Xiaodan Shi

Assistant Professor

Stockholm University

Sweden

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Xiaodan Shi is an Assistant Professor at Stockholm University, Sweden. His research areas include time series prediction, deep learning applications in power forecasting, and modeling social interactions. Recent publications highlight his work on personalized federated learning and ambient temperature measurement systems.

Articles (10)

Year:

2025

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2025

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2024

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2024

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2024

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2023

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2023

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2023

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2023

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2023

Collaborators (5)

Wei Yuan

University of Tokyo

JAPAN

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Haoran Zhang

University of Tokyo

JAPAN

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Wenjing Li

University of Tokyo

JAPAN

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Jan Skvaril

Senior lecturer

Mälardalen University

SWEDEN

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Jinyue Yan

Editor-in-Chief

Institute of Applied Physics

UNITED KINGDOM

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Xiaodan Shi

Research Interests

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About

Articles (10)

Selecting effective NWP integration approaches for PV power forecasting with deep learning

Personalized federated learning for household electricity load prediction with imbalanced historical data

Multivariate time series prediction for CO2 concentration and flowrate of flue gas from biomass-fired power plants

Modeling interpretable social interactions for pedestrian trajectory

A Phone-Based Distributed Ambient Temperature Measurement System With an Efficient Label-Free Automated Training Strategy

MetaTraj: Meta-Learning for Cross-Scene Cross-Object Trajectory Prediction

MobCovid: Confirmed Cases Dynamics Driven Time Series Prediction of Crowd in Urban Hotspot

Mutual Adaptation: Learning From Prototype for Time Series Prediction

PredLife: Predicting Fine-grained Future Activity Patterns

LTP-Net: Life-Travel Pattern Based Human Mobility Signature Identification

Collaborators (5)

Wei Yuan

Haoran Zhang

Wenjing Li

Jan Skvaril

Jinyue Yan

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