causal inference 1time-aware deep learning 1transportation energy management 1trolleybus energy prediction 1weather impact 1
From the 1 of 5 papers with an AI index.
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- Jilin UniversityCN2 papers
- Institute of Solid State PhysicsCN1 paper
- Nanjing UniversityCN1 paper
- National University of SingaporeSG1 paper
- Solid State Physics LaboratoryIN1 paper
- South China Normal UniversityCN1 paper
- Technion – Israel Institute of TechnologyIL1 paper
- Tel Aviv UniversityIL1 paper
- University of Hong KongHK1 paper
- University of TarapacáCL1 paper
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math.OC2026
Climate-resilient electric vehicle charging infrastructure for sustainable cities: An interpretable causal-ensemble framework for preventive maintenance and low-carbon mobility
Cande Lian, Wentao Zeng, Jiabin Wu +2
Reliable electric vehicle (EV) charging infrastructure is a cornerstone of sustainable, low-carbon cities, yet urban climate stress such as extreme heat, heavy precipitation, and h…
math.OC2026
Inter-Stop Energy Prediction and Causal Driver Quantification for Dual-Source Trolleybuses via a Time-Aware Tabular Deep Learning Architecture
Wentao Zeng, Zijian Huang, Yiming Bie +2
The paper introduces a time‑aware tabular deep learning model to predict inter‑stop energy consumption for dual‑source trolleybuses and provides a causal analysis of the factors in…