Temporal Data and Short-Time Averages Improve Multiphase Mass Flow Metering
Fuente:
arXiv
Saved in:
| Main Authors: | Nyholm, Amanda, Arellano, Yessica, Liu, Jinyu, Krakowiak, Damian, Rossi, Pierluigi Salvo |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Electric Vehicle Identification from Behind Smart Meter Data
by: Kamoona, Ammar, et al.
Published: (2025)
by: Kamoona, Ammar, et al.
Published: (2025)
Interpretable Short-Term Load Forecasting via Multi-Scale Temporal Decomposition
by: Jiang, Yuqi, et al.
Published: (2024)
by: Jiang, Yuqi, et al.
Published: (2024)
On-Device Training of PV Power Forecasting Models in a Smart Meter for Grid Edge Intelligence
by: Huang, Jian, et al.
Published: (2025)
by: Huang, Jian, et al.
Published: (2025)
ADF & TransApp: A Transformer-Based Framework for Appliance Detection Using Smart Meter Consumption Series
by: Petralia, Adrien, et al.
Published: (2023)
by: Petralia, Adrien, et al.
Published: (2023)
Online Test-Time Adaptation of Spatial-Temporal Traffic Flow Forecasting
by: Guo, Pengxin, et al.
Published: (2024)
by: Guo, Pengxin, et al.
Published: (2024)
TADA: Temporal Adversarial Data Augmentation for Time Series Data
by: Lee, Byeong Tak, et al.
Published: (2024)
by: Lee, Byeong Tak, et al.
Published: (2024)
Online Electric Vehicle Charging Detection Based on Memory-based Transformer using Smart Meter Data
by: Kamoona, Ammar Mansoor, et al.
Published: (2024)
by: Kamoona, Ammar Mansoor, et al.
Published: (2024)
Federated Sequence-to-Sequence Learning for Load Disaggregation from Unbalanced Low-Resolution Smart Meter Data
by: Li, Xiangrui
Published: (2024)
by: Li, Xiangrui
Published: (2024)
Sensor Response-Time Reduction using Long-Short Term Memory Network Forecasting
by: Ward, Simon J., et al.
Published: (2024)
by: Ward, Simon J., et al.
Published: (2024)
TAnet: A New Temporal Attention Network for EEG-based Auditory Spatial Attention Decoding with a Short Decision Window
by: Ding, Yuting, et al.
Published: (2024)
by: Ding, Yuting, et al.
Published: (2024)
Time-Varying Graph Learning with Constraints on Graph Temporal Variation
by: Yokota, Haruki, et al.
Published: (2020)
by: Yokota, Haruki, et al.
Published: (2020)
Data-driven Modeling in Metrology -- A Short Introduction, Current Developments and Future Perspectives
by: Schneider, Linda-Sophie, et al.
Published: (2024)
by: Schneider, Linda-Sophie, et al.
Published: (2024)
Contaminated Multivariate Time-Series Anomaly Detection with Spatio-Temporal Graph Conditional Diffusion Models
by: Ho, Thi Kieu Khanh, et al.
Published: (2023)
by: Ho, Thi Kieu Khanh, et al.
Published: (2023)
Imputation of Time-varying Edge Flows in Graphs by Multilinear Kernel Regression and Manifold Learning
by: Nguyen, Duc Thien, et al.
Published: (2024)
by: Nguyen, Duc Thien, et al.
Published: (2024)
Multi-Source and Test-Time Domain Adaptation on Multivariate Signals using Spatio-Temporal Monge Alignment
by: Gnassounou, Théo, et al.
Published: (2024)
by: Gnassounou, Théo, et al.
Published: (2024)
Signal Quality Auditing for Time-series Data
by: Gao, Chufan, et al.
Published: (2024)
by: Gao, Chufan, et al.
Published: (2024)
Time-Vertex Machine Learning for Optimal Sensor Placement in Temporal Graph Signals: Applications in Structural Health Monitoring
by: Niresi, Keivan Faghih, et al.
Published: (2025)
by: Niresi, Keivan Faghih, et al.
Published: (2025)
SPaRSe-TIME: Saliency-Projected Low-Rank Temporal Modeling for Efficient and Interpretable Time Series Prediction
by: Shahriar, K. A.
Published: (2026)
by: Shahriar, K. A.
Published: (2026)
Forecasting-based Biomedical Time-series Data Synthesis for Open Data and Robust AI
by: Lee, Youngjoon, et al.
Published: (2025)
by: Lee, Youngjoon, et al.
Published: (2025)
BiT-MamSleep: Bidirectional Temporal Mamba for EEG Sleep Staging
by: Zhou, Xinliang, et al.
Published: (2024)
by: Zhou, Xinliang, et al.
Published: (2024)
Solving Large-scale Spatial Problems with Convolutional Neural Networks
by: Owerko, Damian, et al.
Published: (2023)
by: Owerko, Damian, et al.
Published: (2023)
Spatio-Temporal 3D Point Clouds from WiFi-CSI Data via Transformer Networks
by: Määttä, Tuomas, et al.
Published: (2024)
by: Määttä, Tuomas, et al.
Published: (2024)
Learnable Adaptive Time-Frequency Representation via Differentiable Short-Time Fourier Transform
by: Leiber, Maxime, et al.
Published: (2025)
by: Leiber, Maxime, et al.
Published: (2025)
Non-negative DAG Learning from Time-Series Data
by: Rey, Samuel, et al.
Published: (2025)
by: Rey, Samuel, et al.
Published: (2025)
Improving Building Temperature Forecasting: A Data-driven Approach with System Scenario Clustering
by: Zhao, Dafang, et al.
Published: (2024)
by: Zhao, Dafang, et al.
Published: (2024)
Real-Time Streamable Generative Speech Restoration with Flow Matching
by: Welker, Simon, et al.
Published: (2025)
by: Welker, Simon, et al.
Published: (2025)
Combining Residual U-Net and Data Augmentation for Dense Temporal Segmentation of Spike Wave Discharges in Single-Channel EEG
by: Sengupta, Saurav, et al.
Published: (2026)
by: Sengupta, Saurav, et al.
Published: (2026)
Learning Conditional Independence Differential Graphs From Time-Dependent Data
by: Tugnait, Jitendra K
Published: (2025)
by: Tugnait, Jitendra K
Published: (2025)
Lightweight DNN for Full-Band Speech Denoising on Mobile Devices: Exploiting Long and Short Temporal Patterns
by: Drossos, Konstantinos, et al.
Published: (2025)
by: Drossos, Konstantinos, et al.
Published: (2025)
Attention-Refined Unrolling for Sparse Sequential micro-Doppler Reconstruction
by: Mazzieri, Riccardo, et al.
Published: (2023)
by: Mazzieri, Riccardo, et al.
Published: (2023)
Kernel Regression of Multi-Way Data via Tensor Trains with Hadamard Overparametrization: The Dynamic Graph Flow Case
by: Nguyen, Duc Thien, et al.
Published: (2025)
by: Nguyen, Duc Thien, et al.
Published: (2025)
TAU: Modeling Temporal Consistency Through Temporal Attentive U-Net for PPG Peak Detection
by: Zuo, Chunsheng, et al.
Published: (2025)
by: Zuo, Chunsheng, et al.
Published: (2025)
Machine Learning in Short-Reach Optical Systems: A Comprehensive Survey
by: Shao, Chen, et al.
Published: (2024)
by: Shao, Chen, et al.
Published: (2024)
CNN-based Compressor Mass Flow Estimator in Industrial Aircraft Vapor Cycle System
by: Reverdi, Justin, et al.
Published: (2024)
by: Reverdi, Justin, et al.
Published: (2024)
Highly Efficient Direct Analytics on Semantic-aware Time Series Data Compression
by: Sun, Guoyou, et al.
Published: (2025)
by: Sun, Guoyou, et al.
Published: (2025)
Improving EEG Classification Through Randomly Reassembling Original and Generated Data with Transformer-based Diffusion Models
by: Chen, Mingzhi, et al.
Published: (2024)
by: Chen, Mingzhi, et al.
Published: (2024)
Improving Local Air Quality Predictions Using Transfer Learning on Satellite Data and Graph Neural Networks
by: Gueterbock, Finn, et al.
Published: (2025)
by: Gueterbock, Finn, et al.
Published: (2025)
Short-Term Photovoltaic Forecasting Model for Qualifying Uncertainty during Hazy Weather
by: Yang, Xuan, et al.
Published: (2024)
by: Yang, Xuan, et al.
Published: (2024)
Short-Term Regional Electricity Demand Forecasting in Argentina Using LSTM Networks
by: Oviedo, Oscar A.
Published: (2025)
by: Oviedo, Oscar A.
Published: (2025)
Evaluating Large Language Models as Virtual Annotators for Time-series Physical Sensing Data
by: Hota, Aritra, et al.
Published: (2024)
by: Hota, Aritra, et al.
Published: (2024)
Similar Items
-
Electric Vehicle Identification from Behind Smart Meter Data
by: Kamoona, Ammar, et al.
Published: (2025) -
Interpretable Short-Term Load Forecasting via Multi-Scale Temporal Decomposition
by: Jiang, Yuqi, et al.
Published: (2024) -
On-Device Training of PV Power Forecasting Models in a Smart Meter for Grid Edge Intelligence
by: Huang, Jian, et al.
Published: (2025) -
ADF & TransApp: A Transformer-Based Framework for Appliance Detection Using Smart Meter Consumption Series
by: Petralia, Adrien, et al.
Published: (2023) -
Online Test-Time Adaptation of Spatial-Temporal Traffic Flow Forecasting
by: Guo, Pengxin, et al.
Published: (2024)