Over the past decade, there has been rapid increase in the offshore wind turbine
installations. The future installations will see a progression from shallow to deep waters. It …

Currently, the Savonius wind turbine (SWT) has established itself as a reliable wind turbine
solution, particularly for small-scale wind farms. It is a reliable form of power generation …

The study is aimed at training an artificial neural network to determine the specific Photo
voltaic thermal (PV/T) system that will function optimally in a specific environmental situation …

This paper explores the use of applied mathematical modelling in the field of evolutionary
biochemistry. The authors demonstrate how mathematical models can be applied to better …

A country of billion people, India has witnessed a sharp increase in its economic activities in
the past few decades, fulfilling the needs of its ever-growing population, which has come at …

Savonius hydrokinetic turbine is a vertical axis turbine suitable for generating electrical
power used in rivers and canals. The performance of the turbine is described in terms of …

Abstract The Savonius Hydro-Kinetic Turbine (SHKT) has a frugal design with the possibility
of easy local manufacturing. Therefore, SHKT is a suitable proposition for off-grid power …

An optimal structure of wind turbines, especially the Dual Darrieus Wind Turbines (DDWTs),
conduces to the development and promotion of wind power industry. However, the …

The deep learning model constituting two neural network models (ie, densely connected
and long short-term memory) has been applied for automatic characterization of dual …

This research aims to optimize deep learning models constituting long short-term memory
and dense neural networks using the genetic algorithm (GA). This novel scenario has been …