Renzhi Lu
Orcid: 0000-0001-6845-1711
According to our database1,
Renzhi Lu
authored at least 13 papers
between 2006 and 2025.
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Bibliography
2025
A Novel Sequence-to-Sequence-Based Deep Learning Model for Multistep Load Forecasting.
IEEE Trans. Neural Networks Learn. Syst., January, 2025
2024
A Novel Hybrid-Action-Based Deep Reinforcement Learning for Industrial Energy Management.
IEEE Trans. Ind. Informatics, October, 2024
A Transferable Ensemble Additive Network for Interpretable Prediction of Key Performance Indicators.
IEEE Trans. Instrum. Meas., 2024
2023
Reward Shaping-Based Actor-Critic Deep Reinforcement Learning for Residential Energy Management.
IEEE Trans. Ind. Informatics, March, 2023
Proceedings of the 49th Annual Conference of the IEEE Industrial Electronics Society, 2023
2022
Deep Reinforcement Learning-Based Demand Response for Smart Facilities Energy Management.
IEEE Trans. Ind. Electron., 2022
Reward Shaping-based Double Deep Q-networks for Unmanned Surface Vessel Navigation and Obstacle Avoidance.
Proceedings of the IECON 2022, 2022
2021
IEEE Trans. Smart Grid, 2021
2019
Demand Response for Home Energy Management Using Reinforcement Learning and Artificial Neural Network.
IEEE Trans. Smart Grid, 2019
2017
OPC UA-Based Smart Manufacturing: System Architecture, Implementation, and Execution.
Proceedings of the 5th International Conference on Enterprise Systems, 2017
2015
Experimental investigation of the packet loss rate of wireless industrial networks in real industrial environments.
Proceedings of the IEEE International Conference on Information and Automation, 2015
2007
Proceedings of the Medical Imaging 2007: Computer-Aided Diagnosis, San Diego, 2007
2006
Learning the relationship between patient geometry and beam intensity in breast intensity-modulated radiotherapy.
IEEE Trans. Biomed. Eng., 2006