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

23 citations · 45 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG20247 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.LG20243 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.AI202423 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.CY20245 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.SY20247 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…