This paper presents a hybrid approach to predict the electric energy usage of weather‐
sensitive loads. The presented method utilizes the clustering paradigm along with ANN and …

Engine performance parameters, including fuel conversion efficiency (FCE), power, torque
and specific fuel consumption (SFC), can be affected by variables such as ignition timing …

Now-a-days biodiesel is gaining attention for its positive impact on the environment. The
vegetable oils are major sources of biodiesel. For biodiesel programme in India, jatropha …

Neural networks are applicable in many solutions for classification, prediction, control, etc.
The variety of purposes is growing but with each new application the expectations are …

In this current analysis, biodiesel derived from third-generation microalgae spirulina is
assessed as a replacement for diesel. Also, the influence of nano additives Al2O3 and MgO …

Nanocomposite film performance parameters, including barrier and mechanical properties
for packaging films, can be affected by variables such as the type and the concentration of …

The demand of mineral diesel is increasing day by day due to more use of diesel engines in
different sectors. The exhaust emission of diesel engines is a major source of air pollution …

In this paper, an improved, real-time, highly accurate control-oriented style, named Neuro
Mean Value Modeling, is presented for IC engine modeling. This model is a combination of …

Due to the prevalent fuel economy, research on electric hybrid vehicles (HEVs) has attracted
recently widespread attention. However, most researches were focused on electrification …

This book presents a step-by-step guide to the engine control system design, providing case
studies and a thorough analysis of the modeling process using machine learning, and …