Ursula Eicker

Orcid: 0000-0002-6851-250X

According to our database1, Ursula Eicker authored at least 25 papers between 2016 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2025
A geographic-semantic context-aware urban commuting flow prediction model using graph neural network.
Expert Syst. Appl., 2025

2024
Non intrusive load monitoring using additive time series modeling via finite mixture models aggregation.
J. Ambient Intell. Humaniz. Comput., September, 2024

OpenWasteAI - Open Data, IoT, and AI for Circular Economy and Waste Tracking in Resource-Constrained Communities.
IEEE Technol. Soc. Mag., March, 2024

Novel Incentive-Based Multi-Level Framework for Flexibility Provision in Smart Grids.
IEEE Trans. Smart Grid, 2024

MetamEnTh: An Object-Oriented Metamodel for IoT Systems in Buildings.
IEEE Internet Things J., 2024

Optimization of Energy Systems using MILP and RC Modeling: A Real Case Study in Canada.
Proceedings of the IEEE International Systems Conference, 2024

Evaluation of APIs for Data Exchange with Building Management Systems.
Proceedings of the 6th IEEE/ACM International Workshop on Software Engineering Research & Practices for the IoT, 2024

HydroVision: LiDAR-Guided Hydrometric Prediction with Vision Transformers and Hybrid Graph Learning.
Proceedings of the Advances in Visual Computing - 19th International Symposium, 2024

An Architectural Approach for Enhanced Data Interoperability Across Building Systems.
Proceedings of the 7th Conference on Cloud and Internet of Things, 2024

Modelling Decarbonization Strategies for Urban Energy Systems.
Proceedings of the Annual Modeling and Simulation Conference, 2024

2023
Optimal Control Strategy for Mixed Fuel Use in a Renewable Polygeneration System.
Proceedings of the 12th International Conference on Smart Cities and Green ICT Systems, 2023

Building IoT Systems Modeling: A Object-oriented Metamodeling Approach.
Proceedings of the 5th IEEE/ACM International Workshop on Software Engineering Research and Practices for the IoT, 2023

TransGlow: Attention-augmented Transduction model based on Graph Neural Networks for Water Flow Forecasting.
Proceedings of the International Conference on Machine Learning and Applications, 2023

2022
A Comprehensive Analysis of Wireless Charging Systems for Electric Vehicles.
IEEE Access, 2022

Simpler is better: Multilevel Abstraction with Graph Convolutional Recurrent Neural Network Cells for Traffic Prediction.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022

2021
Using 3D CityGML for the Modeling of the Food Waste and Wastewater Generation - A Case Study for the City of Montréal.
Frontiers Big Data, 2021

Multi-Level Energy Management Systems Toward a Smarter Grid: A Review.
IEEE Access, 2021

On Short-Term Load Forecasting Using Machine Learning Techniques and a Novel Parallel Deep LSTM-CNN Approach.
IEEE Access, 2021

Is It Necessary to Fully Charge Your Electric Vehicle?
IEEE Access, 2021

A framework for asset management planning in sustainable and resilient cities.
Proceedings of the IEEE International Symposium on Technology and Society, 2021

2020
Using Climate-Sensitive 3D City Modeling to Analyze Outdoor Thermal Comfort in Urban Areas.
ISPRS Int. J. Geo Inf., 2020

2018
Regulatory Uncertainty and Simulations of Novel Electricity Tariffs for Households: Applications in Germany and Demand Elasticity.
Proceedings of the 2018 IEEE International Conference on Engineering, 2018

Using 3D CityGML Models for Building Simulation Applications at District Level.
Proceedings of the 2018 IEEE International Conference on Engineering, 2018

2017
The influence of data quality on urban heating demand modeling using 3D city models.
Comput. Environ. Urban Syst., 2017

2016
Towards understanding the value of decentralized heat pumps for network services in Germany: Insights concerning self-consumption and secondary reserve power.
Proceedings of the IEEE International Smart Cities Conference, 2016


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