Research graph
References from A unified collaborative forecasting framework based on spatiotemporal correlation for large-scale heterogeneous wind farms across multiple regions. Local targets link to admitted publications; unresolved targets remain external evidence.
Spatio-temporal wind speed forecasting using graph networks and novel Transformer architectures
10.1016/j.apenergy.2022.120565 · 2023 · External reference
Grouping-based optimal design of collector system topology for a large-scale offshore wind farm by improved simulated annealing
10.23919/pcmp.2023.000151 · 2024 · External reference
Scalable spatiotemporal graph neural networks
10.1609/aaai.v37i6.25880 · 2023 · External reference
The Wind Integration National Dataset (WIND) Toolkit
10.1016/j.apenergy.2015.03.121 · 2016 · External reference
A frequency loss function based dynamic convolutional transformer model with data denoising for short-term wind speed forecasting
10.1016/j.eswa.2025.130166 · 2026 · External reference
Understanding convolution on graphs via energies
2023 · External reference
Dynamic meta-graph convolutional recurrent network for heterogeneous spatiotemporal graph forecasting
10.1016/j.neunet.2024.106805 · 2025 · External reference
A systematic review of the costs and impacts of integrating variable renewables into power grids
10.1038/s41560-020-00695-4 · 2021 · External reference
COA-CNN-LSTM: Coati optimization algorithm-based hybrid deep learning model for PV/wind power forecasting in smart grid applications
2023 · External reference
HDMixer: Hierarchical Dependency with Extendable Patch for Multivariate Time Series forecasting
10.1609/aaai.v38i11.29155 · 2024 · External reference
Spatio-temporal self-supervised learning for traffic flow prediction
10.1609/aaai.v37i4.25555 · 2023 · External reference
PDFormer: Propagation delay aware dynamic long-range transformer for traffic flow prediction
10.1609/aaai.v37i4.25556 · 2023 · External reference
Regional wind power forecasting based on bayesian feature selection
10.1109/tpwrs.2024.3388011 · 2025 · External reference
U-KAN makes strong backbone for medical image segmentation and generation
10.1609/aaai.v39i5.32491 · 2025 · External reference
GTP-4o: Modality-prompted heterogeneous graph learning for omni-modal biomedical representation
2025 · External reference
Diffusion convolutional recurrent neural network: data-driven traffic forecasting
2018 · External reference
Heterogeneous spatiotemporal graph convolution network for multi-modal wind-PV power collaborative prediction
10.1109/tpwrs.2023.3342636 · 2024 · External reference
ISI net: A novel paradigm integrating interpretability and intelligent selection in ensemble learning for accurate wind power forecasting
10.1016/j.enconman.2025.119752 · 2025 · External reference
Feature dimensionality reduction based on deep lasso for wind power forecasting
2025 · External reference
Application of hybrid model based on empirical mode decomposition, novel recurrent neural networks and the ARIMA to wind speed prediction
10.1016/j.enconman.2021.113917 · 2021 · External reference
When do contrastive learning signals help spatio-temporal graph forecasting?
2022 · External reference
Largest: A benchmark dataset for large-scale traffic forecasting
2024 · External reference
An ultra-short-term wind power prediction method based on spatial-temporal attention graph convolutional model
10.1016/j.energy.2024.130751 · 2024 · External reference
Multi-timescale optimization scheduling of regional integrated energy system based on source-load joint forecasting
10.1016/j.energy.2023.129186 · 2023 · External reference
Developing a supervised learning-based simulation method as a decision support tool for rebalancing problems in bike-sharing systems
10.1016/j.eswa.2023.120983 · 2023 · External reference
Study of energy storage technology approaches for mitigating wind power fluctuations to enhance smart grid resilience
10.1016/j.rser.2025.116072 · 2025 · External reference
Hybrid short-term wind power forecasting model using theoretical power curves and temporal fusion transformers
10.1016/j.renene.2025.124008 · 2026 · External reference
Predicting large-scale urban network dynamics with energy-informed graph neural diffusion
10.1109/tii.2025.3588614 · 2025 · External reference
Unresolved reference
External reference
Urban traffic flow forecasting based on spatial-temporal graph contrastive learning
2023 · External reference
SAMForecast: A hybrid model of self-attention and Mamba with adaptive wavelet transform for time series forecasting
10.1016/j.eswa.2025.129498 · 2026 · External reference
A graph attention network with spatio-temporal wind propagation graph for wind power ramp events prediction
10.1016/j.renene.2024.121280 · 2024 · External reference
Learning dynamic inter-farm dependencies for wind power forecasting via adaptive sparse graph attention network
10.1016/j.renene.2025.124969 · 2026 · External reference
ASPEN-WIND: Adaptive spectral and self-supervised interactive CNN-LSTM for enhanced wind power forecasting
10.1016/j.eswa.2025.129171 · 2026 · External reference
Spatial-temporal synchronous graph convolutional networks: A new framework for spatial-temporal network data forecasting
10.1609/aaai.v34i01.5438 · 2020 · External reference
xPatch: Dual-stream time series forecasting with exponential seasonal-trend decomposition
10.1609/aaai.v39i19.34270 · 2025 · External reference
Attention is all you need
2017 · External reference
A transformer-LSTM network enhanced by EEMD for ultra-short-term wind power forecasting
10.1016/j.egyai.2026.100682 · 2026 · External reference
Autoformer: Decomposition transformers with auto-correlation for long-term series forecasting
2021 · External reference
Self-supervised learning on graphs: Contrastive, generative, or predictive
10.1109/tkde.2021.3131584 · 2023 · External reference
Unresolved reference
External reference
10.24963/ijcai.2019/264
10.24963/ijcai.2019/264 · External reference
FedGPS: Statistical rectification against data heterogeneity in federated learning
2025 · External reference
Graph contrastive learning with augmentations
2020 · External reference
CL-DGCN: Contrastive learning based deeper graph convolutional network for traffic flow data prediction
10.1016/j.tre.2025.104345 · 2025 · External reference
Automated spatio-temporal graph contrastive learning
2023 · External reference
Achieving high precision and balanced multi-energy load forecasting with mixed time scales: A multi-task learning model with stacked cross-attention
10.1016/j.egyai.2025.100561 · 2025 · External reference
EMAformer: Enhancing transformer through embedding armor for time series forecasting
10.1609/aaai.v40i34.40095 · 2026 · External reference
Data-augmented trend-fluctuation representations by interpretable contrastive learning for wind power forecasting
2025 · External reference
Intraday Wind Power forecasting by Ensemble of Overlapping Historical Numerical Weather Predictions
10.1109/tste.2024.3521384 · 2025 · External reference
10.1609/aaai.v35i12.17325
10.1609/aaai.v35i12.17325 · External reference
Two-stage real-time carbon emission monitoring for low-carbon power system operation: A graph neural network-based approach
10.23919/pcmp.2023.000172 · 2025 · External reference
Unresolved reference
External reference
The Wind Integration National Dataset (WIND) Toolkit
10.1016/j.apenergy.2015.03.121 · ExternalCitation · doi-reference
Spatio-temporal wind speed forecasting using graph networks and novel Transformer architectures
10.1016/j.apenergy.2022.120565 · ExternalCitation · doi-reference
Achieving high precision and balanced multi-energy load forecasting with mixed time scales: A multi-task learning model with stacked cross-attention
10.1016/j.egyai.2025.100561 · ExternalCitation · doi-reference
A transformer-LSTM network enhanced by EEMD for ultra-short-term wind power forecasting
10.1016/j.egyai.2026.100682 · ExternalCitation · doi-reference
Application of hybrid model based on empirical mode decomposition, novel recurrent neural networks and the ARIMA to wind speed prediction
10.1016/j.enconman.2021.113917 · ExternalCitation · doi-reference
ISI net: A novel paradigm integrating interpretability and intelligent selection in ensemble learning for accurate wind power forecasting
10.1016/j.enconman.2025.119752 · ExternalCitation · doi-reference
Multi-timescale optimization scheduling of regional integrated energy system based on source-load joint forecasting
10.1016/j.energy.2023.129186 · ExternalCitation · doi-reference
An ultra-short-term wind power prediction method based on spatial-temporal attention graph convolutional model
10.1016/j.energy.2024.130751 · ExternalCitation · doi-reference
Developing a supervised learning-based simulation method as a decision support tool for rebalancing problems in bike-sharing systems
10.1016/j.eswa.2023.120983 · ExternalCitation · doi-reference
ASPEN-WIND: Adaptive spectral and self-supervised interactive CNN-LSTM for enhanced wind power forecasting
10.1016/j.eswa.2025.129171 · ExternalCitation · doi-reference
SAMForecast: A hybrid model of self-attention and Mamba with adaptive wavelet transform for time series forecasting
10.1016/j.eswa.2025.129498 · ExternalCitation · doi-reference
A frequency loss function based dynamic convolutional transformer model with data denoising for short-term wind speed forecasting
10.1016/j.eswa.2025.130166 · ExternalCitation · doi-reference
Dynamic meta-graph convolutional recurrent network for heterogeneous spatiotemporal graph forecasting
10.1016/j.neunet.2024.106805 · ExternalCitation · doi-reference
A graph attention network with spatio-temporal wind propagation graph for wind power ramp events prediction
10.1016/j.renene.2024.121280 · ExternalCitation · doi-reference
Hybrid short-term wind power forecasting model using theoretical power curves and temporal fusion transformers
10.1016/j.renene.2025.124008 · ExternalCitation · doi-reference
Learning dynamic inter-farm dependencies for wind power forecasting via adaptive sparse graph attention network
10.1016/j.renene.2025.124969 · ExternalCitation · doi-reference
Study of energy storage technology approaches for mitigating wind power fluctuations to enhance smart grid resilience
10.1016/j.rser.2025.116072 · ExternalCitation · doi-reference
CL-DGCN: Contrastive learning based deeper graph convolutional network for traffic flow data prediction
10.1016/j.tre.2025.104345 · ExternalCitation · doi-reference
A systematic review of the costs and impacts of integrating variable renewables into power grids
10.1038/s41560-020-00695-4 · ExternalCitation · doi-reference
Predicting large-scale urban network dynamics with energy-informed graph neural diffusion
10.1109/tii.2025.3588614 · ExternalCitation · doi-reference
Self-supervised learning on graphs: Contrastive, generative, or predictive
10.1109/tkde.2021.3131584 · ExternalCitation · doi-reference
Heterogeneous spatiotemporal graph convolution network for multi-modal wind-PV power collaborative prediction
10.1109/tpwrs.2023.3342636 · ExternalCitation · doi-reference
Regional wind power forecasting based on bayesian feature selection
10.1109/tpwrs.2024.3388011 · ExternalCitation · doi-reference
Intraday Wind Power forecasting by Ensemble of Overlapping Historical Numerical Weather Predictions
10.1109/tste.2024.3521384 · ExternalCitation · doi-reference
Spatial-temporal synchronous graph convolutional networks: A new framework for spatial-temporal network data forecasting
10.1609/aaai.v34i01.5438 · ExternalCitation · doi-reference
10.1609/aaai.v35i12.17325
10.1609/aaai.v35i12.17325 · ExternalCitation · doi-reference
Spatio-temporal self-supervised learning for traffic flow prediction
10.1609/aaai.v37i4.25555 · ExternalCitation · doi-reference
PDFormer: Propagation delay aware dynamic long-range transformer for traffic flow prediction
10.1609/aaai.v37i4.25556 · ExternalCitation · doi-reference
Scalable spatiotemporal graph neural networks
10.1609/aaai.v37i6.25880 · ExternalCitation · doi-reference
HDMixer: Hierarchical Dependency with Extendable Patch for Multivariate Time Series forecasting
10.1609/aaai.v38i11.29155 · ExternalCitation · doi-reference
xPatch: Dual-stream time series forecasting with exponential seasonal-trend decomposition
10.1609/aaai.v39i19.34270 · ExternalCitation · doi-reference
U-KAN makes strong backbone for medical image segmentation and generation
10.1609/aaai.v39i5.32491 · ExternalCitation · doi-reference
EMAformer: Enhancing transformer through embedding armor for time series forecasting
10.1609/aaai.v40i34.40095 · ExternalCitation · doi-reference
Grouping-based optimal design of collector system topology for a large-scale offshore wind farm by improved simulated annealing
10.23919/pcmp.2023.000151 · ExternalCitation · doi-reference
Two-stage real-time carbon emission monitoring for low-carbon power system operation: A graph neural network-based approach
10.23919/pcmp.2023.000172 · ExternalCitation · doi-reference
10.24963/ijcai.2019/264
10.24963/ijcai.2019/264 · ExternalCitation · doi-reference
