Microgrid Optimal Energy Scheduling Considering Neural Network Based Battery Degradation
Author:
Affiliation:
1. Department of Electrical and Computer Engineering, University of Houston, Houston, TX, USA
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Energy Engineering and Power Technology
Link
http://xplorestaging.ieee.org/ielx7/59/10375285/10024902.pdf?arnumber=10024902
Reference43 articles.
1. Real-Time Energy Management in Microgrids With Reduced Battery Capacity Requirements
2. Battery Energy Storage System (BESS) and Battery Management System (BMS) for Grid-Scale Applications
3. Study of the Characteristics of Battery Packs in Electric Vehicles With Parallel-Connected Lithium-Ion Battery Cells
4. Li-Ion Battery State of Health Estimation and Remaining Useful Life Prediction Through a Model-Data-Fusion Method
5. Modeling of lithium-ion battery degradationfor cell life assessment
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