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Image Search Results


Journal: Data in Brief

Article Title: Dataset of noise signals generated by smart attackers for disrupting state of health and state of charge estimations of battery energy storage systems

doi: 10.1016/j.dib.2024.111200

Figure Lengend Snippet:

Article Snippet: Data collection , The data were collected using real-time simulations in MATLAB/Simscape (R2024a and R2024b). Deep Reinforcement Learning (DRL) agent known as Proximal Policy Optimization (PPO), was implemented to generate noise signals. These simulations focused on disrupting State of Charge (SoC) and State of Health (SoH) estimations using Unscented Kalman Filters (UKF) in Battery Energy Storage Systems (BESS). The dataset includes only those scenarios where noise signals successfully impacted the estimation accuracy..

Techniques: Battery, Biomarker Discovery