Results 181 to 190 of about 2,029 (212)
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Intelligent load forecasting techniques for local power suppliers
1999 European Control Conference (ECC), 1999This paper presents the results for daily load forecasts of a local power supplier. The new approach of this paper is to use three neural networks, each representing a period of a day, for the daily load forecast. Three commercial tools for neural networks are used to reduce the time for the development and tests.
B. Bitzer, Frank Rößer
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Power System Load Forecasting Based on EEMD and ANN
2011In order to fully mine the characteristics of load data and improve the accuracy of power system load forecasting, a load forecasting model based on Ensemble Empirical Mode Decomposition (EEMD) and Artificial Neural Networks (ANN) is proposed in this paper.
Wanlu Sun, Zhigang Liu 0001, Wenfan Li
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Power load forecasting using neural canonical correlates
Proceedings 15th International Conference on Pattern Recognition. ICPR-2000, 2002We (1998, 1999) have previously derived a neural network implementation of the statistical technique of canonical correlation analysis. We have then extended the network so that it may find nonlinear correlations in data sets. In this paper we demonstrate the capabilities of the network (both linear and nonlinear) on an artificial data set and ...
Pei Ling Lai +2 more
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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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Application of wavelets in power system load forecasting
2006 IEEE Power Engineering Society General Meeting, 2006Forecasting of electric load demand on power system using wavelet transform is presented in this work. It utilizes the periodicities of past load demand data. Load demand data is presented as an image of size of 7/spl times/24 for a week, from which the image of a year is obtained by stacking 52 weeks.
A.K. Saha +4 more
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Multifactor and multiscale method for power load forecasting
Knowledge-Based Systems, 2023Yan Zhang +4 more
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Research on Power Load Forecasting Based on PSO-LSTM
2022 4th International Conference on Artificial Intelligence and Advanced Manufacturing (AIAM), 2022Zhicheng Yu, Haoyue Sun, Bining Zhang
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Industrial Power Load Forecasting Method Based on Reinforcement Learning and PSO-LSSVM
IEEE Transactions on Cybernetics, 2022Quanbo Ge, Qiang Hua, Quanbo Ge
exaly
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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