Application of self-organizing combination forecasting method in power load forecast
2007 International Conference on Wavelet Analysis and Pattern Recognition, 2007According to the load properties of electric power, four kinds of component forecasting models are chosen and a new combination forecasting model based on Self-organizing data mining algorithm is introducted in this paper. The forecasted results of each component forcasting models are used as the input of self-organizing data mining algorithm, and the ...
null Wei Sun, null Xing Zhang
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Ultra-short term power load forecasting based on CEEMDAN-SE and LSTM neural network
Energy and Buildings, 2022Kerry Li, Wei Huang, Gaoyuan Hu, Jiao Li
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The Research of Power Load Forecasting Method on Combination Forecasting Model
2009 First International Conference on Information Science and Engineering, 2009The problem of power load market forecasting is studied and analyzed, and a new method of power load market forecasting is advanced in this paper. Counter to the characteristic of high nonlinear and high noise of stock time series, the noise is efficiently filtered and the reduction in the data performed by means of.
Shuliang Liu, Zhiqiang Hu, Xiukai Chi
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Deregulated power system load forecasting using artificial intelligence
2010 IEEE International Conference on Computational Intelligence and Computing Research, 2010Electricity market demands to the power industry in de-regulated form in this paper. The proposed load forecasting using ANN shows the effective risk management plans. This power market is to maintain their effective cost in terms of energy generation, energy purchase and optimization of the switching losses.
G. MadhusudhanaRao +2 more
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Short-term electric power load forecasting using random forest and gated recurrent unit
Electrical Engineering, 2021V. Veeramsetty +4 more
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LSTM Power Mid-Term Power Load Forecasting with Meteorological Factors
2018In order to improve the accuracy and efficiency of mid-term power load forecasting, a mid-term power load forecasting method of long short time memory network (LSTM), which combines weather factors, is proposed. Firstly, the influence of meteorological factors affecting the power load on the mid-time power load is analyzed. Secondly, the meteorological
Xin Su +3 more
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Time-variable Weight Forecasting Method in Power Load Forecasting
2023 IEEE 3rd International Conference on Information Technology, Big Data and Artificial Intelligence (ICIBA), 2023Xuezhi Lv +4 more
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Power load forecasting method based on demand response deviation correction
International Journal of Electrical Power & Energy Systems, 2023Xiangyu Kong +3 more
semanticscholar +1 more source
A short-term power load forecasting method based on k-means and SVM
Journal of Ambient Intelligence and Humanized Computing, 2021Xia Dong, Song Deng, Dong Wang
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Application of Grey Forecasting Model to Load Forecasting of Power System
2011The grey GM (1, 1) model is a kind of more effective load forecasting model, however, because power load has diversity, causing some variation is larger, the load forecasting error cannot match the requirements. Precision in practical application has certain limitations.
Yan Yan +4 more
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