The number of publications in demand forecasting of the energy supply chain augmented
meaningfully due to the 2008 global financial crisis and its consequence on the global …

Road automobiles are deemed one of the major resources of energy consumption
throughout cities. To realize and design sustainable urban transport, it is essential to …

Pennsylvania and Texas accounted for about 60% of US total shale gas production. Better
forecasting shale gas production in Pennsylvania and Texas can serve us to better predict …

In recent years, the scale of the energy Internet of Things has been rapidly increased, and
the number of IoT device connections has grown exponentially. Massive device access …

In this study, energy demand estimation (EDE) was implemented by a proposed hybrid
gravitational search–teaching–learning-based optimization method with developed linear …

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

A prediction model of pKa values of neutral and alkaline drugs based on particle swarm
optimization algorithm and back propagation artificial neural network, called PSO–BP ANN …

Electricity consumption curves are highly non-linear as many external factors affect the
electricity consumption. Artificial Neural Networks (ANNs) are popular in electricity load …

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 …

We propose a hybrid off-grid energy system that comprises photovoltaic panels, wind
turbines, diesel generators, and a battery bank. The proposed system could be adjusted to …