On the public citation graph

A Two-Stage Generative Architecture for Renewable Scenario Generation: Combining Temporal Scenario Representation and Diffusion Models

https://doi.org/10.2139/ssrn.4898980
0 signed · 27 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/er.6340openalex-snapshot
Day‐ahead renewable scenario forecasts based on generative adversarial networks
inferredcites →https://doi.org/10.1007/978-3-319-24574-4_28openalex-snapshot
U-Net: Convolutional Networks for Biomedical Image Segmentation
inferredcites →https://doi.org/10.1016/j.apenergy.2015.03.121openalex-snapshot
The Wind Integration National Dataset (WIND) Toolkit
inferredcites →https://doi.org/10.1016/j.apenergy.2019.03.112openalex-snapshot
Scenario generation of aggregated Wind, Photovoltaics and small Hydro production for power systems applications
inferredcites →https://doi.org/10.1016/j.apenergy.2021.117871openalex-snapshot
A deep generative model for probabilistic energy forecasting in power systems: normalizing flows
inferredcites →https://doi.org/10.1016/j.epsr.2023.109710openalex-snapshot
Stochastic distributionally robust unit commitment with deep scenario clustering
inferredcites →https://doi.org/10.1016/j.ijepes.2022.108768openalex-snapshot
A novel two-stage energy management of hybrid AC/DC microgrid considering frequency security constraints
inferredcites →https://doi.org/10.1051/matecconf/201824601077openalex-snapshot
Optimized Operation of cascade reservoirs Considering Complementary Characteristics between wind and photovoltaic based on variational auto-encoder
inferredcites →https://doi.org/10.1109/cvpr52688.2022.01042openalex-snapshot
High-Resolution Image Synthesis with Latent Diffusion Models
inferredcites →https://doi.org/10.1109/cvpr52688.2022.01553openalex-snapshot
Masked Autoencoders Are Scalable Vision Learners
inferredcites →https://doi.org/10.1109/pesgm40551.2019.8974096openalex-snapshot
Model-Free Renewable Scenario Generation Using Generative Adversarial Networks
inferredcites →https://doi.org/10.1109/tii.2021.3098259openalex-snapshot
Privacy-Preserving Spatiotemporal Scenario Generation of Renewable Energies: A Federated Deep Generative Learning Approach
inferredcites →https://doi.org/10.1109/tpwrs.2018.2794541openalex-snapshot
Model-Free Renewable Scenario Generation Using Generative Adversarial Networks
inferredcites →https://doi.org/10.1109/tpwrs.2022.3170992openalex-snapshot
Conditional Style-Based Generative Adversarial Networks for Renewable Scenario Generation
inferredcites →https://doi.org/10.1109/tpwrs.2023.3349237openalex-snapshot
Efficient Scenario Generation for Chance-Constrained Economic Dispatch Considering Ambient Wind Conditions
inferredcites →https://doi.org/10.1109/tsg.2024.3360874openalex-snapshot
DiffCharge: Generating EV Charging Scenarios via a Denoising Diffusion Model
inferredcites →https://doi.org/10.1109/tste.2021.3104656openalex-snapshot
A Multi-Data Driven Hybrid Learning Method for Weekly Photovoltaic Power Scenario Forecast
inferredcites →https://doi.org/10.1109/tste.2023.3283515openalex-snapshot
Conditional Variational Autoencoder Informed Probabilistic Wind Power Curve Modeling
inferredcites →https://doi.org/10.1145/3422622openalex-snapshot
Generative adversarial networks
inferredcites →https://doi.org/10.1145/3447548.3467401openalex-snapshot
A Transformer-based Framework for Multivariate Time Series Representation Learning
inferredcites →https://doi.org/10.1609/aaai.v33i01.33013159openalex-snapshot
Character-Level Language Modeling with Deeper Self-Attention
inferredcites →https://doi.org/10.3390/en16041696openalex-snapshot
Economic Dispatch Model of High Proportional New Energy Grid-Connected Consumption Considering Source Load Uncertainty
inferredcites →https://doi.org/10.48550/arxiv.1609.08976openalex-snapshot
Variational Autoencoder for Deep Learning of Images, Labels and Captions
inferredcites →https://doi.org/10.48550/arxiv.1901.10738openalex-snapshot
Unsupervised Scalable Representation Learning for Multivariate Time Series
inferredcites →https://doi.org/10.48550/arxiv.2006.11239openalex-snapshot
Denoising Diffusion Probabilistic Models
inferredcites →https://doi.org/10.48550/arxiv.2105.05233openalex-snapshot
Diffusion Models Beat GANs on Image Synthesis
inferredcites →https://doi.org/10.48550/arxiv.2112.10752openalex-snapshot
High-Resolution Image Synthesis with Latent Diffusion Models
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.