Microgrids have become popular candidates for integrating diverse energy sources into the
power grid as means of reducing fossil fuel usage. Energy Resource Management (ERM) is …

There are many tricky optimization problems in real life, and metaheuristic algorithms are the
most effective way to solve optimization problems at a lower cost. The dung beetle …

Greenhouse gas emissions are critical issues for mankind, especially from the viewpoint of
electricity consumption. The smart grid is an emerging issue in terms of efficiency …

The accuracy and reliability of IoT-based sensor networks depend on validating sensed
data, including detecting outliers at the node level. This study proposes an online outlier …

Smart grids have become an emerging topic due to net-zero emissions and the rapid
development of artificial intelligence (AI) technology focused on achieving targeted energy …

Smart grid management is an emerging research topic that recently has adopted artificial
intelligence algorithms to assist in the task. However, as more and more data is used, data …

Abstract The advancement of Industrial Internet of Things (IIoT) applications has increased
the demand for efficient and energy-aware task scheduling in fog-cloud environments. This …

Sensors are the foundation to facilitate smart cities, smart grids, and smart transportation,
and distance sensors are especially important for sensing the environment and gathering …

Data in the Internet of Things (IoT) domain may be missing due to connectivity errors,
environmental extremes, sensor malfunctions, and human errors. Despite the many …

Time-series prediction is increasingly popular in a variety of applications, such as smart
factories and smart transportation. Researchers have used various techniques to predict …