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A Hybrid CART-Gaussian Process Framework for Day-Ahead Electricity Load Forecasting with Uncertainty Quantification2025 International Conference on Power and Renewable Energy Engineering (PREE) conference-paper Engineering Energy Load and Power Forecasting
Ei Thu Thu Tun, Chawalit Jeenanunta, Pyae Pyae Phyo, Kamal Chapagain
0citations -
Predicting the Time Until a Vehicle Changes the Lane Using LSTM-Based Recurrent Neural Networks2021 IEEE Robotics and Automation Letters article Engineering Autonomous Vehicle Technology and Safety Open access
Florian Wirthmüller, Marvin Klimke, Julian Schlechtriemen, Jochen Hipp, Manfred Reichert
38citations -
Environment Perception and Object Tracking for Autonomous Vehicles in a Harbor Scenario2020 IEEE International Conference on Intelligent Transportation Systems (ITSC) conference-paper Engineering Robotics and Sensor-Based Localization cited by 1 patent
Jiaying Lin, Lucas Koch, Martin Kurowski, Jan-Jöran Gehrt, Dirk Abel, René Zweigel
16citations -
Introducing a Deep Neural Network-Based Model Predictive Control Framework for Rapid Controller Implementation2024 Proceedings of the ... American Control Conference/Proceedings of the American Control Conference conference-paper Engineering Advanced Control Systems Optimization Open access
Alexander Winkler, Julian Bedei, Patrick Schaber, Stefan Pischinger, Jakob Andert, Charles Robert Koch
14citations -
Self-Calibrating Loss Models for Real-Time Monitoring of Power Modules Based on Artificial Neural Networks2022 IEEE Energy Conversion Congress and Exposition (ECCE) conference-paper Engineering Silicon Carbide Semiconductor Technologies cited by 1 patent
Sven Kalker, David Meier, Christoph H. van der Broeck, Rik W. De Doncker
11citations