Results 31 to 40 of about 127,521 (300)
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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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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Energy Household Forecast with ANN for Demand Response and Demand Side Management [PDF]
, 2016 This paper presents a short term load forecasting with artificial neural networks. Despite the great imprevisibility, it is possible to forecast the electricity consumption of a household with some accuracy, similarly to that the electricity utilities ...
Carlos, Cardeira +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
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 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 Load Forecasting With Deep Residual Networks [PDF]
IEEE Transactions on Smart Grid, 2019 We present in this paper a model for forecasting short-term power loads based on deep residual networks. The proposed model is able to integrate domain knowledge and researchers' understanding of the task by virtue of different neural network building blocks.
Kunjin Chen +5 more
openaire +2 more sources
Short-term load forecasting using time series clustering
Optimization and Engineering, 2022 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Martins, Ana Alexandra +4 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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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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