Results 31 to 40 of about 8,068,929 (298)
Energies, 2019 Compared to the load characteristics of normal working days, weekend load characteristics have a low level of load and are sensitive to meteorological conditions, which influences the accuracy of short-term weekend-load forecasting. To solve this problem
Bin Li +3 more
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Alexandria Engineering Journal, 2020 Short-term power load forecasting plays a key role in power supply systems. Many methods have been used in short-term power load forecasting during the past years. A new short-term power load forecasting method is proposed in this study. First, the study
Fei Wu +3 more
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Short Term Load Forecasting Based Artificial Neural Network [PDF]
Iraqi Journal for Electrical and Electronic Engineering, 2014 Present study develops short term electric load forecasting using neural network; based on historical series of power demand the neural network chosen for this network is feed forward network, this neural network has five input variables ( hour of the ...
Adel M. Dakhil
doaj
Energies, 2020 Ultra-short-term electrical load forecasting is an important guarantee for the safety and efficiency of energy system operation. Temperature is also an important factor affecting the changes in electric load.
Dengyong Zhang +4 more
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Short-Term Load Forecasting on Individual Consumers
Energies, 2022 Maintaining stability and control over the electric system requires increasing information about the consumers’ profiling due to changes in the form of electricity generation and consumption.
João Victor Jales Melo +4 more
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A Quantile Regression Random Forest-Based Short-Term Load Probabilistic Forecasting Method
Energies, 2022 In this paper, a novel short-term load forecasting method amalgamated with quantile regression random forest is proposed. Comprised with point forecasting, it is capable of quantifying the uncertainty of power load.
Sanlei Dang +4 more
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Short-Term Electrical Load Forecasting Based on Time Augmented Transformer
International Journal of Computational Intelligence Systems, 2022 Electrical load forecasting is of vital importance in intelligent power management and has been a hot spot in industrial Internet application field. Due to the complex patterns and dynamics of the data, accurate short-term load forecasting is still a ...
Guangqi Zhang +3 more
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Soft computing based techniques for short-term load forecasting
, 2002 Neural networks are currently finding practical applications, ranging from 'soft' regulatory control in consumer products to accurate modelling of non-linear systems.
Anagnostakis, E.M. +3 more
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A Short-Term Load Forecasting Method Based on Load Curve Clustering and Elastic Net Analysis
Zhongguo dianli, 2020 A short-term load forecasting method based on load characteristics clustering and elastic net analysis is proposed in this paper. By analyzing and clustering the historical load characteristics, the annual days are classified and its clusters are ...
Bingjie JIN +4 more
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Zhejiang dianli, 2023 Accurate forecasting of short-term power load for industrial sectors plays a pivotal role in ensuring the safe and economic operation of regional power grids. To address this critical need， a short-term power load forecasting model in industries based on
YU Yinshu +4 more
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