The growing success of smart grids (SGs) is driving increased interest in load forecasting
(LF) as accurate predictions of energy demand are crucial for ensuring the reliability …

ChatGPT is an emerging technology that revolutionizes organizational practices,
fundamentally altering how individuals in organizations search for, generate, and utilize …

The cost of electricity and gas has a direct influence on the everyday routines of people who
rely on these resources to keep their businesses running. However, the value of electricity is …

The modern-day urban energy sector possesses the integrated operation of various
microgrids located in a vicinity, named cluster microgrids, which helps to reduce the utility …

In recent years, air pollution has become a factor that cannot be ignored, affecting human
lives and health. The distribution of high-density populations and high-intensity development …

In this paper, multiple featured machine learning algorithms and deep learning algorithms
are applied in forecasting the electric vehicles charging load profile from real datasets of …

Energy conservation and preventive maintenance of equipment require the ability to
accurately predict future trends in shop floor power consumption to keep track of equipment …

The multi-step prediction of electric power load is a crucial technology to promote power grid
intelligence. Precise forecasting of short-term electric power will enhance the meticulous …

The focus of this paper is to improve short-term load forecasting for electric power. To
achieve this goal, the study explores and evaluates hybrid models, specifically using the …

The maintenance of electrical grids is crucial for improving their reliability, performance, and
cost-effectiveness. It involves employing various strategies to ensure smooth operation and …