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Advanced Search Results For "ELECTRIC power systems"

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 "ELECTRIC power systems"
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Full Data-Processing Power Load Forecasting Based on Vertical Federated Learning.

Publication Type: Academic Journal

Source(s): Journal of Electrical & Computer Engineering. 1/13/2023, Vol. 2023, p1-9. 9p.

Abstract: Power load forecasting (PLF) has a positive impact on the stability of power systems and can reduce the cost of power generation enterprises. To improve the forecasting accuracy, more information besides load data is necessary. In recent years, a novel...

Optimal Coordination of TCSC and PSS2B Controllers in Electric Power Systems Using MOPSO Multiobjective Algorithm.

Publication Type: Academic Journal

Source(s): International Transactions on Electrical Energy Systems. 11/28/2022, p1-18. 18p.

Abstract: Oscillations are an intrinsic phenomenon in interconnected power systems, leading to steady-state stability, safety decline, transmission power limitation, and electric power systems' ineffective exploitation by developing power systems, particularly b...

Short Term Load Forecasting under extensive Power Outages using Domestic Energy Meter Load Profile; A case study.

Publication Type: Academic Journal

Source(s): Journal of Engineering Research (2307-1877). 2022 Special Issue, Vol. 10, p1-12. 12p.

Abstract: Short-term load forecasting (STLF) is an obligatory and vibrant part of power system planning and dispatching. It is utilized for short and running targets in power system planning. Electricity consumption has nonlinear patterns due to its reliance on ...

Short-Term Prediction Method of Solar Photovoltaic Power Generation Based on Machine Learning in Smart Grid.

Publication Type: Academic Journal

Source(s): Mathematical Problems in Engineering. 9/12/2022, p1-10. 10p.

Authors:

Abstract: In order to improve the accuracy of ultra short-term power prediction of the photovoltaic power generation system, a short-term photovoltaic power prediction method based on an adaptive k-means and Gru machine learning model is proposed. This method fi...

Load Energy Forecasting based on a Hybrid PSO LSTM-AE Model.

Publication Type: Academic Journal

Source(s): Algerian Journal of Environmental Science & Technology. Mar2023, Vol. 9 Issue 1, p2886-2894. 9p.

Abstract: In the smart grid, the data collected from the smart meters can be used to develop an accurate energy consumption forecasting. A close prediction is beneficial in providing a good energy scheduling, making balance between demand and generation of power...

Improved Gradient-Based Optimizer for Modelling Thermal and Hydropower Plants.

Publication Type: Academic Journal

Source(s): International Transactions on Electrical Energy Systems. 9/22/2022, p1-22. 22p.

Abstract: Adequate and accurate models of thermal power plants (TPP) and hydropower plants (HPP) are of great importance for the optimal economic functioning of electric power systems. The extracted models have a direct impact on economic dispatch calculations. ...

New PSO-SVM Short-Term Wind Power Forecasting Algorithm Based on the CEEMDAN Model.

Publication Type: Academic Journal

Source(s): Journal of Electrical & Computer Engineering. 9/20/2022, Vol. 2022, p1-9. 9p.

Abstract: Accurate wind power forecasting can help reduce disturbance to the grid in wind power integration. In this paper, a short-term power forecasting model is established by using complete ensemble empirical mode decomposition adaptive noise (CEEMDAN) and n...

Three-Phase Load Prediction-Based Hybrid Convolution Neural Network Combined Bidirectional Long Short-Term Memory in Solar Power Plant.

Publication Type: Academic Journal

Source(s): International Transactions on Electrical Energy Systems. 9/16/2022, p1-15. 15p.

Abstract: The economic renewable energy generations have been rapidly developed because of the sharp reduction in the costs of solar panels. It is imperative to forecast the three-phase load power for more effective energy planning and optimization in a smart so...

Observations on Harmonics Summation in Transmission Systems: Alternative Aggregation Estimation.

Publication Type: Academic Journal

Source(s): International Transactions on Electrical Energy Systems. 11/3/2022, p1-13. 13p.

Abstract: The aggregation of harmonic components from different sources is one of the critical and challenging assessments in electric power systems. Harmonic summation analysis and estimation is not a simple task since there will be variations because of the gr...

Diffusion Convolutional Recurrent Neural Network-Based Load Forecasting During COVID-19 Pandemic Situation.

Publication Type: Academic Journal

Source(s): Revue d'Intelligence Artificielle. Oct2022, Vol. 36 Issue 5, p689-695. 7p.

Abstract: Infected by the novel coronavirus (COVID-19 - C-19) pandemic, worldwide energy generation and utilization have altered immensely. It remains unfamiliar in any case that traditional short-term load forecasting methodologies centered upon single-task, si...

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