Results 21 to 30 of about 108,466 (288)
Sensors, 2022 Short-term load forecasting is viewed as one promising technology for demand prediction under the most critical inputs for the promising arrangement of power plant units.
Lichao Sun +4 more
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Exploiting road traffic data for very short term load forecasting in smart grids [PDF]
, 2014 If accurate short term prediction of electricity consumption is available, the Smart Grid infrastructure can rapidly and reliably react to changing conditions.
Aparicio, J +5 more
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Multi-convolution feature extraction and recurrent neural network dependent model for short-term load forecasting [PDF]
, 2021 Load forecasting is critical for power system operation and market planning.With the increased penetration of renewable energy and the massive consumption of electric energy, improving load forecasting accuracy has become a dif cult task.
Goh, Hui Hwang +6 more
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Analysis load forecasting of power system using fuzzy logic and artificial neural network [PDF]
, 2017 Load forecasting is a vital element in the energy management of function and execution purpose throughout the energy power system. Power systems problems are complicated to solve because power systems are huge complex graphically widely distributed and ...
A Mostafa, Salama +7 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 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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Short-Term Power Load Forecasting Based on VMD-Pyraformer-Adan
IEEE Access, 2023 For the characteristics of fluctuation, periodicity and nonlinearity of power load data, this paper proposes a short-term power load forecasting model based on VMD-Pyraformer-Adan. Firstly, the variational modal decomposition (VMD) algorithm is used to modally decompose the electric load data, the over-zero rate and Pearson correlation coefficient are ...
Yihao Tang, Huafeng Cai
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Deep Forest Regression for Short-Term Load Forecasting of Power Systems [PDF]
IEEE Access, 2020 Deep neural networks of deep learning algorithms can be applied into regressions and classifications. While the regression performances and classification performances of the deep neural networks are depending on the hyper-parameters of the deep neural networks.
Linfei Yin +3 more
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Industrial Ultra-Short-Term Load Forecasting With Data Completion
IEEE Access, 2020 Accurate and efficient ultra-short-term load forecasting is crucial for industrial power users to have stabilized and optimized operations. In this paper, we develop novel strategies for industrial power users to handle their challenges in ultra-short ...
Haoyu Jiang +4 more
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Short-Term Load Forecasting Method Based on Feature Preference Strategy and LightGBM-XGboost
IEEE Access, 2022 Short term load forecasting is one of the important problems in power system. Accurate forecasting results can improve the flexibility of power market and resource utilization efficiency, which is of great significance to the efficient operation of power
Xiaotong Yao, Xiaoli Fu, Chaofei Zong
doaj +1 more source