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Showing 215 results for "shaddin dughmi" in Engineering
Engineering Preprint PDF DOI

Load Block Modeling in Distribution Systems: Network Reconfiguration for Load Restoration

David M. Fobes, Harsha Nagarajan, Manuel Garcia, Robert Ferrando, Russell Bent · 2026

The distribution system restoration (DSR) problem has received considerable attention over the last decade or more. Solutions to the DSR problem identify the best set or sequence of actions to perform…

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Engineering Preprint PDF DOI

AC-OPF Feasibility Analysis and Sensitivity-Guided Capacitor Placement in a High-PV Islanded Microgrid

Aaron Jones, Marija Ilic · 2026

This paper presents a comparative AC Optimal Power Flow study on a real world city scale islanded microgrid with high solar PV penetration, implemented within a Digital Twin framework. Four objective …

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Engineering Preprint PDF DOI

Bridging Computational Fluid Dynamics Algorithm and Physics-Informed Learning: SIMPLE-PINN for Incompressible Navier-Stokes Equations

Chang Wei, Yuchen Fan, Chin Chun Ooi, Jian Cheng Wong, Heyang Wang, Pao-Hsiung Chiu · 2026

Physics-informed neural networks (PINNs) have shown promise for solving partial differential equations (PDEs) by directly embedding them into the loss function. Despite their notable success, existing…

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Engineering Preprint PDF DOI

A Model Predictive Control Approach to Dual-Axis Agrivoltaic Panel Tracking

Anna Stuhlmacher, Panupong Srisuthankul, Johanna L. Mathieu, Peter Seiler · 2026

Agrivoltaic systems--photovoltaic (PV) panels installed above agricultural land--have emerged as a promising dual-use solution to address competing land demands for food and energy production. In this…

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Engineering Preprint PDF DOI

Topology-Aware Reinforcement Learning over Graphs for Resilient Power Distribution Networks

Roshni Anna Jacob, Prithvi Poddar, Jaidev Goel, Souma Chowdhury, Yulia R. Gel, Jie Zhang · 2026

Extreme weather events and cyberattacks can cause component failures and disrupt the operation of power distribution networks (DNs), during which reconfiguration and load shedding are often adopted fo…

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Engineering Preprint PDF DOI

Tempered Christoffel-Weighted Polynomial Chaos Expansion for Resilience-Oriented Uncertainty Quantification

Mahsa Ebadat-Parast, Xiaozhe Wang · 2026

Accurate and efficient uncertainty quantification is essential for resilience assessment of modern power systems under high impact and low probability disturbances. Data driven sparse polynomial chaos…

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Engineering Preprint PDF DOI

Fine-Tuning LLMs to Generate Economical and Reliable Actions for the Power Grid

Mohamad Chehade, Hao Zhu · 2026

Public Safety Power Shutoffs (PSPS) force rapid topology changes that can render standard operating points infeasible, requiring operators to quickly identify corrective transmission switching actions…

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Engineering Preprint PDF DOI

Empirical Validation of a Dual-Defense Mechanism Reshaping Wholesale Electricity Price Dynamics in Singapore

Huang Zhenyu, Yuan Zhao · 2026

While ex-ante screening and static price caps are global standards for mitigating price volatility, Singapore's electricity market employs a unique dual-defense mechanism integrating vesting contracts…

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Engineering Preprint PDF DOI

Comparative Assessment of Look-Ahead Economic Dispatch and Ramp Products for Grid Flexibility

Qian Zhang, Le Xie, Long Zhao, Congcong Wang · 2026

High renewable penetration increases the frequency and magnitude of net-load ramps, stressing real-time flexibility. Two commonly deployed remedies are look-ahead economic dispatch (LAED) and ramp pro…

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Engineering Preprint PDF DOI

Cooperative Energy Scheduling of Multi-Microgrids Based on Risk-Sensitive Reinforcement Learning

Rongxiang Zhang, Bo Li, Jinghua Li, Yuguang Song, Ziqing Zhu, Wentao Yang, Zhengmao Li, Edris Pouresmaeil, Joshua Y. Kim · 2025

With the rapid development of distributed renewable energy, multi-microgrids play an increasingly important role in improving the flexibility and reliability of energy supply. Reinforcement learning h…

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Engineering Preprint PDF DOI

Hybrid Fuzzy Logic and Shading-Aware Particle Swarm Optimization for Dynamic Photovoltaic Shading Faults Mitigation

F. Philibert Andriniriniaimalaza, Nour Mohammad Murad (PIMENT), George Balan, Habachi Bilal (SPE), Nirilalaina Randriatefison, Abdel Khoodaruth, Charles Bernard Andrianirina, Blaise Ravelo (NUIST) · 2025

Shading faults remain one of the most critical challenges affecting photovoltaic (PV) system efficiency, as they not only reduce power generation but also disturb maximum power point tracking (MPPT). …

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Engineering Preprint PDF DOI

Sparse Neural Approximations for Bilevel Adversarial Problems in Power Grids

Young-ho Cho, Harsha Nagarajan, Deepjyoti Deka, Hao Zhu · 2025

The adversarial worst-case load shedding (AWLS) problem is pivotal for identifying critical contingencies under line outages. It is naturally cast as a bilevel program: the upper level simulates an at…

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Engineering Preprint PDF DOI

Physically-Based Simulation of Automotive LiDAR

L. Dudzik, M. Roschani, A. Sielemann, K. Trampert, J. Ziehn, J. Beyerer, C. Neumann · 2025

We present an analytic model for simulating automotive time-of-flight (ToF) LiDAR that includes blooming, echo pulse width, and ambient light, along with steps to determine model parameters systematic…

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Engineering Preprint PDF DOI

Adaptive Gradient Descent MPPT Algorithm With Complexity-Aware Benchmarking for Low-Power PV Systems

Kimia Ahmadi, Wouter A. Serdijn · 2025

This paper proposes a computationally efficient, real-time maximum power point tracking (MPPT) algorithm tailored for low-power photovoltaic (PV) systems operating under fast-changing irradiance and p…

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Engineering Preprint PDF DOI

High-resolution hierarchical PV system performance modeling in urban environments

Bowen Tian, Roel C.G.M. Loonen, Roland M.E. Valckenborg, Jan L.M. Hensen · 2025

Accurate performance modeling of PV systems in urban environments is a significant challenge due to complex partial shading. This study introduces a high-resolution, hierarchical modeling framework th…

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Engineering Preprint PDF DOI

LG-NuSegHop: A Local-to-Global Self-Supervised Pipeline For Nuclei Instance Segmentation

Vasileios Magoulianitis, Catherine A. Alexander, Jiaxin Yang, C.-C. Jay Kuo · 2025

Nuclei segmentation is the cornerstone task in histology image reading, shedding light on the underlying molecular patterns and leading to disease or cancer diagnosis. Yet, it is a laborious task that…

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Engineering Preprint PDF DOI

Theoretical and Experimental Limitations of RoCoF Estimation

Gutierrez-Florensa, F. Sanniti, D. Tedeschi, L. Sigrist, A. Ortega, F. Milano · 2025

A precise estimation of the Rate of Change of Frequency (RoCoF) is crucial for secure power system operation. In fact, RoCoF is strictly related to the amount of the available physical and/or virtual …

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Engineering Preprint PDF DOI

Maximal Load Shedding Verification for Neural Network Models of AC Line Switching

Samuel Chevalier, Duncan Starkenburg, Robert Parker, Noah Rhodes · 2025

Solving for globally optimal line switching decisions in AC transmission grids can be intractability slow. Machine learning (ML) models, meanwhile, can be trained to predict near-optimal decisions at …

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Engineering Preprint PDF DOI

AC Dynamics-aware Trajectory Optimization with Binary Enforcement for Adaptive UFLS Design

Muhammad Hamza Ali, Amritanshu Pandey · 2025

The high penetration of distributed energy resources, resulting in backfeed of power at the transmission and distribution interface, is causing conventional underfrequency load shedding (UFLS) schemes…

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Engineering Preprint PDF DOI

A solution to the mystery of the sub-harmonic series via a linear model of the cochlea

Ugo Boscain (SU, CNRS, CaGE, LJLL (UMR_7598)), Xiangyu Ma (SU, CNRS, CaGE, LJLL (UMR_7598)), Dario Prandi (L2S, CNRS), Giuseppina Turco (LLF - UMR7110, CNRS, UPCite) · 2025

In this paper, we study a simple linear model of the cochlea as a set of vibrating strings. We make hypothesis that the information sent to the auditory cortex is the energy stored in the strings and …

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