A Medium and Long Term Load Characteristic Index Forecasting Method Considering Load Influencing Factors

机译：考虑负荷影响因素的中长期负荷特征指标预测方法

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Power load characteristic index is an industry index defined to describe the economic level of load safety, load characteristics and load variation law. It is an important reference for power grid dispatching and planning departments to make decisions. In this paper, the grey correlation analysis method is used to evaluate the influence degree of meteorological, economic, holiday and other external influencing factors on some key load characteristic indexes, excluding the influence factors with low correlation degree, establishing the multiple linear and nonlinear regression model of load index and its related influencing factors, and using the least square to solve the coefficient, realize the prediction of medium and long term load characteristic indexes. Finally, this paper makes a case study by using multiple data of regional load, climate and economy.

机译：电力负荷特性指数是一个由描述负载安全性，负荷特性和负载变化法的经济水平的行业指标。电网调度和规划部门做出决策是一个重要的参考。在本文中，灰色相关分析方法用于评估气象，经济，假期和其他外部影响因素对一些关键载s特征指标的影响，不包括具有低相关程度的影响因素，建立多线性和非线性回归负荷指数模型及其相关影响因素，并利用最小二乘来解决系数，实现了中长期载荷特征指标的预测。最后，本文通过使用区域负荷，气候和经济的多种数据进行案例研究。

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《IEEE Sustainable Power and Energy Conference》|2020年|1431-1436|共6页
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Xu Hao; Zhang Quanming; Ye Qiang; Ma Ruiguang; Zhu Mi; Yang Wei;
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Economics; Correlation; Predictive models; Power grids; Safety; Planning; Indexes;

机译：经济学;相关性;预测模型;电网;安全;规划;索引;

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机译：具有继承的动态负荷特征的快速发展的公用事业公司的短期峰值需求预测。 I.经典时间序列方法的应用。二。改进的系统动态负载特性建模
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机译：基于径向基函数神经网络的短期，中长期负荷预测模型和虚拟负荷预测器
3. A Comparative Study of Regression Analysis and Artificial Neural Network Methods for Medium-Term Load Forecasting [J] . Isaac A. Samuel, Adetiba Emmanuel, Ishioma A. Odigwe, Indian Journal of Science and Technology . 2017,第10期

机译：中期负荷预测的回归分析与人工神经网络方法的比较研究
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机译：基于影响负荷消耗的因素和所用方法的电力负荷预测分类：概述
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机译：最小二乘支持向量机在中期负荷预测中的应用。
6. Towards Modified Entropy Mutual Information Feature Selection to Forecast Medium-Term Load Using a Deep Learning Model in Smart Homes [O] . Omaji Samuel, Fahad A. Alzahrani, Raja Jalees Ul Hussen Khan, 2020

机译：在修改熵互信息特征选择中在智能房屋中使用深度学习模型预测中期负荷
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机译：基于径向基神经网络的短期，中长期负荷预测模型和虚拟负荷预测器

A Medium and Long Term Load Characteristic Index Forecasting Method Considering Load Influencing Factors

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