23 citations · 98 across the 19 of their papers we have counts for
8 papers · 1 filter
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…
Green Hydrogen under Uncertainty: Evaluating Power-to-X Strategies Using Agent-Based Simulation and Multi-Criteria Decision Framework
Frederik Wagner Madsen, Joy Dalmacio Billanes, Bo Nørregaard Jørgensen +1
The transition toward net-zero energy systems requires scalable and cost-effective deployment of Power-to-X technologies, particularly green hydrogen production. Despite increasing…
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…
A Visualization Framework for Exploring Multi-Agent-Based Simulations Case Study of an Electric Vehicle Home Charging Ecosystem
Kristoffer Christensen, Bo Nørregaard Jørgensen, Zheng Grace Ma
Multi-agent-based simulations (MABS) of electric vehicle (EV) home charging ecosystems generate large, complex, and stochastic time-series datasets that capture interactions betwee…
A Multi-Agent, Laxity-Based Aggregation Strategy for Cost-Effective Electric Vehicle Charging and Local Transformer Overload Prevention
Kristoffer Christensen, Bo Nørregaard Jørgensen, Zheng Grace Ma
The rapid electrification of transportation, driven by stringent decarbonization targets and supportive policies, poses significant challenges for distribution system operators (DS…
A systematic data characteristic understanding framework towards physical-sensor big data challenges
Zhipeng Ma, Bo Nørregaard Jørgensen, Zheng Grace Ma
Big data present new opportunities for modern society while posing challenges for data scientists. Recent advancements in sensor networks and the widespread adoption of IoT have le…
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…