Results 31 to 40 of about 128,623 (299)
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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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 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
Short-Term Load Forecasting of Natural Gas with Deep Neural Network Regression [PDF]
, 2018 Deep neural networks are proposed for short-term natural gas load forecasting. Deep learning has proven to be a powerful tool for many classification problems seeing significant use in machine learning fields such as image recognition and speech ...
Brown, Ronald H. +2 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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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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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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Short term energy forecasting techniques for virtual power plants [PDF]
, 2016 YesThe advent of smart meter technology has enabled periodic monitoring of consumer energy consumption. Hence, short term energy forecasting is gaining more importance than conventional load forecasting.
Pillai, Prashant +4 more
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Short-Term Electric Load Forecasting Based on a Neural Fuzzy Network [PDF]
, 2003 Electric load forecasting is essential to improve the reliability of the ac power line data network and provide optimal load scheduling in an intelligent home system.
Lam, HK, Leung, FHF, Ling, SH, Tam, PKS
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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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