23 citations · 50 across the 11 of their papers we have counts for
12 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…
Rethinking Traffic Flow Forecasting: From Transition to Generatation
Li Shijiao, Ma Zhipeng, He Huajun +1
Traffic flow prediction plays an important role in Intelligent Transportation Systems in traffic management and urban planning. There have been extensive successful works in this a…
Fuel Efficiency Analysis of the Public Transportation System Based on the Gaussian Mixture Model Clustering
Zhipeng Ma, Bo Nørregaard Jørgensen, Zheng Ma
Public transportation is a major source of greenhouse gas emissions, highlighting the need to improve bus fuel efficiency. Clustering algorithms assist in analyzing fuel efficiency…
DataPro -- A Standardized Data Understanding and Processing Procedure: A Case Study of an Eco-Driving Project
Zhipeng Ma, Bo Nørregaard Jørgensen, Zheng Grace Ma
A systematic pipeline for data processing and knowledge discovery is essential to extracting knowledge from big data and making recommendations for operational decision-making. The…
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…
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…