Energy-Efficient ConvNets Through Approximate Computing
Addresses the energy consumption challenges of Convolutional Neural Networks (ConvNets) by proposing methods centered on approximate computing. It dem...
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Find all the Top AIEnergy & Utilities papers. Links to pdf, code repos and demos are provided.
Addresses the energy consumption challenges of Convolutional Neural Networks (ConvNets) by proposing methods centered on approximate computing. It dem...
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Explores the integration of machine learning (ML) techniques in the sustainable energy sector, particularly focusing on their role in facilitating the...
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The modular multilevel converter (MMC) is a topology that consists of a high number of capacitors, and degradation of capacitors can lead to converter...
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Harmonic instability occurs frequently in the power electronic converter system. This paper leverages multi-resolution dynamic mode decomposition (MR-...
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Proposes a gray-box stability analysis mechanism based on data-driven dynamic mode decomposition (DMD) for commercial grid-tied power electronics conv...
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The health status of power semiconductor devices in power converters is important but difficult to monitor. This paper analyzes the relationship betwe...
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The phase-locked loop (PLL) used in the doubly fed induction generator (DFIG) can cause frequency coupling phenomena, which will give negative resista...
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Accurate knowledge of the distribution system topology and parameters is required to achieve good voltage controls, but this is difficult to obtain in...
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Proposes a non-invasive fault location method for modular multilevel converters (MMC) considering light load conditions. The prior-art fault location ...
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High penetration of wind power with conventional grid following controls for inverter-based wind turbine generators (WTGs) weakens the power grid, cha...
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A multi-input multi-output based grid-forming (MIMO-GFM) converter has been proposed using multivariable feedback control, which has been proven as a ...
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Power systems are currently experiencing a transition towards decarbonisation of electrical generation through large-scale deployment of renewable ene...
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