Droughts are the most spatially complex geohazard, which often lasts for years, thereby
severely impacting socio-economic sectors. One of the critical aspects of drought studies is …

Statement of Problem: Environmental engineering confronts complex challenges
characterized by significant uncertainties. Traditional modeling methods often fail to …

In practical applications of iterative learning control (ILC), the repetitive process may end up
early by accident during the performance improvement along the trial axis, which yields the …

This paper studies the current sharing and voltage balancing problems of direct current
microgrids (DC-MGs) consisting of distributed generation units (DGUs) connected by a …

The focus of this study is to investigate the critical matter of voltage sags in power systems,
which have a substantial adverse effect on both the functionality of equipment and the …

A deep learned recurrent type-3 (RT3) fuzzy logic system (FLS) with nonlinear consequent
part is presented for renewable energy modeling and prediction. Beside the rule …

Meta-heuristic optimization algorithms aim to tackle real world problems through maximizing
some specific criteria such as performance, profit, and quality or minimizing others such as …

In this article, a novel method based on interval type-3 fuzzy logic systems (IT3-FLSs) and an
online learning approach is designed for power control and battery charge planing for …

In this study, a self-organizing interval type-3 fuzzy logic system (SO-IT3FLS) with a new
learning algorithm is presented. An adaptive kernel size using fuzzy systems is introduced to …

This paper presents a novel approach to optimize the performance and emission
characteristics of a single cylinder compression ignition engine using diesel-hydrogen dual …