In this review, we successively present the methods for phenomenological modeling of the
evolution of reported and unreported cases of COVID-19, both in the exponential phase of …

Electric energy demand forecasting is vital in contemporary power systems, especially
amidst market deregulation trends and the increasing influence of industrial customers on …

Future energy planning relies on understanding how much energy is produced and
consumed. In response, this study developed a multihybrid adaptive neuro‐fuzzy inference …

Electricity is undeniably one of the most crucial building blocks of high-quality life all over the
world. Like many other African countries, Nigeria is still grappling with the challenge of the …

The success of anaerobic digestion (AD) process for biogas production is contingent upon
complex mix of operating factors, process conditions, and feedstock types, which could be …

Accurately predicting air quality concentrations is a challenging task due to the complex
interactions of pollutants and their reliance on nonlinear processes. This study introduces an …

The study focuses on optimizing biomethane yield in the anaerobic digestion of alkali-
pretreated groundnut shells, involving varied input parameters. Biomethane optimization will …

Energy is one of the essential components for the social and economic growth of urban and
rural communities worldwide. However, the lack of energy supply is one of the most …

Autonomous navigation of mobile robots is a fruitful research area because of the diversity of
methods adopted by artificial intelligence. Recently, several works have generally surveyed …

To shape future energy strategies effectively, it is crucial to comprehend the dynamics of
energy generation and utilization. Given the significance of accurate prediction, this …