researched and developed to meet the requirement of district dispatch center.
根据地区调度中心的需求，研究并开发了一个地区电网负荷预测系统。
Electrical load forecasting is a complicated multilevel system including dimensions of space, time, attributes, etc.
电力负荷预测是一个包含空间、时间、属性等多维度多级别的复杂体系。
A new method of short time load forecasting on the base of elasticity coefficient is put forward according to the characteristic of obvious fractal self similarity of load change in power system.
针对电力系统负荷变化具有明显的分形自相似性的特点，提出了一种新的基于弹性系数的短期负荷预测方法。
A reduced dimensions method applying neural network is proposed for short term load forecasting.
提出一种采用神经网络进行电力系统短期负荷预测的降维方法。
Linear regression analysis is a most common method for mid term load forecasting.
线性回归是电力系统中期负荷预测的常用方法。
Load forecasting is an important research content of power system planning and running, belongs to stratagem forecasting, and is a premise for reliable supplying and economic running.
负荷预测是电力系统规划和运行研究的重要内容，属于战略预测，是保证电力系统可靠供电和经济运行的前提。
A short term load forecasting software system for Northwest Grid is presented in this paper.
本文介绍了西北电网短期负荷预测软件系统。
This paper has presented a new approach for short-term load forecasting.
提出了一种新的短期电力负荷预报方法。
Based on the united data mining techniques, a new method of optimum combined forecasting of power load is suggested.
提出了基于联合数据挖掘技术的电力负荷优选组合预测方法。
A medium and short term load forecasting system is designed for Guilin Power Network.
设计了一套桂林电网中短期负荷预测系统。
Because of the existence of the indefinite factors in power load forecasting, a new load forecasting model - the fuzzy inference forecasting is presented.
考虑到电力负荷预测问题中存在的不确定性，采用模糊推理预测方法进行负荷预测的研究。
A hybrid method based on chaos and neural network was used in the study of the electric power system short-term load forecasting.
提出了一种将混沌和神经网络相结合的方法用于短期负荷预测。
A new spatial load forecasting method is proposed, in which the fuzzy multi-objective multi-person decision making is led into land-use decision making for spatial load forecasting.
提出了一种新的空间负荷预测方法，在进行空间负荷预测用地类型决策时引入了模糊多目标多人决策。
On the basis of the system load forecasting, a method of node load pattern forecasting has been presented.
在总体负荷预报的基础上提出了节点负荷模式预报的方法。
A novel method called load derivation is introduced for ultra-short term load forecasting of power system.
负荷求导法是超短期电力负荷预测的一种新方法。
In this paper, a method, called multinomial regression for forecasting for ultimate bearing capacity of singe pile with static load experiment is proposed.
介绍了一种单桩静载荷试验极限承载力的预测法——多项式回归法。
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.
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 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 theory of load forecasting has been researched for a long time, and a lot of forecasting methods are proposed.
国内外学者对负荷预测理论做了大量研究，提出了许多预测方法。
Daily load forecasting is a basic role of power market.
日电力负荷预测是电力市场运营的基本内容。
In this paper we propose a method for short-term load forecasting using artificial neural network.
本文提出了一种应用人工神经网络进行电力系统短期负荷预测的方法。
Results show that short-term load forecasting by the developed method is sample, fast and accurate, which can be implemented on a personal computer.
计算结果表明，提出的短期负荷预测方法是简单、快速并精确的，可在个人计算机上实现。
Results show that short-term load forecasting by the developed method is sample, fast and accurate, which can be implemented on a personal computer.
计算结果表明，提出的短期负荷预测方法是简单、快速并精确的，可在个人计算机上实现。
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