Results 261 to 270 of about 136,820 (296)

Application of self-organizing combination forecasting method in power load forecast

2007 International Conference on Wavelet Analysis and Pattern Recognition, 2007
According 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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The Research of Power Load Forecasting Method on Combination Forecasting Model

2009 First International Conference on Information Science and Engineering, 2009
The 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, 2010
Electricity 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, I. Narasimhaswamy, B. Sampath Kumar   +2 more
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LSTM Power Mid-Term Power Load Forecasting with Meteorological Factors

2018
In 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, Xin-hua Jiang, Shun-miao Zhang, Ming-long Chen   +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), 2023
Xuezhi Lv, Ronghua Zhang, Jingui Zhang, Chunlei Kou, Fenglin Sun   +4 more
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Application of Grey Forecasting Model to Load Forecasting of Power System

2011
The 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, Chunfeng Liu, Bin Qu, Quanming Zhao, Feifei Ji   +4 more
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Big Data in Power Load Forecast

2021
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Industrial Power Load Forecasting Method Based on Reinforcement Learning and PSO-LSSVM

IEEE Transactions on Cybernetics, 2022
Quanbo Ge, Chen Guo, Zhenyu Lu
exaly  

Advanced Methods of Power Load Forecasting

2022
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Power System Short-Term Load Forecasting Method

2023 IEEE International Conference on Image Processing and Computer Applications (ICIPCA), 2023
Zhentao Zhang, Zhang Wen, Zhongxian Dai, Lei Zhang   +3 more
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