Physics-informed machine learning for forecasting power exchanges at the interface between transmission and distribution systems

Rosseel, Arnaud; Bakhshideh Zad, Bashir; Vallée, François; De Grève, Zacharie

doi:10.1016/j.epsr.2024.111097

Electric Power Systems Research

2025

DOI: 10.1016/j.epsr.2024.111097

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Physics-informed machine learning for forecasting power exchanges at the interface between transmission and distribution systems

Arnaud Rosseel,

Bashir Bakhshideh Zad,

François Vallée

et al.

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Investigating Intelligent Forecasting and Optimization in Electrical Power Systems: A Comprehensive Review of Techniques and Applications

Sharifhosseini,

Niknam,

Taabodi

et al. 2024

Energies

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

show abstract

Investigating Intelligent Forecasting and Optimization in Electrical Power Systems: A Comprehensive Review of Techniques and Applications

Sharifhosseini,

Niknam,

Taabodi

et al. 2024

Energies

View full text Add to dashboard Cite

show abstract

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Physics-informed machine learning for forecasting power exchanges at the interface between transmission and distribution systems

Cited by 1 publication

References 11 publications

Investigating Intelligent Forecasting and Optimization in Electrical Power Systems: A Comprehensive Review of Techniques and Applications

Investigating Intelligent Forecasting and Optimization in Electrical Power Systems: A Comprehensive Review of Techniques and Applications

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