Finite-Element Discretization and Error Bounds for Numerical Optimization in Power Grid Forecasting in Ethiopia: APerspective

Power grid forecasting in Ethiopia requires accurate modelling to ensure efficient energy distribution and management. Finite-element methods were employed to discretize the complex system of power grids. A mathematical assumption was made about the grid's behaviour under varying conditions, and properties such as stability and convergence were verified through simulation. The finite-element method yielded a significant reduction in computational time compared to traditional numerical methods, enabling more efficient forecasting across different scenarios. This study demonstrates the effectiveness of using finite-element discretization for power-grid forecasting in Ethiopia, providing robust error bounds and enhancing model accuracy. Further research should focus on integrating real-world data into the simulation models to validate their predictive capabilities under actual conditions.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-12-12
DOI
https://doi.org/10.5281/zenodo.18700544
Primary Topic
Thermal Analysis in Power Transmission
Type
article
Field-Weighted Citation Impact
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article

Finite-Element Discretization and Error Bounds for Numerical Optimization in Power Grid Forecasting in Ethiopia: APerspective

Gebru Abera, Abebaw Teklemichael
Zenodo (CERN European Organization for Nuclear Research)
Thermal Analysis in Power Transmission
article

Finite-Element Discretization and Error Bounds for Numerical Optimization in Power Grid Forecasting in Ethiopia: APerspective

Gebru Abera, Abebaw Teklemichael
article en

Abstract

Power grid forecasting in Ethiopia requires accurate modelling to ensure efficient energy distribution and management. Finite-element methods were employed to discretize the complex system of power grids. A mathematical assumption was made about the grid's behaviour under varying conditions, and properties such as stability and convergence were verified through simulation. The finite-element method yielded a significant reduction in computational time compared to traditional numerical methods, enabling more efficient forecasting across different scenarios. This study demonstrates the effectiveness of using finite-element discretization for power-grid forecasting in Ethiopia, providing robust error bounds and enhancing model accuracy. Further research should focus on integrating real-world data into the simulation models to validate their predictive capabilities under actual conditions.

Zenodo (CERN European Organization for Nuclear Research)
Haramaya University (ET), University of Gondar (ET)
Affordable and clean energy
Openalex Percentile: Top 50%
Thermal Analysis in Power Transmission
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