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Can Machine Learning Help Keep the System Secure?: Power Systems and Change Addressing the Increasing Complexity and Uncertainty During the Energy Transition

Panagiotis N. Papadopoulos, Spyros Chatzivasileiadis, Antoine Marot

2024IEEE Power and Energy Magazine11 citationsDOIOpen Access PDF

Abstract

Power systems worldwide are going through unprecedented changes. Power generators have become much smaller and power systems much more complex. Thirty years ago, each country had only a few large power plants (<xref ref-type="fig" rid="fig1" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Figure 1</xref>) that could be controlled to the exact megawatt. Today though, power systems are much more different and include millions of devices, solar photovoltaic installations, onshore and offshore wind turbines, batteries, and electric vehicles inject or withdraw power when they can or when they want. Still, every consumer expects that when they plug in their devices there will be enough electricity.

Topics & Concepts

Transition (genetics)Energy transitionEnergy (signal processing)Computer scienceEnergy systemPower (physics)Artificial intelligenceMathematicsPhysicsMedicineChemistryAlternative medicineStatisticsQuantum mechanicsBiochemistryPanacea (medicine)GenePathologyGlobal Energy Security and Policy
Can Machine Learning Help Keep the System Secure?: Power Systems and Change Addressing the Increasing Complexity and Uncertainty During the Energy Transition | Litcius