23 citations · 98 across the 19 of their papers we have counts for
4 papers · 1 filter
A Visual Diagnostics Framework for District Heating Data: Enhancing Data Quality for AI-Driven Heat Consumption Prediction
Kristoffer Christensen, Bo Nørregaard Jørgensen, Zheng Grace Ma
High-quality data is a prerequisite for training reliable Artificial Intelligence (AI) models in the energy domain. In district heating networks, sensor and metering data often suf…
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…
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…
Identifying Best Practice Melting Patterns in Induction Furnaces: A Data-Driven Approach Using Time Series KMeans Clustering and Multi-Criteria Decision Making
Daniel Anthony Howard, Bo Nørregaard Jørgensen, Zheng Ma
Improving energy efficiency in industrial production processes is crucial for competitiveness, and compliance with climate policies. This paper introduces a data-driven approach to…