Image de couverture de livre

Model-Informed Generative Adversarial Network (MI-GAN) for Learning Optimal Power Flow

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Li, Yuxuan, Zhao, Chaoyue, Liu, Chenang
Format:	Preprint
Publié:	2022
Sujets:	Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Attention-stacked Generative Adversarial Network (AS-GAN)-empowered Sensor Data Augmentation for Online Monitoring of Manufacturing System
par: Li, Yuxuan, et autres
Publié: (2023)

ADs: Active Data-sharing for Data Quality Assurance in Advanced Manufacturing Systems
par: Zhao, Yue, et autres
Publié: (2024)

Pseudo Replay-based Class Continual Learning for Online New Category Anomaly Detection in Advanced Manufacturing
par: Li, Yuxuan, et autres
Publié: (2023)

DiffPoGAN: Diffusion Policies with Generative Adversarial Networks for Offline Reinforcement Learning
par: Hu, Xuemin, et autres
Publié: (2024)

CoDeGAN: Contrastive Disentanglement for Generative Adversarial Network
par: Zhao, Jiangwei, et autres
Publié: (2021)

MCL-GAN: Generative Adversarial Networks with Multiple Specialized Discriminators
par: Choi, Jinyoung, et autres
Publié: (2021)

zGAN: An Outlier-focused Generative Adversarial Network For Realistic Synthetic Data Generation
par: Azimi, Azizjon, et autres
Publié: (2024)

KI-GAN: Knowledge-Informed Generative Adversarial Networks for Enhanced Multi-Vehicle Trajectory Forecasting at Signalized Intersections
par: Wei, Chuheng, et autres
Publié: (2024)

ChronoGAN: Supervised and Embedded Generative Adversarial Networks for Time Series Generation
par: EskandariNasab, MohammadReza, et autres
Publié: (2024)

Risk Management with Feature-Enriched Generative Adversarial Networks (FE-GAN)
par: Chen, Ling
Publié: (2024)

PhotoGAN: Generative Adversarial Neural Network Acceleration with Silicon Photonics
par: Suresh, Tharini, et autres
Publié: (2025)

Adversarial Robustness of NTK Neural Networks
par: Hou, Yuxuan
Publié: (2026)

PlantPlotGAN: A Physics-Informed Generative Adversarial Network for Plant Disease Prediction
par: Lopes, Felipe A., et autres
Publié: (2023)

DSF-GAN: DownStream Feedback Generative Adversarial Network
par: Perets, Oriel, et autres
Publié: (2024)

PrAda-GAN: A Private Adaptive Generative Adversarial Network with Bayes Network Structure
par: Jia, Ke, et autres
Publié: (2025)

LUMINA: A Grid Foundation Model for Benchmarking AC Optimal Power Flow Surrogate Learning
par: Jin, Hongwei, et autres
Publié: (2026)

AutoGAN-Distiller: Searching to Compress Generative Adversarial Networks
par: Fu, Yonggan, et autres
Publié: (2020)

SeriesGAN: Time Series Generation via Adversarial and Autoregressive Learning
par: EskandariNasab, MohammadReza, et autres
Publié: (2024)

Synthesis of pulses from particle detectors with a Generative Adversarial Network (GAN)
par: Regadío, Alberto, et autres
Publié: (2024)

QCQP-Net: Reliably Learning Feasible Alternating Current Optimal Power Flow Solutions Under Constraints
par: Zeng, Sihan, et autres
Publié: (2024)

Graph Neural Network-Accelerated Network-Reconfigured Optimal Power Flow
par: Pham, Thuan, et autres
Publié: (2024)

MALLM-GAN: Multi-Agent Large Language Model as Generative Adversarial Network for Synthesizing Tabular Data
par: Ling, Yaobin, et autres
Publié: (2024)

Neural Network Optimal Power Flow via Energy Gradient Flow and Unified Dynamics
par: Liu, Xuezhi
Publié: (2025)

Towards Generalization of Graph Neural Networks for AC Optimal Power Flow
par: Arowolo, Olayiwola, et autres
Publié: (2025)

Bt-GAN: Generating Fair Synthetic Healthdata via Bias-transforming Generative Adversarial Networks
par: Ramachandranpillai, Resmi, et autres
Publié: (2024)

Reduced Optimal Power Flow Using Graph Neural Network
par: Pham, Thuan, et autres
Publié: (2022)

Scaling Laws of Machine Learning for Optimal Power Flow
par: Liu, Xinyi, et autres
Publié: (2026)

CoLoR-GAN: Continual Few-Shot Learning with Low-Rank Adaptation in Generative Adversarial Networks
par: Ali, Munsif, et autres
Publié: (2025)

Advancing Additive Manufacturing through Deep Learning: A Comprehensive Review of Current Progress and Future Challenges
par: Saimon, Amirul Islam, et autres
Publié: (2024)

MGMD-GAN: Generalization Improvement of Generative Adversarial Networks with Multiple Generator Multiple Discriminator Framework Against Membership Inference Attacks
par: Arefin, Nirob
Publié: (2024)

Lang2Str: Two-Stage Crystal Structure Generation with LLMs and Continuous Flow Models
par: Liu, Cong, et autres
Publié: (2026)

Auxiliary Discrminator Sequence Generative Adversarial Networks (ADSeqGAN) for Few Sample Molecule Generation
par: Tang, Haocheng, et autres
Publié: (2025)

CFTS-GAN: Continual Few-Shot Teacher Student for Generative Adversarial Networks
par: Ali, Munsif, et autres
Publié: (2024)

SenseFlow: A Physics-Informed and Self-Ensembling Iterative Framework for Power Flow Estimation
par: Zhao, Zhen, et autres
Publié: (2025)

Implementing Quantum Generative Adversarial Network (qGAN) and QCBM in Finance
par: Ganguly, Santanu
Publié: (2023)

SSI-GAN: Semi-Supervised Swin-Inspired Generative Adversarial Networks for Neuronal Spike Classification
par: Sharifrazi, Danial, et autres
Publié: (2026)

BRSR-OpGAN: Blind Radar Signal Restoration using Operational Generative Adversarial Network
par: Zahid, Muhammad Uzair, et autres
Publié: (2024)

RainScaleGAN: a Conditional Generative Adversarial Network for Rainfall Downscaling
par: Iotti, Marcello, et autres
Publié: (2025)

An Unsupervised Time Series Anomaly Detection Approach for Efficient Online Process Monitoring of Additive Manufacturing
par: Cantu, Frida, et autres
Publié: (2025)

SFC-GAN: A Generative Adversarial Network for Brain Functional and Structural Connectome Translation
par: Tan, Yee-Fan, et autres
Publié: (2025)