Search Results for author: Ning Lu

Found 46 papers, 8 papers with code

Multi-Feeder Restoration using Multi-Microgrid Formation and Management

no code implementations26 Nov 2023 Valliappan Muthukaruppan, Rongxing Hu, Ashwin Shirsat, Mesut Baran, Ning Lu, Wenyuan Tang, David Lubkeman

This papers highlights the benefit of coordinating resources on mulitple active distribution feeders during severe long duration outages through multi-microgrid formation.

energy management Management

BERT-PIN: A BERT-based Framework for Recovering Missing Data Segments in Time-series Load Profiles

no code implementations26 Oct 2023 Yi Hu, Kai Ye, Hyeonjin Kim, Ning Lu

To adopt a standard Transformer model structure for profile inpainting, we segment the load and temperature profiles into line segments, treating each segment as a word and the entire profile as a sentence.

Sentence Super-Resolution +1

Imperfect Digital Twin Assisted Low Cost Reinforcement Training for Multi-UAV Networks

no code implementations25 Oct 2023 Xiucheng Wang, Nan Cheng, Longfei Ma, Zhisheng Yin, Tom. Luan, Ning Lu

Two cascade neural networks (NN) are used to optimize the joint number of virtually generated UAVs, the DT construction cost, and the performance of multi-UAV networks.

reinforcement-learning

Adopting Dynamic VAR Compensators to Mitigate PV Impacts on Unbalanced Distribution Systems

no code implementations12 Sep 2023 Han Pyo Lee, Keith DSouza, Ke Chen, Ning Lu, Mesut Baran

However, the effectiveness of this scheme is not well documented, and there is limited literature on alternative control and placement schemes that can maximize the effective use of a DVC.

Under-frequency Load Shedding for Power Reserve Management in Islanded Microgrids

no code implementations3 Sep 2023 Bei Xu, Victor Paduani, Qi Xiao, Lidong Song, David Lubkeman, Ning Lu

Furthermore, in comparison to sectionalizer-based UFLS, using smart meters or controllable loads for UFLS allows for a more accurate per-phase load shedding in a progressive manner.

Management

PBFormer: Capturing Complex Scene Text Shape with Polynomial Band Transformer

no code implementations29 Aug 2023 Ruijin Liu, Ning Lu, Dapeng Chen, Cheng Li, Zejian yuan, Wei Peng

We present PBFormer, an efficient yet powerful scene text detector that unifies the transformer with a novel text shape representation Polynomial Band (PB).

Self-distillation Regularized Connectionist Temporal Classification Loss for Text Recognition: A Simple Yet Effective Approach

1 code implementation17 Aug 2023 Ziyin Zhang, Ning Lu, Minghui Liao, Yongshuai Huang, Cheng Li, Min Wang, Wei Peng

It incorporates a framewise regularization term in CTC loss to emphasize individual supervision, and leverages the maximizing-a-posteriori of latent alignment to solve the inconsistency problem that arises in distillation between CTC-based models.

Large Language Models can be Guided to Evade AI-Generated Text Detection

1 code implementation18 May 2023 Ning Lu, Shengcai Liu, Rui He, Qi Wang, Yew-Soon Ong, Ke Tang

Large language models (LLMs) have shown remarkable performance in various tasks and have been extensively utilized by the public.

Question Answering Text Detection

ICDAR 2023 Competition on Reading the Seal Title

no code implementations24 Apr 2023 Wenwen Yu, MingYu Liu, Mingrui Chen, Ning Lu, Yinlong Wen, Yuliang Liu, Dimosthenis Karatzas, Xiang Bai

To promote research in this area, we organized ICDAR 2023 competition on reading the seal title (ReST), which included two tasks: seal title text detection (Task 1) and end-to-end seal title recognition (Task 2).

Optical Character Recognition (OCR) Task 2 +1

Improving Table Structure Recognition with Visual-Alignment Sequential Coordinate Modeling

no code implementations CVPR 2023 Yongshuai Huang, Ning Lu, Dapeng Chen, Yibo Li, Zecheng Xie, Shenggao Zhu, Liangcai Gao, Wei Peng

The ablation study also validates that the proposed coordinate sequence decoder and the visual-alignment loss are the keys to the success of our method.

Digital Twin-Assisted Knowledge Distillation Framework for Heterogeneous Federated Learning

no code implementations10 Mar 2023 Xiucheng Wang, Nan Cheng, Longfei Ma, Ruijin Sun, Rong Chai, Ning Lu

In this paper, to deal with the heterogeneity in federated learning (FL) systems, a knowledge distillation (KD) driven training framework for FL is proposed, where each user can select its neural network model on demand and distill knowledge from a big teacher model using its own private dataset.

Federated Learning Knowledge Distillation +2

Less is More: Understanding Word-level Textual Adversarial Attack via n-gram Frequency Descend

no code implementations6 Feb 2023 Ning Lu, Shengcai Liu, Zhirui Zhang, Qi Wang, Haifeng Liu, Ke Tang

Intuitively, this finding suggests a natural way to improve model robustness by training the model on the $n$-FD examples.

Adversarial Attack

A Novel Feeder-level Microgrid Unit Commitment Algorithm Considering Cold-load Pickup, Phase Balancing, and Reconfiguration

no code implementations19 Jan 2023 Rongxing Hu, Ashwin Shirsat, Valliappan Muthukaruppan, Si Zhang, Yiyan Li, Lidong Song, Bei Xu, Victor Paduani, Ning Lu, Mesut Baran, Wenyuan Tang

This paper presents a novel 2-stage microgrid unit commitment (Microgrid-UC) algorithm considering cold-load pickup (CLPU) effects, three-phase load balancing requirements, and feasible reconfiguration options.

Scheduling

Design Considerations of a Coordinative Demand Charge Mitigation Strategy

no code implementations16 Dec 2022 Rongxing Hu, Kai Ye, Hyeonjin Kim, Hanpyo Lee, Ning Lu, Di wu, PJ Rehm

This paper presents a coordinative demand charge mitigation (DCM) strategy for reducing electricity consumption during system peak periods.

energy management Management

A Modified Sequence-to-point HVAC Load Disaggregation Algorithm

no code implementations9 Dec 2022 Kai Ye, Hyeonjin Kim, Yi Hu, Ning Lu, Di wu, PJ Rehm

This paper presents a modified sequence-to-point (S2P) algorithm for disaggregating the heat, ventilation, and air conditioning (HVAC) load from the total building electricity consumption.

Optimal Control Design for Operating a Hybrid PV Plant with Robust Power Reserves for Fast Frequency Regulation Services

no code implementations7 Dec 2022 Victor Paduani, Qi Xiao, Bei Xu, David Lubkeman, Ning Lu

The controller's objective is to control the PV and BESS to follow power setpoints sent to the the hybrid system while maintaining desired power reserves and meeting system operational constraints.

An Iterative Bidirectional Gradient Boosting Approach for CVR Baseline Estimation

no code implementations7 Nov 2022 Han Pyo Lee, Yiyan Li, Lidong Song, Di wu, Ning Lu

In contrast to many existing methods, we treat CVR baseline estimation as a missing data retrieval problem.

SigT: An Efficient End-to-End MIMO-OFDM Receiver Framework Based on Transformer

1 code implementation2 Nov 2022 Ziyou Ren, Nan Cheng, Ruijin Sun, Xiucheng Wang, Ning Lu, Wenchao Xu

Multiple-input multiple-output and orthogonal frequency-division multiplexing (MIMO-OFDM) are the key technologies in 4G and subsequent wireless communication systems.

MultiLoad-GAN: A GAN-Based Synthetic Load Group Generation Method Considering Spatial-Temporal Correlations

no code implementations3 Oct 2022 Yi Hu, Yiyan Li, Lidong Song, Han Pyo Lee, PJ Rehm, Matthew Makdad, Edmond Miller, Ning Lu

This paper presents a deep-learning framework, Multi-load Generative Adversarial Network (MultiLoad-GAN), for generating a group of synthetic load profiles (SLPs) simultaneously.

Data Augmentation Generative Adversarial Network

A Novel Power-Band based Data Segmentation Method for Enhancing Meter Phase and Transformer-Meter Pairing Identification

no code implementations1 Oct 2022 Han Pyo Lee, PJ Rehm, Matthew Makdad, Edmond Miller, Ning Lu

To ensure the credibility of the identification results, utility engineers conduct field verification for all 13 feeders.

An ICA-Based HVAC Load Disaggregation Method Using Smart Meter Data

no code implementations19 Sep 2022 Hyeonjin Kim, Kai Ye, Han Pyo Lee, Rongxing Hu, Ning Lu, Di wu, PJ Rehm

The residual load profiles are processed using ICA for HVAC load extraction.

Feeder Microgrid Management on an Active Distribution System during a Severe Outage

no code implementations23 Aug 2022 Valliappan Muthukaruppan, Ashwin Shirsat, Rongxing Hu, Victor Paduani, Bei Xu, Yiyan Li, Mesut Baran, Ning Lu, David Lubkeman, Wenyuan Tang

The management of such feeder-level microgrid has however many challenges, such as limited resources that can be deployed on the feeder quickly, and the limited real-time monitoring and control on the distribution system.

energy management Management

On-Demand Resource Management for 6G Wireless Networks Using Knowledge-Assisted Dynamic Neural Networks

no code implementations2 Aug 2022 Longfei Ma, Nan Cheng, Xiucheng Wang, Ruijin Sun, Ning Lu

On-demand service provisioning is a critical yet challenging issue in 6G wireless communication networks, since emerging services have significantly diverse requirements and the network resources become increasingly heterogeneous and dynamic.

Decision Making Management

Training Quantized Deep Neural Networks via Cooperative Coevolution

1 code implementation23 Dec 2021 Fu Peng, Shengcai Liu, Ning Lu, Ke Tang

This work considers a challenging Deep Neural Network(DNN) quantization task that seeks to train quantized DNNs without involving any full-precision operations.

Evolutionary Algorithms Quantization

Reinforcement Learning for Volt-Var Control: A Novel Two-stage Progressive Training Strategy

no code implementations23 Nov 2021 Si Zhang, Mingzhi Zhang, Rongxing Hu, David Lubkeman, Yunan Liu, Ning Lu

In Stage 1(individual training), while holding all the other agents inactive, we separately train each agent to obtain its own optimal VVC actions in the action space: {consume, generate, do-nothing}.

reinforcement-learning Reinforcement Learning (RL)

A Novel Data Segmentation Method for Data-driven Phase Identification

no code implementations20 Nov 2021 Han Pyo Lee, Mingzhi Zhang, Mesut Baran, Ning Lu, PJ Rehm, Edmond Miller, Matthew Makdad

To improve the identification accuracy, a data segmentation method is proposed to exclude data segments that are collected when the voltage correlation between smart meters on the same phase are weakened.

Clustering

Novel Real-Time EMT-TS Modeling Architecture for Feeder Blackstart Simulations

no code implementations19 Nov 2021 Victor Paduani, Bei Xu, David Lubkeman, Ning Lu

This paper presents the development and benchmarking of a novel real-time electromagnetic-transient and transient-stability (EMT-TS) modeling architecture for distribution feeder restoration studies.

Benchmarking

A Novel Grid-forming Voltage Control Strategy for Supplying Unbalanced Microgrid Loads Using Inverter-based Resources

no code implementations18 Nov 2021 Bei Xu, Victor Paduani, Hui Yu, David Lubkeman, Ning Lu

Compared with the conventional rotating reference frame ($dq$) based control scheme, the proposed scheme shows better dynamic performance.

Scheduling

A TCN-based Hybrid Forecasting Framework for Hours-ahead Utility-scale PV Forecasting

no code implementations16 Nov 2021 Yiyan Li, Lidong Song, Si Zhang, Laura Kraus, Taylor Adcox, Roger Willardson, Abhishek Komandur, Ning Lu

The hybrid framework consists of two forecasting models: a physics-based trend forecasting (TF) model and a data-driven cloud-event forecasting (CF) model.

Effective and Imperceptible Adversarial Textual Attack via Multi-objectivization

1 code implementation2 Nov 2021 Shengcai Liu, Ning Lu, Wenjing Hong, Chao Qian, Ke Tang

The field of adversarial textual attack has significantly grown over the last few years, where the commonly considered objective is to craft adversarial examples (AEs) that can successfully fool the target model.

Semantic Similarity Semantic Textual Similarity

A Data-driven Probabilistic-based Flexibility Region Estimation Method for Aggregated Distributed Energy Resources

no code implementations14 Oct 2021 Mingzhi Zhang, Xiangqi Zhu, Ning Lu

At the DER-level, a two-dimensional flexibility region can be formed based on the real and reactive power regulating limits of each DER considering forecast uncertainty.

Efficient Combinatorial Optimization for Word-level Adversarial Textual Attack

no code implementations6 Sep 2021 Shengcai Liu, Ning Lu, Cheng Chen, Ke Tang

Over the past few years, various word-level textual attack approaches have been proposed to reveal the vulnerability of deep neural networks used in natural language processing.

Combinatorial Optimization

ProfileSR-GAN: A GAN based Super-Resolution Method for Generating High-Resolution Load Profiles

no code implementations18 Jul 2021 Lidong Song, Yiyan Li, Ning Lu

When training the ProfileSR-GAN generator network, to make the generated profiles more realistic, we introduce two new shape-related losses in addition to conventionally used content loss: adversarial loss and feature-matching loss.

Generative Adversarial Network Non-Intrusive Load Monitoring +3

A Unified Power-Setpoint Tracking Algorithm for Utility-Scale PV Systems with Power Reserves and Fast Frequency Response Capabilities

no code implementations11 May 2021 Victor Paduani, Hui Yu, Bei Xu, Ning Lu

By using MPPE to decouple the impact of irradiance changes on the measured PV output power, we develop a fast convergence technique for tracking power-reference changes within three FPPT iterations.

Point Tracking

A Two-Stage Coordinative Zonal Volt/VAR Control Scheme for Distribution Systems with High Inverter-based Resources

no code implementations4 May 2021 Asmaa Alrushoud, Ning Lu

IBR are used in the first stage to regulate voltage changes continuously and VR are used in the second stage to regulate large voltage deviations.

Time Series Time Series Analysis

A Zonal Volt/VAR Control Mechanism for High PV Penetration Distribution Systems

no code implementations31 Dec 2020 Asmaa Alrushoud, Catie McEntee, Ning Lu

Because each zone is weakly coupled, voltage of each zone can be controlled independently.

Clustering

Hierarchical Multi-timescale Framework For Operation of Dynamic Community Microgrid

no code implementations19 Nov 2020 Ashwin Shirsat, Valliappan Muthukaruppan, Rongxing Hu, Ning Lu, Mesut Baran, David Lubkeman, Wenyuan Tang

The intermediate near real-time scheduling stage updates the DA schedule closer to the dispatch time, followed by the RT dispatch stage.

Scheduling

ACDER: Augmented Curiosity-Driven Experience Replay

no code implementations16 Nov 2020 Boyao Li, Tao Lu, Jiayi Li, Ning Lu, Yinghao Cai, Shuo Wang

Exploration in environments with sparse feedback remains a challenging research problem in reinforcement learning (RL).

Reinforcement Learning (RL)

A Meta-learning based Distribution System Load Forecasting Model Selection Framework

no code implementations25 Sep 2020 Yiyan Li, Si Zhang, Rongxing Hu, Ning Lu

This paper presents a meta-learning based, automatic distribution system load forecasting model selection framework.

Load Forecasting Meta-Learning +1

Synthetic-to-Real Unsupervised Domain Adaptation for Scene Text Detection in the Wild

1 code implementation3 Sep 2020 Weijia Wu, Ning Lu, Enze Xie

To address the severe domain distribution mismatch, we propose a synthetic-to-real domain adaptation method for scene text detection, which transfers knowledge from synthetic data (source domain) to real data (target domain).

Adversarial Text Scene Text Detection +2

PICK: Processing Key Information Extraction from Documents using Improved Graph Learning-Convolutional Networks

2 code implementations16 Apr 2020 Wenwen Yu, Ning Lu, Xianbiao Qi, Ping Gong, Rong Xiao

Computer vision with state-of-the-art deep learning models has achieved huge success in the field of Optical Character Recognition (OCR) including text detection and recognition tasks recently.

Graph Learning Key Information Extraction +3

FeederGAN: Synthetic Feeder Generation via Deep Graph Adversarial Nets

no code implementations3 Apr 2020 Ming Liang, Yao Meng, Jiyu Wang, David Lubkeman, Ning Lu

This paper presents a novel, automated, generative adversarial networks (GAN) based synthetic feeder generation mechanism, abbreviated as FeederGAN.

Attribute

MASTER: Multi-Aspect Non-local Network for Scene Text Recognition

7 code implementations7 Oct 2019 Ning Lu, Wenwen Yu, Xianbiao Qi, Yihao Chen, Ping Gong, Rong Xiao, Xiang Bai

Attention-based scene text recognizers have gained huge success, which leverages a more compact intermediate representation to learn 1d- or 2d- attention by a RNN-based encoder-decoder architecture.

Scene Text Recognition

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