23 citations · 98 across the 19 of their papers we have counts for
21 papers
A Digital Twin-Based Method for Evaluating Local Collective Tariffs in Distribution-Level Energy Systems
Kristoffer Christensen, Bo Nørregaard Jørgensen, Zheng Grace Ma
This work addresses the need for engineering-grounded evaluation of implement-ed tariff mechanisms in distribution-level energy systems. A digital twin-based method is proposed for…
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…
Multi-Agent Based Simulation for Decentralized Electric Vehicle Charging Strategies and their Impacts
Kristoffer Christensen, Bo Nørregaard Jørgensen, Zheng Grace Ma
The growing shift towards a Smart Grid involves integrating numerous new digital energy solutions into the energy ecosystems to address problems arising from the transition to carb…
Multi-agent based modeling for investigating excess heat utilization from electrolyzer production to district heating network
Kristoffer Christensen, Bo Nørregaard Jørgensen, Zheng Grace Ma
Power-to-Hydrogen is crucial for the renewable energy transition, yet existing literature lacks business models for the significant excess heat it generates. This study addresses t…
Multi-Agent Based Simulation for Investigating Centralized Charging Strategies and their Impact on Electric Vehicle Home Charging Ecosystem
Kristoffer Christensen, Bo Nørregaard Jørgensen, Zheng Grace Ma
This paper addresses the critical integration of electric vehicles (EVs) into the electricity grid, which is essential for achieving carbon neutrality by 2050. The rapid increase i…
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…
Multi-Agent Based Simulation for Investigating Electric Vehicle Adoption and Its Impacts on Electricity Distribution Grids and CO2 Emissions
Kristoffer Christensen, Zheng Grace Ma, Bo Nørregaard Jørgensen
Electric vehicles are expected to significantly contribute to CO2-eq. emissions reduction, but the increasing number of EVs also introduces chal-lenges to the energy system, and to…
A Scoping Review of Energy Load Disaggregation
Balázs András Tolnai, Zheng Ma, Bo Nørregaard Jørgensen
Energy load disaggregation can contribute to balancing power grids by enhancing the effectiveness of demand-side management and promoting electricity-saving behavior through increa…
Standard energy data competition procedure: A comprehensive review with a case study of the ADRENALIN load disaggregation competition
Balázs András Tolnai, Zheng Ma, Bo Nørregaard Jørgensen
Crowdsourcing data science competitions has become popular as a cost-effective alternative to solving complex energy-related challenges. How-ever, comprehensive reviews on hosting…
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…
A Modifiable Architectural Design for Commercial Greenhouses Energy Economic Dispatch Testbed
Christian Skafte Beck Clausen, Bo Nørregaard Jørgensen, Zheng Grace Ma
Facing economic challenges due to the diverse objectives of businesses, and consumers, commercial greenhouses strive to minimize energy costs while addressing CO2 emissions. This s…