Investigating Intelligent Forecasting and Optimization in Electrical Power Systems: A Comprehensive Review of Techniques and Applications DOI Creative Commons
S.M. Sharifhosseini,

Taher Niknam,

M.H. Taabodi

et al.

Energies, Journal Year: 2024, Volume and Issue: 17(21), P. 5385 - 5385

Published: Oct. 29, 2024

Electrical power systems are the lifeblood of modern civilization, providing essential energy infrastructure that powers our homes, industries, and technologies. As world increasingly relies on electricity, incorporate renewable sources, challenges have become more complex, necessitating advanced forecasting optimization to ensure effective operation sustainability. This review paper provides a comprehensive overview electrical delves into crucial roles play in ensuring future The examines various methodologies from traditional statistical approaches machine learning techniques, it explores importance forecasting. Additionally, offers an in-depth look at problems including economic dispatch, unit commitment, optimal flow, network reconfiguration. Classical methods newer such as meta-heuristic algorithms artificial intelligence-based techniques discussed. Furthermore, integration optimization, demonstrating how accurate forecasts can enhance effectiveness algorithms. serves reference for engineers developing sophisticated leading changing consumer behaviors, addressing environmental concerns, reliable, efficient, sustainable future.

Language: Английский

Investigating Intelligent Forecasting and Optimization in Electrical Power Systems: A Comprehensive Review of Techniques and Applications DOI Creative Commons
S.M. Sharifhosseini,

Taher Niknam,

M.H. Taabodi

et al.

Energies, Journal Year: 2024, Volume and Issue: 17(21), P. 5385 - 5385

Published: Oct. 29, 2024

Electrical power systems are the lifeblood of modern civilization, providing essential energy infrastructure that powers our homes, industries, and technologies. As world increasingly relies on electricity, incorporate renewable sources, challenges have become more complex, necessitating advanced forecasting optimization to ensure effective operation sustainability. This review paper provides a comprehensive overview electrical delves into crucial roles play in ensuring future The examines various methodologies from traditional statistical approaches machine learning techniques, it explores importance forecasting. Additionally, offers an in-depth look at problems including economic dispatch, unit commitment, optimal flow, network reconfiguration. Classical methods newer such as meta-heuristic algorithms artificial intelligence-based techniques discussed. Furthermore, integration optimization, demonstrating how accurate forecasts can enhance effectiveness algorithms. serves reference for engineers developing sophisticated leading changing consumer behaviors, addressing environmental concerns, reliable, efficient, sustainable future.

Language: Английский

Citations

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