The system offers a powerful auxiliary tool for load forecasting work.
该系统为电力负荷管理人员提供了一套强有力的辅助工具。
Short-term load forecasting is of great importance for electric power systems.
短期电力负荷的预测对电力系统具有重要的意义。
Power system load forecasting is the foundation of power system operation and planning.
负荷预测是电力系统运行和规划的依据。
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。
The paper presents an immune clustering RBF neural network (ICRBFNN) model for short-term load forecasting.
提出了一种免疫聚类径向基函数神经网络(ICRBFNN)模型来预测电力系统短期负荷。
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。
Therefore, the key is to improve the accuracy of load forecasting.
因此，负荷预测的关键是提高准确度。
The gray model is widely applied in the day power load forecasting.
灰色模型在日常负荷预测中广泛得到运用。
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。
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。
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。
This load forecasting system belongs to the operation logic layer in the whole system.
这个负荷预测系统隶属于整个系统中的业务逻辑模块。
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 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。
The main factor influencing the accuracy of load forecasting is the uncertainty of original data.
影响负荷预测准确性的最主要因素是原始数据的不确定性。
On the basis of analyzing the character of subarea load forecasting, a general model is established.
在分析分区预测特点的基础上建立了一个通用模型。
Power system load forecasting using stochastic system state model identification technique is proposed.
本文将随机系统状态模型辨识技术用于电力系统负荷预报。
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。
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。
The forecasting result shows that season and trend mode is an effective and feasible load forecasting method.
预测结果表明季节和趋势预测模型是一种有效和可行的负荷预测方法。
Grasping the change rule and trend of power load characteristic is the key to establish load forecasting model.
掌握电力负荷特性的变化规律和发展趋势是建立负荷预测模型的关键。
According to the result, envelopes of load forecasting curve under certain confidence level can also be obtained.
基于该结果，还能求取某一置信水平下的预测负荷曲线的包络线。
The accuracy of power load forecasting is significant to the reasonable planning and construction of power system.
电力负荷预测的准确性对于电力系统的合理规划与建设意义重大。
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。
In this paper, an adaptive bus load forecasting approach based on the thinking of virtual forecasting is proposed.
文章提出了一种基于虚拟预测思想的自适应母线负荷预测技术。
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。
Seeking the causes of the chaos of load records is important to im prove the accuracy of short- term load forecasting.
研究负荷记录混沌的成因，对于提高短期负荷预报的准确率是必要的。
Power system load forecasting process, short-term forecasting, considering the weather, human comfort and other factors.
说明：电力系统负荷预测程序，短期预测，考虑天气、人体舒适度等因素。
According to the trait of the power load forecasting. this paper proposes the genetic neural network load forecasting model.
根据电力负荷预测的特点，提出遗传神经网络负荷预测模型。
According to the trait of the power load forecasting. this paper proposes the genetic neural network load forecasting model.
根据电力负荷预测的特点，提出遗传神经网络负荷预测模型。
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