1 citations · 2 across the 13 of their papers we have counts for
15 papers
Infrastructure-Native Computing with Electric Power Grids
Yubo Song, Subham Sahoo, Freja Basse
Computing is conventionally implemented by hardware engineered for information processing. Here we investigate infrastructure-native computing: the use of a physical system built f…
From Grid to Chip: Power Architecture, Stability, and Flexibility of AI Data Centers
Yubo Song, Rui Kong, Takuro Umihara +3
The rapid growth of artificial intelligence (AI) computing is transforming data centers into large, dynamic electrical loads. Their deployment is primarily constrained by energy av…
Quantized Probabilistic AI for Gear Fault Diagnosis in Motor Drives
Subham Sahoo, Huai Wang, Frede Blaabjerg
Deploying large artificial intelligence (AI) models in power electronics often demands high computational resources. Driven by the quantization paradigm, this digest proposes a qua…
Unlocking Embodied Probabilistic Computational Features in Motor Drives
Subham Sahoo, Huai Wang, Frede Blaabjerg
Artificial intelligence (AI)-driven fault diagnosis in motor drives often requires significant computational efforts and time for re-training, in addition to the limited knowledge…
Unlocking Innate Computing Abilities in Electric Grids
Yubo Song, Subham Sahoo
Electric power grids are engineered energy systems whose forward electrical responses embody high-dimensional and memory-bearing transformations of input signals. In this work, we…
Carbon and Reliability-Aware Computing for Heterogeneous Data Centers
Yichao Zhang, Yubo Song, Subham Sahoo
The rapid expansion of data centers (DCs) has intensified energy and carbon footprint, incurring a massive environmental computing cost. While carbon-aware workload migration strat…
Data-Driven Graph Switching for Cyber-Resilient Control in Microgrids
Suman Rath, Subham Sahoo
Distributed microgrids are conventionally dependent on communication networks to achieve secondary control objectives. This dependence makes them vulnerable to stealth data integri…
Spike Talk in Power Electronic Grids -- Leveraging Post Moore's Computing Laws
Yubo Song, Subham Sahoo
Emerging distributed generation demands highly reliable and resilient coordinating control in microgrids. To improve on these aspects, spiking neural network is leveraged, as a gri…
Inferring Ingrained Remote Information in AC Power Flows Using Neuromorphic Modality Regime
Xiaoguang Diao, Yubo Song, Subham Sahoo
In this paper, we infer remote measurements such as remote voltages and currents online with change in AC power flows using spiking neural network (SNN) as grid-edge technology for…
On Noise Resiliency of Neuromorphic Inferential Communication in Microgrids
Yubo Song, Subham Sahoo, Xiaoguang Diao
Neuromorphic computing leveraging spiking neural network has emerged as a promising solution to tackle the security and reliability challenges with the conventional cyber-physical…
Dynamic Quantum Key Distribution for Microgrids with Distributed Error Correction
Suman Rath, Neel Kanth Kundu, Subham Sahoo
Quantum key distribution (QKD) has often been hailed as a reliable technology for secure communication in cyber-physical microgrids. Even though unauthorized key measurements are n…
Stability-Oriented Prediction Horizons Design of Generalized Predictive Control for DC/DC Boost Converter
Yuan Li, Subham Sahoo, Sergio Vazquez +3
This paper introduces a novel approach in designing prediction horizons on a generalized predictive control for a DC/DC boost converter. This method involves constructing a closed-…
A Data-Driven Condition Monitoring Method for Capacitor in Modular Multilevel Converter (MMC)
Shuyu Ou, Mahyar Hassanifar, Martin Votava +5
The modular multilevel converter (MMC) is a topology that consists of a high number of capacitors, and degradation of capacitors can lead to converter malfunction, limiting the ove…
Data-Driven Stability Assessment of Power Electronic Converters with Multi-Resolution Dynamic Mode Decomposition
Rui Kong, Subham Sahoo, Yongjie Liu +1
Harmonic instability occurs frequently in the power electronic converter system. This paper leverages multi-resolution dynamic mode decomposition (MR-DMD) as a data-driven diagnost…
A Gray-Box Stability Analysis Mechanism for Power Electronic Converters
Rui Kong, Subham Sahoo, Yubo Song +1
This paper proposes a gray-box stability analysis mechanism based on data-driven dynamic mode decomposition (DMD) for commercial grid-tied power electronics converters with limited…