Short-term load forecasting (STLF) is critical for ensuring smooth and efficient functioning of
power systems. In this study, a prediction approach, combining ensemble empirical mode …

The development of the smart grid recognizes the importance of projecting electrical net
load forecasting, which represents the difference between load demand and installed …

With the ongoing process of industrialization, the issue of declining air quality is increasingly
becoming a critical concern. Accurate prediction of the Air Quality Index (AQI), considered as …

Current research into electricity consumption forecasting for General Hospital still has
considerable scope for further development, particularly in its failure to incorporate hospital …

Abstract The Smart Grids (SGs) have significantly improved the load demand with the help of
different generation modalities (DGMs), that are supporting the energy demand. Equally, it …

Since the degradation process of fan slewing bearings is easily influenced by the external
environment, it is difficult to estimate its remaining useful life (RUL) accurately. A nonlinear …

Short-term load forecasting (STLF) is essential for power system planning and operation
decision-making. Researchers in this field have devoted themselves to building point …

The increasing demand for energy in the building sector is mostly due to heat, ventilation
and air conditioning (HVAC) systems. In the absence of the clear sky beam optical depth …

Electric load forecasting plays an important role in the planning of power systems. Therefore,
it is necessary to develop effective and simple electric load forecasting methods. In this …

Accurate and efficient prediction of outbound volume of product oil is the source and basis of
scientific management for product oil inventory. In order to increase the inventory efficiency …