Bayesian Hyperparameter Optimization of Stacked Long Short-Term Memory Neural Network for the State of Charge Estimation
Author:
Affiliation:
1. Politecnico di Milano,Department of Energy,Milano,Italy
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9941347/9941375/09941407.pdf?arnumber=9941407
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1. Forecasting: theory and practice
2. A New Probabilistic Ensemble Method for an Enhanced Day-Ahead PV Power Forecast
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5. Neural Network Approach for Estimating State of Charge of Lithium-Ion Battery Using Backtracking Search Algorithm
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1. Advanced Intelligent Hybrid Approach for State of Charge Estimation of Li-Ion Batteries in Electric Vehicles under Various Drive Cycles;2023 IEEE International Conference on Power Electronics, Smart Grid, and Renewable Energy (PESGRE);2023-12-17
2. State of Charge Estimation Using a Nonlinear Autoregressive with Exogenous Input Neural Network;2023 IEEE Belgrade PowerTech;2023-06-25
3. Hyperband Optimization of Stacked Bidirectional Long Short-Term Memory Neural Network for the State of Charge Estimation;2023 IEEE International Conference on Environment and Electrical Engineering and 2023 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe);2023-06-06
4. An Overview of Data-Driven Methods for the State of Health Estimation;2023 IEEE International Conference on Environment and Electrical Engineering and 2023 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe);2023-06-06
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