IEEE

Optimal Scheduling of Islanded Microgrid Systems Based on the SAC Reinforcement Learning Algorithm Model

Abstract: To address the challenges of frequency instability and economic dispatch in islanded microgrids under renewable energy fluctuations, this paper proposes an optimal scheduling method based on ...
IEEE

Optimal Secure Control for Cyber-Physical Systems Under False Data Injection Attacks via Incremental Iterative Q-Learning Algorithm

Abstract: An incremental iterative Q-learning algorithm (IIQLA) is proposed to tackle the optimal secure control problem for cyber-physical systems under false data injection attacks. Within a ...
GitHub

antoni-kuczynski/Huffman_Compressor

File (de)compression with different key lengths, e.g. 1,2,... bytes per Huffman's code. Allows for file size reduction of 20% to 80%. 7 6 5 4 3 2 1 0 ----- [AL AL AL] [BL BL BL BL BL] 3bits 5bits AL - ...
Frontiers

Day-Ahead Optimal Scheduling of Large-Scale Renewable Energy Bases Based on Rime Optimization Algorithm

China Energy Engineering Guangxi Electric Power Design Institute Co., ltd, Nanning, China The final, formatted version of the article will be published soon. The integration of large-scale renewable ...
GitHub

GPU-Accelerated Clustering with RAPIDS cuML

Algorithm Selection — Choose KMeans, DBSCAN, or HDBSCAN and set hyperparameters via config file or CLI flags. Model Fitting — Call fit () on the GPU. cuML handles host-to-device transfers ...