Many consumers of electric power have excesses in their electric power consumptions that
exceed the permissible limit by the electrical power distribution stations, and then we …

Electrical energy consumption is always increasing, and this causes the supply of electrical
energy to be increased to compensate. One solution is to predict electricity energy …

The development of renewable resources and the deregulation of the market have made
forecasting energy demand more critical in recent years. Advanced intelligent models are …

Knowledge discovery in databases (KDD) has an important effect on various fields with the
development of information science. Electricity energy forecasting (EEF), a primary …

Energy consumption forecasting is a hot field of research; despite the number of developed
models, projecting electric consumption in residential buildings remains problematic owing …

Shear slowness data are crucial data in rock physics analysis and seismic reservoir
characterization. In petrophysical formation evaluation, the use of sonic data is limited, and …

In the past, the power consumption behavior of customers was not considered, so the
research of power consumption behavior based on artificial intelligence technology was put …

Today, the importance of the electricity industry as a major industry and its vital role in
launching and exploiting other industries cannot be ignored. Therefore, long-term planning …

The accurate prediction of electricity demand is becoming increasingly important in light of
market deregulation and the integration ofrenewable energy sources into the electrical …

Self-consumption of electricity plays an important role in the energy transition and using
green, sustainable energy sources for industrial self-sufficiency and electricity bills, meeting …