6 days ago ¡¤ In this study, a comprehensive four-step approach is introduced for short-term load forecasting (STLF) aimed at precisely estimating power demand and generation ...

6 days ago ¡¤ This approach, adapting a Tikhonov regularization to our parametric regression, allows prediction building on the polynomial model function. To this end, we ...

4 days ago ¡¤ To evaluate the predictive model's accuracy and robustness, various configurations were applied by altering the buildings' dimensions and functions. This ...

5 days ago ¡¤ This paper developed a predictive model for determining the condition of voltage in a power system based on the network topology behavior as input formulation.

7 days ago ¡¤ This approach, adapting a Tikhonov regularization to our parametric regression, allows prediction building on the polynomial model function. To this end, we ...

2 days ago ¡¤ In this study, in order to evaluate the groundwater vulnerability of Kerman–Baghin plain aquifer, two developed indicators including composite DRASTIC index (CD) ...

3 days ago ¡¤ This study uses three different ML algorithms: RF, NARX Neural Networks, and GRNN. And a thorough methodology is proposed in this research to predict the HPC-CS ...

4 days ago ¡¤ We utilize it for time-series prediction and apply the approach to forecast hurricane tracks and their wind speeds.

6 days ago ¡¤ This study aims to optimize the length partitioning of modular MEP systems in building construction using a genetic algorithm, addressing challenges such as ...

6 days ago ¡¤ To represent the trajectory as a piecewise Bézier curve, we use the Bernstein polynomial basis function. ... predicted trajectory approach with global path ...