Improving Energy Efficiency in Climatic Test Chambers with Deep Learning and Absolute Humidity Methods
Author:
Affiliation:
1. Bolu Abant Izzet Baysal University,Electrical and Electronics Engineering Department,Bolu,Turkey
2. Ottonom Engineering Solutions,DETAIL E&E Systems Administrator, DETAIL,Bursa,Turkey
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10169137/10169142/10171071.pdf?arnumber=10171071
Reference27 articles.
1. Fertilizer-based liquid desiccants: A novel concept for energy efficient dehumidification and water vapor recycling in indoor plant environments
2. Humidity Control in Climate Chambers: A Review of Techniques and Strategies;franke;2021 IEEE 26th International Conference on Emerging Technologies and Factory Automation (ETFA),0
3. Energy-Efficient Time-Domain Vector-by-Matrix Multiplier for Neurocomputing and Beyond
4. Solutions Verification for Cloud-Based Networked Control System using Karush-Kuhn-Tucker Conditions
5. Climate Chamber Control: An Overview of State-of-the-Art Control Strategies for Test Chambers;heckmann;2020 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA),0
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