Ursula Eicker
Orcid: 0000-0002-6851-250X
According to our database1,
Ursula Eicker
authored at least 25 papers
between 2016 and 2025.
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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
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
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
Proceedings of the Annual Modeling and Simulation Conference, 2024
2023
Proceedings of the 12th International Conference on Smart Cities and Green ICT Systems, 2023
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
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
IEEE Access, 2021
On Short-Term Load Forecasting Using Machine Learning Techniques and a Novel Parallel Deep LSTM-CNN Approach.
IEEE Access, 2021
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
Proceedings of the 2018 IEEE International Conference on Engineering, 2018
2017
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