The objective of this study was the development of an approach based on machine learning
and GIS, namely Adaptive Neuro-Fuzzy Inference System (ANFIS), Gradient-Based …

Integration of distributed generation (DG) with existing utility grid develops as an evolving
power network which is ecumenically addresses several issues such as extinction of fossil …

Machine learning algorithms play varied roles in the forecasting of loads in the electricity
sector. The forecasting of electric load depends on multiple nonlinear data, which in turn is …

In this paper, a novel regenerative braking control strategy for Brushless DC (BLDC) motors
in electric vehicles (EVs) is introduced. The proposed control approach is a fusion of diverse …

Renewable energy is a clean and environmentally friendly energy source. With the
increasing global emphasis on environmental protection and sustainable development …

As an environmentally benign and sustainable alternative to conventional internal
combustion engine cars, electric vehicles (EVs) have the potential to drastically cut …