Artificial Intelligence Applications for Energy Management in Microgrid
Author:
Affiliation:
1. Gazi University,Faculty of Technology,Department of Electrical-Electronics Engineering,Ankara,Turkey
2. TUSAS-Kazan Vocational School, Gazi University,Department of Electronics and Automation,Ankara,Turkey
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10169137/10169142/10170860.pdf?arnumber=10170860
Reference40 articles.
1. Artificial intelligence and machine learning approaches to energy demand-side response: A systematic review
2. Energy Management Method of Hybrid AC/DC Microgrid Using Artificial Neural Network
3. A Review of Machine Learning Approaches to Power System Security and Stability
4. Reinforcement Learning Approach for Optimal Distributed Energy Management in a Microgrid
5. Artificial neural network-based dynamic power management of a DC microgrid: a hardware-in-loop real-time verification
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