Long-term load forecasting is an important component for power system energy management and reliable power system operation. The Grey model GM (1, 1) based on the grey system theory has been extensively used as a powerful tool for load forecasting in recent years. In this study the accurac...
1. The new method is applied in long-term load forecasting. 提出了一种考虑商业负荷和居民负荷辐射效应的新方法,应用于远景负荷预测。更多例句>> 2) prospective prognosis 远景预测 1. 2, the authors extracted ore controlling information from Klulun basin, analyzed integrated evidence factors through ...
Medium and long term load forecasting is the basis of power system planning and construction. 在探讨了电力负荷预测的特点、目前预测工作的现状和存在的问题,以及做了上述准备工作的基础之上,鉴于中长期负荷预测需面对大量不确定性信息这一现实,本文应用一些新兴理论改进和提出了六类中长期电力负荷预测的不确定性...
Mid-LongTermLoadForecastingofPowerSystemBased onDoubleExtensionGather-TypeModel 基于多重可拓聚类模型的电力系统中长期负荷预测 ilib.cn 9. StudyontheModelofMid-longTermLoadForecastingforPowerSystemBased onMatterElement 基于物元模型的电力系统中长期负荷预测 ...
Therefore, it is necessary to forecast long-term load demand exactly in order to plan or operate power systems efficiently. Several methods have been investigated so far for the long-term load forecasting. However, because the electric loads consist of many complex factors, good forecasting has ...
6、Long Term Load Forecasting with Hourly Predictions based on Long-Short-Term-Memory Networks,程序员大本营,技术文章内容聚合第一站。
The load forecasting problem is a complicated non-linear problem connected with the weather, economy, and other complex factors. For electrical power systems, long-term load forecasting provides valuable information for scheduling maintenance, evaluating adequacy, and managing limited energy supplies. A ...
Long-Term Load Forecasting Approach Using Dynamic Feed-Forward Back-Propagation Artificial Neural Network 来自 Springer 喜欢 0 阅读量: 19 作者:A Masoumi,F Jabari,SG Zadeh,B Mohammadi-Ivatloo 摘要: In recent years, due to increasing rate of electricity demand and power system restructuring with a...
2020年马普生物地球化学研究所气象站每10分钟采集21个气象指标的气象时间序列。 下载地址:mpi_roof_2020a.zip(2020年1-6月);mpi_roof_2020b.zip(2020年7-12月) Credit to Non-stationary Transformers: Exploring the Stationarity in Time Series Forecasting [Neurips 2022] Benchmark Result SCINet SCINet: Ti...
Founded on total amount of annual load,annual load growth amount,annual load growth rate,acceleration rate of annual load growth and annual gross domestic product(GDP),a long-term load forecasting model based on heuristic least square support vector machine(LS-SVM) is built.Firstly,the low dimens...