Cover Image

FusionSF: Fuse Heterogeneous Modalities in a Vector Quantized Framework for Robust Solar Power Forecasting

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ma, Ziqing, Wang, Wenwei, Zhou, Tian, Chen, Chao, Peng, Bingqing, Sun, Liang, Jin, Rong
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Artificial Intelligence Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Sparse-VQ Transformer: An FFN-Free Framework with Vector Quantization for Enhanced Time Series Forecasting
by: Zhao, Yanjun, et al.
Published: (2024)

Does Vector Quantization Fail in Spatio-Temporal Forecasting? Exploring a Differentiable Sparse Soft-Vector Quantization Approach
by: Chen, Chao, et al.
Published: (2023)

Utilizing Strategic Pre-training to Reduce Overfitting: Baguan -- A Pre-trained Weather Forecasting Model
by: Niu, Peisong, et al.
Published: (2025)

Attention as Robust Representation for Time Series Forecasting
by: Niu, PeiSong, et al.
Published: (2024)

Skillful Kilometer-Scale Regional Weather Forecasting via Global and Regional Coupling
by: Chen, Weiqi, et al.
Published: (2026)

Integrating Weather Foundation Model and Satellite to Enable Fine-Grained Solar Irradiance Forecasting
by: Ma, Ziqing, et al.
Published: (2026)

Mitigating Time Discretization Challenges with WeatherODE: A Sandwich Physics-Driven Neural ODE for Weather Forecasting
by: Liu, Peiyuan, et al.
Published: (2024)

Improving Power Conversion Efficiency of Polycrystalline Si Solar Cells via Temperature Regulation
by: Shuaitao Zhao, et al.
Published: (2026)

FuseRL: Dense Preference Optimization for Heterogeneous Model Fusion
by: Zhong, Longguang, et al.
Published: (2025)

CalFuse: Multi-Modal Continual Learning via Feature Calibration and Parameter Fusion
by: Guo, Juncen, et al.
Published: (2025)

Understanding the Role of Textual Prompts in LLM for Time Series Forecasting: an Adapter View
by: Niu, Peisong, et al.
Published: (2023)

Text-DiFuse: An Interactive Multi-Modal Image Fusion Framework based on Text-modulated Diffusion Model
by: Zhang, Hao, et al.
Published: (2024)

FuseChat-3.0: Preference Optimization Meets Heterogeneous Model Fusion
by: Yang, Ziyi, et al.
Published: (2025)

Fuse Before Transfer: Knowledge Fusion for Heterogeneous Distillation
by: Li, Guopeng, et al.
Published: (2024)

CARD: Channel Aligned Robust Blend Transformer for Time Series Forecasting
by: Xue, Wang, et al.
Published: (2023)

Maximizing the Impact of Deep Learning on Subseasonal-to-Seasonal Climate Forecasting: The Essential Role of Optimization
by: Guo, Yizhen, et al.
Published: (2024)

MLFEF: Machine Learning Fusion Model with Empirical Formula to Explore the Momentum in Competitive Sports
by: Peng, Ruixin, et al.
Published: (2024)

Modality-Decoupled RGB-Thermal Object Detector via Query Fusion
by: Tian, Chao, et al.
Published: (2026)

NDVQ: Robust Neural Audio Codec with Normal Distribution-Based Vector Quantization
by: Niu, Zhikang, et al.
Published: (2024)

Can Heterogeneous Language Models Be Fused?
by: Chen, Shilian, et al.
Published: (2026)

SentiFuse: Deep Multi-model Fusion Framework for Robust Sentiment Extraction
by: Duong, Hieu Minh, et al.
Published: (2026)

RobSurv: Vector Quantization-Based Multi-Modal Learning for Robust Cancer Survival Prediction
by: Farooq, Aiman, et al.
Published: (2025)

Unlocking the Power of LSTM for Long Term Time Series Forecasting
by: Kong, Yaxuan, et al.
Published: (2024)

Staggered Quantizers for Perfect Perceptual Quality: A Connection between Quantizers with Common Randomness and Without
by: Zhou, Ruida, et al.
Published: (2024)

FusedANN: Convexified Hybrid ANN via Attribute-Vector Fusion
by: Heidari, Alireza, et al.
Published: (2025)

DrFuse: Learning Disentangled Representation for Clinical Multi-Modal Fusion with Missing Modality and Modal Inconsistency
by: Yao, Wenfang, et al.
Published: (2024)

Enhancing AI-Based Tropical Cyclone Track and Intensity Forecasting via Systematic Bias Correction
by: Niu, Peisong, et al.
Published: (2026)

HeLoFusion: An Efficient and Scalable Encoder for Modeling Heterogeneous and Multi-Scale Interactions in Trajectory Prediction
by: Wei, Bingqing, et al.
Published: (2025)

Bridging Past and Future: Distribution-Aware Alignment for Time Series Forecasting
by: Hu, Yifan, et al.
Published: (2025)

DAE-Fuse: An Adaptive Discriminative Autoencoder for Multi-Modality Image Fusion
by: Guo, Yuchen, et al.
Published: (2024)

Breaking Modality Heterogeneity in Low-Bit Quantization for Large Vision-Language Models
by: Zhong, Yi, et al.
Published: (2026)

SolarBoost: Distributed Photovoltaic Power Forecasting Amid Time-varying Grid Capacity
by: Geng, Linyuan, et al.
Published: (2025)

Rethinking the Power of Timestamps for Robust Time Series Forecasting: A Global-Local Fusion Perspective
by: Wang, Chengsen, et al.
Published: (2024)

Robust Training of Vector Quantized Bottleneck Models
by: Łańcucki, Adrian, et al.
Published: (2020)

Collaboration of Fusion and Independence: Hypercomplex-driven Robust Multi-Modal Knowledge Graph Completion
by: Liu, Zhiqiang, et al.
Published: (2025)

TriCon-SF: A Triple-Shuffle and Contribution-Aware Serial Federated Learning Framework for Heterogeneous Healthcare Data
by: Yan, Yuping, et al.
Published: (2025)

Fusing in 3D: Free-Viewpoint Fusion Rendering with a 3D Infrared-Visible Scene Representation
by: Yang, Chao, et al.
Published: (2026)

Q-MLLM: Vector Quantization for Robust Multimodal Large Language Model Security
by: Zhao, Wei, et al.
Published: (2025)

AlterMOMA: Fusion Redundancy Pruning for Camera-LiDAR Fusion Models with Alternative Modality Masking
by: Sun, Shiqi, et al.
Published: (2024)

AngularFuse: A Closer Look at Angle-based Perception for Spatial-Sensitive Multi-Modality Image Fusion
by: Liu, Xiaopeng, et al.
Published: (2025)