Improving Building Temperature Forecasting: A Data-driven Approach with System Scenario Clustering
Fuente:
arXiv
Saved in:
| Main Authors: | Zhao, Dafang, Chen, Zheng, Li, Zhengmao, Yuan, Xiaolei, Taniguchi, Ittetsu |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
A Unified Energy Management Framework for Multi-Timescale Forecasting in Smart Grids
by: Zhao, Dafang, et al.
Published: (2024)
by: Zhao, Dafang, et al.
Published: (2024)
A Federated Data Fusion-Based Prognostic Model for Applications with Multi-Stream Incomplete Signals
by: Arabi, Madi, et al.
Published: (2023)
by: Arabi, Madi, et al.
Published: (2023)
New Test-Time Scenario for Biosignal: Concept and Its Approach
by: Jo, Yong-Yeon, et al.
Published: (2024)
by: Jo, Yong-Yeon, et al.
Published: (2024)
RefineBridge: Generative Bridge Models Improve Financial Forecasting by Foundation Models
by: Bolton, Anthony, et al.
Published: (2025)
by: Bolton, Anthony, et al.
Published: (2025)
ALPCAHUS: Subspace Clustering for Heteroscedastic Data
by: Cavazos, Javier Salazar, et al.
Published: (2025)
by: Cavazos, Javier Salazar, et al.
Published: (2025)
Electrical Load Forecasting in Smart Grid: A Personalized Federated Learning Approach
by: Rahman, Ratun, et al.
Published: (2024)
by: Rahman, Ratun, et al.
Published: (2024)
Mixing Signals: Data Augmentation Approach for Deep Learning Based Modulation Recognition
by: Xu, Xinjie, et al.
Published: (2022)
by: Xu, Xinjie, et al.
Published: (2022)
DiffPLF: A Conditional Diffusion Model for Probabilistic Forecasting of EV Charging Load
by: Li, Siyang, et al.
Published: (2024)
by: Li, Siyang, et al.
Published: (2024)
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)
Data-driven Nonlinear Modal Analysis with Physics-constrained Deep Learning: Numerical and Experimental Study
by: Rostamijavanani, Abdolvahhab, et al.
Published: (2025)
by: Rostamijavanani, Abdolvahhab, et al.
Published: (2025)
Deep Learning-Based Residual Useful Lifetime Prediction for Assets with Uncertain Failure Modes
by: Su, Yuqi, et al.
Published: (2024)
by: Su, Yuqi, et al.
Published: (2024)
Interpretable Short-Term Load Forecasting via Multi-Scale Temporal Decomposition
by: Jiang, Yuqi, et al.
Published: (2024)
by: Jiang, Yuqi, et al.
Published: (2024)
Redefining Automotive Radar Imaging: A Domain-Informed 1D Deep Learning Approach for High-Resolution and Efficient Performance
by: Zheng, Ruxin, et al.
Published: (2024)
by: Zheng, Ruxin, et al.
Published: (2024)
Clustering Rooftop PV Systems via Probabilistic Embeddings
by: Bölat, Kutay, et al.
Published: (2025)
by: Bölat, Kutay, et al.
Published: (2025)
Movable Antenna-Equipped UAV for Data Collection in Backscatter Sensor Networks: A Deep Reinforcement Learning-based Approach
by: Bai, Yu, et al.
Published: (2024)
by: Bai, Yu, et al.
Published: (2024)
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)
Training from Zero: Radio Frequency Machine Learning Data Quantity Forecasting
by: Clark IV, William H., et al.
Published: (2022)
by: Clark IV, William H., et al.
Published: (2022)
DNS: Data-driven Nonlinear Smoother for Complex Model-free Process
by: Cumlin, Fredrik, et al.
Published: (2026)
by: Cumlin, Fredrik, et al.
Published: (2026)
Finding the Missing Data: A BERT-inspired Approach Against Package Loss in Wireless Sensing
by: Zhao, Zijian, et al.
Published: (2024)
by: Zhao, Zijian, et al.
Published: (2024)
SolarCrossFormer: Improving day-ahead Solar Irradiance Forecasting by Integrating Satellite Imagery and Ground Sensors
by: Schubnel, Baptiste, et al.
Published: (2025)
by: Schubnel, Baptiste, et al.
Published: (2025)
A Novel Combined Data-Driven Approach for Electricity Theft Detection
by: Zheng, Kedi, et al.
Published: (2024)
by: Zheng, Kedi, et al.
Published: (2024)
A Deep Learning Approach for User-Centric Clustering in Cell-Free Massive MIMO Systems
by: Di Gennaro, Giovanni, et al.
Published: (2024)
by: Di Gennaro, Giovanni, et al.
Published: (2024)
Fast-Powerformer: A Memory-Efficient Transformer for Accurate Mid-Term Wind Power Forecasting
by: Zhu, Mingyi, et al.
Published: (2025)
by: Zhu, Mingyi, et al.
Published: (2025)
Cuffless Blood Pressure Estimation from Six Wearable Sensor Modalities in Multi-Motion-State Scenarios
by: Chen, Yiqiao, et al.
Published: (2025)
by: Chen, Yiqiao, 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)
Enhancing Blood Flow Assessment in Diffuse Correlation Spectroscopy: A Transfer Learning Approach with Noise Robustness Analysis
by: Chen, Xi, et al.
Published: (2024)
by: Chen, Xi, et al.
Published: (2024)
pDANSE: Particle-based Data-driven Nonlinear State Estimation from Nonlinear Measurements
by: Ghosh, Anubhab, et al.
Published: (2025)
by: Ghosh, Anubhab, et al.
Published: (2025)
Attention-based Deep Neural Networks for Battery Discharge Capacity Forecasting
by: Zhang, Yadong, et al.
Published: (2022)
by: Zhang, Yadong, et al.
Published: (2022)
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)
Large Language Models for Detecting Cyberattacks on Smart Grid Protective Relays
by: Saber, Ahmad Mohammad, et al.
Published: (2026)
by: Saber, Ahmad Mohammad, et al.
Published: (2026)
Exploiting Radio Frequency Fingerprints for Device Identification: Tackling Cross-receiver Challenges in the Source-data-free Scenario
by: Yang, Liu, et al.
Published: (2025)
by: Yang, Liu, et al.
Published: (2025)
On Improving PPG-Based Sleep Staging: A Pilot Study
by: Wang, Jiawei, et al.
Published: (2025)
by: Wang, Jiawei, et al.
Published: (2025)
Unsupervised Clustering for Fault Analysis in High-Voltage Power Systems Using Voltage and Current Signals
by: Oelhaf, Julian, et al.
Published: (2025)
by: Oelhaf, Julian, et al.
Published: (2025)
MCformer: Multivariate Time Series Forecasting with Mixed-Channels Transformer
by: Han, Wenyong, et al.
Published: (2024)
by: Han, Wenyong, et al.
Published: (2024)
Subspace Clustering of Subspaces: Unifying Canonical Correlation Analysis and Subspace Clustering
by: Karakasis, Paris A., et al.
Published: (2025)
by: Karakasis, Paris A., et al.
Published: (2025)
Temporal Data and Short-Time Averages Improve Multiphase Mass Flow Metering
by: Nyholm, Amanda, et al.
Published: (2026)
by: Nyholm, Amanda, et al.
Published: (2026)
Generative Probabilistic Time Series Forecasting and Applications in Grid Operations
by: Wang, Xinyi, et al.
Published: (2024)
by: Wang, Xinyi, et al.
Published: (2024)
Benchmarking Sensor-Fault Robustness in Forecasting
by: Windmann, Alexander, et al.
Published: (2026)
by: Windmann, Alexander, et al.
Published: (2026)
Deep Learning for Hydroelectric Optimization: Generating Long-Term River Discharge Scenarios with Ensemble Forecasts from Global Circulation Models
by: Dias, Julio Alberto Silva
Published: (2024)
by: Dias, Julio Alberto Silva
Published: (2024)
Boundary-aware Prototype-driven Adversarial Alignment for Cross-Corpus EEG Emotion Recognition
by: Li, Guangli, et al.
Published: (2026)
by: Li, Guangli, et al.
Published: (2026)
Similar Items
-
A Unified Energy Management Framework for Multi-Timescale Forecasting in Smart Grids
by: Zhao, Dafang, et al.
Published: (2024) -
A Federated Data Fusion-Based Prognostic Model for Applications with Multi-Stream Incomplete Signals
by: Arabi, Madi, et al.
Published: (2023) -
New Test-Time Scenario for Biosignal: Concept and Its Approach
by: Jo, Yong-Yeon, et al.
Published: (2024) -
RefineBridge: Generative Bridge Models Improve Financial Forecasting by Foundation Models
by: Bolton, Anthony, et al.
Published: (2025) -
ALPCAHUS: Subspace Clustering for Heteroscedastic Data
by: Cavazos, Javier Salazar, et al.
Published: (2025)