Results 21 to 30 of about 8,580 (164)
Journal of Applied Science and Engineering, 2022 To enrich short-term load forecasting methods and improve forecasting accuracy, a short-term load forecasting method based on variational mode decomposition and chaotic grey wolf optimization (CGWO) improved random forest (RF) is proposed.
Fan Wang +3 more
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Comparison methods of short term electrical load forecasting
MATEC Web of Conferences, 2018 The supply of electricity that exceeds the load requirement results in the occurrence of electrical power losses. To provide the appropriate power supply to these needs, there must be a plan for the provision of electricity by making prediction or ...
Hartono, Marifa Ahmad Arif, Sadikin M.
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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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Data Selection for Short Term load forecasting
CoRR, 2019 Power load forecast with Machine Learning is a fairly mature application of artificial intelligence and it is indispensable in operation, control and planning. Data selection techniqies have been hardly used in this application. However, the use of such techniques could be beneficial provided the assumption that the data is identically distributed is ...
Nestor Pereira +4 more
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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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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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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 with dense average network [PDF]
Expert Systems with Applications, 2021 Abstract As an important part of the power system, power load forecasting directly affects the national economy. Small improvements in power load forecasts can save millions of dollars for the power industry. Therefore, improving the accuracy of power load forecasting has always been the pursuing goal for a power system.
Zhifang Liao +7 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
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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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