Abstract: Enhancing the resilience of networked microgrids (NMGs) through model predictive control-based vehicle-to-grid (V2G) strategies faces a key challenge due to the lack of real-time perception ...
Abstract: Background: Understanding the complex dynamics of urban environments is crucial for building smarter and more livable cities. To achieve this, it is essential to capture the interactions ...
Significant predictors were selected on the training set using recursive feature elimination methods, followed by prediction model development using 7 machine learning algorithms (logistic regression, ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results