Predictive analytics utilizing machine learning algorithms play a pivotal role in various
domains, including the profiling of carbon dioxide (CO2) emissions. This research paper …

With the growth of population, many countries face the challenge of supplying energy
resources. One approach to managing and planning these resources is to predict energy …

The transportation sector is deemed one of the primary sources of energy consumption and
greenhouse gases throughout the world. To realise and design sustainable transport, it is …

Electricity plays a pivotal role in the operation and development of contemporary societies
and economies, with its significance escalating as electricity-dependent technologies like …

The accuracy of power load forecasting plays an important role in the development of the
economy and the promotion of energy consumption and transformation. Aiming at the strong …

Abstract 3D Printing (3DP) of pharmaceuticals could drastically transform the manufacturing
of medicines and facilitate the widespread availability of personalised healthcare. However …

This research work is devoted to undertake a mathematical model for emissions of carbon
dioxide (CO 2) from energy sector using the concept of fractals-fractional differential (FFD) …

Second generation biorefineries play an important role in the production of renewable
energy and fuels, utilizing forest and agro-industrial residues and by-products as raw …

Medium Neural Networks (MNN), Whale Optimization Algorithm (WAO), and Support Vector
Machine (SVM) methods are frequently used in the literature for estimating electricity …

Accurate prediction of thermal load in buildings is essential for efficient energy planning. In
this study, we investigate the application of Artificial Neural Networks (ANNs) to predict …