Data-driven economic tasks have gained significant attention in economics, allowing
researchers and policymakers to make better decisions and design efficient policies …

The Internet of Things (IoT) represents a cutting-edge technical domain, encompassing
billions of intelligent objects capable of bridging the physical and virtual worlds across …

Energy consumption is getting rising gradually around the planet. Therefore, the importance
of energy management has increased for all nations worldwide, and long-term energy …

In this study, Bezier search differential evolution (BeSD) and black widow optimization
(BWO) algorithms-based estimation models in different forms have been developed to …

This paper presents a comprehensive review of the most recent papers and research trends
in the fields of wind energy and artificial intelligence. Our study aims to guide future research …

Artificial neural networks (ANNs) are widely used machine learning techniques with
applications in various fields. Heuristic search optimization methods are typically used to …

Energy demand forecasting is a fundamental aspect of modern energy management. It
impacts resource planning, economic stability, environmental sustainability, and energy …

In this article, an optimization strategy is presented for the numerical solution of Burgers'
equations, which play an important role in estimating and forecasting pollution. The method …

The establishment of a natural gas production model under multi factor control provides
support for the formulation of planning schemes and exploration deployment decisions, and …

In the present work, India's primary energy use is analysed in terms of four socio-economic
variables, including Gross Domestic Product, population, and the amounts of exports and …