{"total":51,"rows":[{"id":"2101.10025","title":"A Review of Graph Neural Networks and Their Applications in Power Systems","created":"2021-01-25","cited_by_count":63,"area":null},{"id":"2107.07738","title":"Privacy-preserving Spatiotemporal Scenario Generation of Renewable Energies: A Federated Deep Generative Learning Approach","created":"2021-07-16","cited_by_count":22,"area":null},{"id":"2106.09370","title":"A deep generative model for probabilistic energy forecasting in power systems: normalizing flows","created":"2021-06-17","cited_by_count":18,"area":null},{"id":"2304.05093","title":"Generative modeling for time series via Schr{\\\"o}dinger bridge","created":"2023-04-11","cited_by_count":18,"area":null},{"id":"2103.11870","title":"A Federated Learning Framework for Smart Grids: Securing Power Traces in Collaborative Learning","created":"2021-03-22","cited_by_count":11,"area":null},{"id":"2104.10410","title":"Principal Component Density Estimation for Scenario Generation Using Normalizing Flows","created":"2021-04-21","cited_by_count":10,"area":null},{"id":"2305.08885","title":"Smart Home Energy Management: VAE-GAN synthetic dataset generator and Q-learning","created":"2023-05-14","cited_by_count":9,"area":null},{"id":"2402.10977","title":"Generative AI and Process Systems Engineering: The Next Frontier","created":"2024-02-15","cited_by_count":9,"area":null},{"id":"2409.07637","title":"Weather-Informed Probabilistic Forecasting and Scenario Generation in Power Systems","created":"2024-09-11","cited_by_count":9,"area":null},{"id":"2201.07387","title":"Variational Autoencoder Generative Adversarial Network for Synthetic Data Generation in Smart Home","created":"2022-01-19","cited_by_count":8,"area":null},{"id":"2201.08671","title":"Random Noise vs State-of-the-Art Probabilistic Forecasting Methods : A Case Study on CRPS-Sum Discrimination Ability","created":"2022-01-21","cited_by_count":7,"area":null},{"id":"2206.02433","title":"Continuous and Distribution-free Probabilistic Wind Power Forecasting: A Conditional Normalizing Flow Approach","created":"2022-06-06","cited_by_count":7,"area":null},{"id":"2304.12076","title":"Customized Load Profiles Synthesis for Electricity Customers Based on Conditional Diffusion Models","created":"2023-04-24","cited_by_count":7,"area":"diffusion"},{"id":"2405.19464","title":"Leveraging Generative AI for Urban Digital Twins: A Scoping Review on the Autonomous Generation of Urban Data, Scenarios, Designs, and 3D City Models for Smart City Advancement","created":"2024-05-29","cited_by_count":7,"area":null},{"id":"2407.13538","title":"EnergyDiff: Universal Time-Series Energy Data Generation using Diffusion Models","created":"2024-07-18","cited_by_count":7,"area":"diffusion"},{"id":"2103.01904","title":"A Spectral Enabled GAN for Time Series Data Generation","created":"2021-03-02","cited_by_count":6,"area":null},{"id":"2110.14451","title":"Validation Methods for Energy Time Series Scenarios from Deep Generative Models","created":"2021-10-27","cited_by_count":5,"area":null},{"id":"2202.08524","title":"A Collection and Categorization of Open-Source Wind and Wind Power Datasets","created":"2022-02-17","cited_by_count":5,"area":null},{"id":"2404.00525","title":"Creating synthetic energy meter data using conditional diffusion and building metadata","created":"2024-03-31","cited_by_count":5,"area":"diffusion"},{"id":"2406.01913","title":"Generating Synthetic Net Load Data with Physics-informed Diffusion Model","created":"2024-06-04","cited_by_count":5,"area":"diffusion"},{"id":"2102.05313","title":"Conditional Loss and Deep Euler Scheme for Time Series Generation","created":"2021-02-10","cited_by_count":4,"area":null},{"id":"2107.02275","title":"PPGN: Physics-Preserved Graph Networks for Real-Time Fault Location in Distribution Systems with Limited Observation and Labels","created":"2021-07-05","cited_by_count":3,"area":null},{"id":"2204.02242","title":"Normalizing Flow-based Day-Ahead Wind Power Scenario Generation for Profitable and Reliable Delivery Commitments by Wind Farm Operators","created":"2022-04-05","cited_by_count":3,"area":null},{"id":"2309.14235","title":"Stackelberg Driver Model for Continual Policy Improvement in Scenario-Based Closed-Loop Autonomous Driving","created":"2023-09-25","cited_by_count":3,"area":"driving"},{"id":"2409.15631","title":"Data Augmentation for Sparse Multidimensional Learning Performance Data Using Generative AI","created":"2024-09-24","cited_by_count":3,"area":null},{"id":"2410.15379","title":"Synthetic Data Generation for Residential Load Patterns via Recurrent GAN and Ensemble Method","created":"2024-10-20","cited_by_count":3,"area":null},{"id":"2412.00718","title":"Well log data generation and imputation using sequence-based generative adversarial networks","created":"2024-12-01","cited_by_count":3,"area":null},{"id":"2503.22721","title":"PowerGNN: A Topology-Aware Graph Neural Network for Electricity Grids","created":"2025-03-26","cited_by_count":3,"area":null},{"id":"2108.00599","title":"Synthetic Active Distribution System Generation via Unbalanced Graph Generative Adversarial Network","created":"2021-08-02","cited_by_count":2,"area":null},{"id":"2206.00747","title":"SolarGAN: Synthetic Annual Solar Irradiance Time Series on Urban Building Facades via Deep Generative Networks","created":"2022-06-01","cited_by_count":2,"area":null},{"id":"2311.14033","title":"Multivariate Scenario Generation of Day-Ahead Electricity Prices using Normalizing Flows","created":"2023-11-23","cited_by_count":2,"area":null},{"id":"2506.11281","title":"Constrained Diffusion Models for Synthesizing Representative Power Flow Datasets","created":"2025-06-12","cited_by_count":2,"area":"diffusion"},{"id":"2212.10454","title":"Wind Power Scenario Generation Using Graph Convolutional Generative Adversarial Network","created":"2022-12-19","cited_by_count":1,"area":null},{"id":"2304.01409","title":"An Efficient Learning-Based Solver for Two-Stage DC Optimal Power Flow with Feasibility Guarantees","created":"2023-04-03","cited_by_count":1,"area":null},{"id":"2505.08082","title":"Fr\\'{e}chet Power-Scenario Distance: A Metric for Evaluating Generative AI Models across Multiple Time-Scales in Smart Grids","created":"2025-05-12","cited_by_count":1,"area":null},{"id":"2606.07457","title":"Time series Foundation Models based on Physics-Informed Synthetic Histories for Cold-Start Photovoltaic Forecasting","created":"2026-06-05","cited_by_count":1,"area":null},{"id":"2111.13812","title":"Achieving an Accurate Random Process Model for PV Power using Cheap Data: Leveraging the SDE and Public Weather Reports","created":"2021-11-27","cited_by_count":0,"area":null},{"id":"2203.06077","title":"Econometric Modeling of Intraday Electricity Market Price with Inadequate Historical Data","created":"2022-03-11","cited_by_count":0,"area":null},{"id":"2211.04584","title":"Energy System Digitization in the Era of AI: A Three-Layered Approach towards Carbon Neutrality","created":"2022-11-02","cited_by_count":0,"area":null},{"id":"2404.01646","title":"Transformer meets wcDTW to improve real-time battery bids: A new approach to scenario selection","created":"2024-04-02","cited_by_count":0,"area":null},{"id":"2501.14233","title":"A Data-driven Dynamic Temporal Correlation Modeling Framework for Renewable Energy Scenario Generation","created":"2025-01-24","cited_by_count":0,"area":null},{"id":"2503.07648","title":"The day-ahead scenario generation method for new energy based on an improved conditional generative diffusion model","created":"2025-03-06","cited_by_count":0,"area":"diffusion"},{"id":"2504.14300","title":"Learning and Generating Diverse Residential Load Patterns Using GAN with Weakly-Supervised Training and Weight Selection","created":"2025-04-19","cited_by_count":0,"area":null},{"id":"2506.08893","title":"Real-Time Cascade Mitigation in Power Systems Using Influence Graph Improved by Reinforcement Learning","created":"2025-06-10","cited_by_count":0,"area":null},{"id":"2508.00692","title":"Wind Power Scenario Generation based on the Generalized Dynamic Factor Model and Generative Adversarial Network","created":"2025-08-01","cited_by_count":0,"area":null},{"id":"2509.17119","title":"ScenGAN: Attention-Intensive Generative Model for Uncertainty-Aware Renewable Scenario Forecasting","created":"2025-09-21","cited_by_count":0,"area":null},{"id":"2601.21706","title":"SmartMeterFM: Unifying Smart Meter Data Generative Tasks Using Flow Matching Models","created":"2026-01-29","cited_by_count":0,"area":null},{"id":"2602.19522","title":"An LLM-Enabled Frequency-Aware Flow Diffusion Model for Natural-Language-Guided Power System Scenario Generation","created":"2026-02-23","cited_by_count":0,"area":"diffusion"},{"id":"2604.27182","title":"Preserving Temporal Dynamics in Time Series Generation","created":"2026-04-29","cited_by_count":0,"area":null},{"id":"2606.05649","title":"Diff2SP: Diffusion Models for Correlated Scenario Generation in Stochastic Programming","created":"2026-06-04","cited_by_count":0,"area":"diffusion"},{"id":"2609.23988","title":"The Operational Value of Spatial Dependence in Renewable Forecast Scenarios for Single-Period Economic Dispatch: A Controlled Ablation Study","created":"2026-09-21","cited_by_count":0,"area":null}],"next_cursor":null}