Development of Temperature Control in Climatic Test Chambers with LSTM-based Deep Neural Network Algorithm
Author:
Affiliation:
1. Ottonom Engineering Solutions Inc.,Research and Development Department,Bursa,Turkey
2. Electrical Electronical Engineering, Bursa Technical University,Faculty of Engineering and Natural Science,Bursa,Turkey
Funder
Scientific and Technological Research Council of Turkey
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10156655/10155769/10156695.pdf?arnumber=10156695
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1. Detection and Classification of Power Quality Disturbances in Smart Grids Using Artificial Intelligence Methods
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3. Proceedings of UASG 2019
4. A Deep Learning-Based Islanding Detection Approach by Considering the Load Demand of DGs Under Different Grid Conditions
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