Scholar
Hang Fan
Google Scholar ID: piQg--AAAAAJ
North China Electric Power Univercity;Tsinghua University
Electricity Market
Time series prediction
Deep/Machine learning
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Citations & Impact
All-time
Citations
374
H-index
9
i10-index
8
Publications
20
Co-authors
11
list available
Publications
17 items
Market-Information-Aware Gated-LoRA of Foundation Models for Transferable Day-Ahead Electricity Price Forecasting
2026
Cited
0
Koopman early warning signals for bifurcation and rate-induced tipping
2026
Cited
0
PARA-PV: Physics-Aware Retrieval-Augmented PV Prediction Based on Frozen Foundation Model and Distribution Shift Correction
2026
Cited
0
In-context learning to predict critical transitions in dynamical systems
2026
Cited
0
WindINR: Latent-State INR for Fast Local Wind Query and Correction in Complex Terrain
2026
Cited
0
Earth-o1: A Grid-free Observation-native Atmospheric World Model
2026
Cited
0
An End-to-end Building Load Forecasting Framework with Patch-based Information Fusion Network and Error-weighted Adaptive Loss
2026
Cited
0
Solar-VLM: Multimodal Vision-Language Models for Augmented Solar Power Forecasting
2026
Cited
0
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Co-authors
6 total
Shengwei Mei
Tsinghua university
Qin Wang
ETH Zurich
Wei Xu
Professor, IIIS and CollegeAI, Tsinghua University
Wei Wei
Associate Professor with tenure, Tsinghua University
Junzi Zhang
Citadel Securities; Amazon; Stanford University
Xinyang Chen
Associate Professor, Harbin Institute of Technology (Shenzhen)
