With increasing environmental awareness and energy requirement, sustainable
manufacturing has attracted growing attention. Meanwhile, there is a high level of …

Accurate prediction of photovoltaic (PV) power for an ultra-short term can improve the usage
of grid-connected PV power. In this study, data preprocessing based on an ultra-short-term …

Cloud computing is the computing technology that offers dynamically scalable and flexible
computing resources. Task scheduling in the cloud system is the major problem that needs …

In recent years, cloud computing technology has attracted extensive attention from both
academia and industry. The popularity of cloud computing was originated from its ability to …

In cloud computing, task scheduling plays a major role and the efficient schedule of tasks
can increase the cloud system efficiency. To successfully meet the dynamic requirements of …

The short-term photovoltaic (PV) power prediction is mainly used to prevent photovoltaic
power generation fluctuations, grid overvoltage, reverse current, and islanding effects. At the …

The rapid growth of networking technologies resulted in the execution of an extensive data-
centric task, which needs the critical quality of service by cloud data centers. The task …

With the rapid advancements in processing and storage technology along with the
popularity of the internet, computing capabilities have become more affordable, efficient, and …

In intelligent unmanned warehouse goods-to-man systems, the allocation of tasks has an
important influence on the efficiency because of the dynamic performance of AGV robots …

This paper addresses the problem of minimizing the makespan on unrelated parallel
machines with sequence-dependent setup times. The term unrelated machines is used in …