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20242026
most citedA Scoping Review of Energy-Efficient Driving Behaviors and Applied State-of-the-Art AI Methods

23 citations · 50 across the 11 of their papers we have counts for

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5 papers · 1 filter

cs.LG2024★ 7 cited

A Data-Driven Two-Phase Multi-Split Causal Ensemble Model for Time Series

Zhipeng Ma, Marco Kemmerling, Daniel Buschmann +3

Causal inference is a fundamental research topic for discovering the cause-effect relationships in many disciplines. However, not all algorithms are equally well-suited for a given…

cs.LG2024★ 3 cited

A Novel Hybrid Feature Importance and Feature Interaction Detection Framework for Predictive Optimization in Industry 4.0 Applications

Zhipeng Ma, Bo Nørregaard Jørgensen, Zheng Grace Ma

Advanced machine learning algorithms are increasingly utilized to provide data-based prediction and decision-making support in Industry 4.0. However, the prediction accuracy achiev…

cs.AI2024★ 23 cited

A Scoping Review of Energy-Efficient Driving Behaviors and Applied State-of-the-Art AI Methods

Zhipeng Ma, Bo Nørregaard Jørgensen, Zheng Ma

The transportation sector remains a major contributor to greenhouse gas emissions. The understanding of energy-efficient driving behaviors and utilization of energy-efficient drivi…

cs.CY2024★ 5 cited

Business Models for Digitalization Enabled Energy Efficiency and Flexibility in Industry: A Survey with Nine Case Studies

Zhipeng Ma, Bo Nørregaard Jørgensen, Michelle Levesque +2

Digitalization is challenging in heavy industrial sectors, and many pi-lot projects facing difficulties to be replicated and scaled. Case studies are strong pedagogical vehicles fo…

eess.SY2024★ 7 cited

Eco-driving Intelligent Systems and Algorithms: A Patent Review

Zhipeng Ma, Bo Nørregaard Jørgensen, Zheng Grace Ma

The transportation industry remains a significant contributor to greenhouse gas emissions, highlighting the requirement for intelligent systems to enhance vehicle energy efficiency…