Shuang Dai

Orcid: 0000-0001-7635-716X

According to our database1, Shuang Dai authored at least 13 papers between 2018 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Multiscale and Real-Time Load Forecasting: A Universal Online Functional Data Analysis Framework.
IEEE Trans. Engineering Management, 2026

2025
Localization Matters Too: How Localization Error Affects UAV Flight: "All Models are Wrong but Some are Useful." - George Box.
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2025

2024
New forest-based approaches for sufficient dimension reduction.
Stat. Comput., October, 2024

Dynamic Load Usage Behavior Simulation in Smart Grids: A Data-Driven Approach in Urban Buildings.
Proceedings of the Winter Simulation Conference, 2024

2023
Addressing modern and practical challenges in machine learning: a survey of online federated and transfer learning.
Appl. Intell., May, 2023

A distributed and real-time machine learning framework for smart meter big data.
PhD thesis, 2023

FederatedNILM: A Distributed and Privacy-Preserving Framework for Non-Intrusive Load Monitoring Based on Federated Deep Learning.
Proceedings of the International Joint Conference on Neural Networks, 2023

Tobacco Quality Prediction in Tobacco Machine Drying Based on Data-Driven Deep Reinforcement Learning.
Proceedings of the 4th International Conference on Machine Learning and Computer Application, 2023

2022
DP<sup>2</sup>-NILM: A Distributed and Privacy-preserving Framework for Non-intrusive Load Monitoring.
CoRR, 2022

2021
Electrical peak demand forecasting- A review.
CoRR, 2021

A telehealth framework for dementia care: an ADLs patterns recognition model for patients based on NILM.
Proceedings of the International Joint Conference on Neural Networks, 2021

2020
Energy Forecasting with Building Characteristics Analysis.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2018
Back analysis for mechanical parameters of surrounding rock for underground roadways based on new neural network.
Eng. Comput., 2018


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