23 citations · 40 across the 7 of their papers we have counts for
8 papers
STREAM: An Objective-Driven and Uncertainty-Aware Framework for Industrial Energy Data Acquisition
Zhipeng Ma, Bo Nørregaard Jørgensen, Zheng Grace Ma
Industrial energy management requires datasets that connect energy use with equipment states, production batches, material flows, and process conditions. However, conventional acqu…
Multi-Agent Multimodal Large Language Model Framework for Automated Interpretation of Fuel Efficiency Analytics in Public Transportation
Zhipeng Ma, Ali Rida Bahja, Andreas Burgdorf +4
Enhancing fuel efficiency in public transportation requires the integration of complex multimodal data into interpretable, decision-relevant insights. However, traditional analytic…
Discovering Operational Patterns Using Image-Based Convolutional Clustering and Composite Evaluation: A Case Study in Foundry Melting Processes
Zhipeng Ma, Bo Nørregaard Jørgensen, Zheng Grace Ma
Industrial process monitoring increasingly relies on sensor-generated time-series data, yet the lack of labels, high variability, and operational noise make it difficult to extract…
Uncovering Causal Drivers of Energy Efficiency for Industrial Process in Foundry via Time-Series Causal Inference
Zhipeng Ma, Bo Nørregaard Jørgensen, Zheng Grace Ma
Improving energy efficiency in industrial foundry processes is a critical challenge, as these operations are highly energy-intensive and marked by complex interdependencies among p…
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…
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…
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…
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…