To meet the expanding energy demand, all available energy sources must be utilized.
Renewable energies are both eternal and natural, but their major downside is their …

As the world transitions from fossil fuels, solar and wind energy have become top renewable
and cost-effective alternatives. However, their sporadic nature requires a form of energy …

Human Activity Recognition (HAR) is becoming an essential part of human life care. Existing
HAR methods are usually developed using a two-level approach, wherein a first-level …

Power system demand forecasting is a crucial task in the power system engineering field.
This is due to the fact that most system planning and operation activities basically rely on …

This article presents a novel hybrid approach using classic statistics and machine learning
to forecast the national demand of electricity. As investment and operation of future energy …

Defective PV panels reduce the efficiency of the whole PV string, causing loss of investment
by decreasing its efficiency and lifetime. In this study, firstly, an isolated convolution neural …

An adaptive critic system based on the policy iteration (PI) technique has been developed in
this study. The proposed control technique has been effectively applied to the problem of …

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 …

Imaging modalities such as computed tomography (CT) and magnetic resonance imaging
(MRI) are widely used in diagnostics, clinical studies, and treatment planning. Automatic …

The integration of new types of consumers and prosumers into distribution networks
presents significant challenges for network planners, especially given the uncertainties of …