4 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…
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…