IEEE

Interpretable Prediction of a Decentralized Smart Grid Based on Machine Learning and Explainable Artificial Intelligence

Abstract: The concept of a decentralized smart grid has emerged as a viable approach for efficiently managing and distributing electrical energy. Ensuring the stability and reliability of the grid, ...
GitHub

Predicting cellular responses to perturbation across diverse contexts with State

Train State transition models or pretrain State embedding models. See the State paper. See the Google Colab to train STATE for the Virtual Cell Challenge. To start an experiment, write a TOML file ...
IEEE

Digital Twin Based Health Monitoring of Converter in Grid Integrated PV Systems using State Space Modeling and Advanced Control and Optimization Techniques

Abstract: This research examines the application of an emerging technology known as the Digital Twin (DT) for the real-time health assessment of diverse grid-integrated photovoltaic (PV) system ...
Frontiers

Elastic wave equation numerical simulation with time-space domain dispersion-relation-based staggered-grid finite-difference method

The final, formatted version of the article will be published soon. Compared to the conventional high-order staggered-grid finite-difference method (C-SFD), the 3 time-space domain dispersion-relation ...