Big data are regarded as a tremendous technology for processing huge variety of in short time and with large storage capacity. The user’s access over the internet creates massive internet. require an intelligent feature selection model by addressing varieties data. Traditional techniques only applicable to simple mining. Intelligent needed big machine learning efficient classification. Major al...

In recent years, microservices have been very widely used as a new application development technology in edge computing, IoT, and cloud computing. Application containerization is one of its core technologies, which allows multiple containers to be deployed within the same physical node. Then single node could provide different services user. How rationally deploy on cluster nodes main research ...

Container-based virtualization has gained significant popularity in recent years because of its simplicity deployment and adaptability terms cloud resource provisioning. Containerization technology is the development computing systems that more efficient, reliable, better overall performance than a traditional virtual machine (VM) based technology. Containerized clouds produce by maximizing hos...

A hybrid proportional double derivative and linear quadratic regulator (PD2-LQR) controller is designed for altitude (z) attitude (roll, pitch, yaw) control of a quadrotor vehicle. The derivation mathematical model the formulated based on Newton–Euler approach. An appropriate controller’s parameter must be obtained to obtain superior performance. Therefore, we exploit advantages nature-inspired...

The combined heating and power (CHP) plants are considered one of the promising methods to support goal “Carbon Peak Carbon Neutrality”. It is an important means take heat load optimal dispatch (LOD) further reduce energy consumption CHP plants. To achieve a better scheme, this paper employs potent algorithm by integrating grey wolf optimization (GWO) Levy flight (i.e., Levy–GWO algorithm) over...

The importance of using renewable energy systems (RESs) worldwide has been consolidated. Moreover, connecting more RESs to the utility grid will lead technical problems. Photovoltaic (PV) and wind turbine (WT) based power plants are most nonlinear sources energies contributing mix Electronic ballast switching mode supply in conservation PV WT have caused quality problems less reliable output vo...

In this work, we have developed two new intelligent maximum power point tracking (MPPT) techniques for photovoltaic (PV) solar systems. To optimize the PWM duty cycle driving DC/DC boost converter, used optimization algorithms namely whale algorithm (WOA) and grey wolf (GWO) so can tune PID controller gains. The oscillation around MPP fail accuracy under fast variable isolation are among well-k...

This study introduces an effective population-based optimization algorithm, namely the Golden Search Optimization Algorithm (GSO), for numerical function optimization. The new algorithm has a simple but strategy solving complex problems. GSO starts with random possible solutions called objects, which interact each other based on mathematical model to reach global optimum. To provide fine balanc...

At present, the restructured electricity market has been a prominent research area and attracted attention. The motivation of restructuring in power system is to introduce competition at various levels generate correct economic signal reduce generation cost. As result, it required have an effective price scheme deliver useful information about power. pricing mechanism dependent on demand load l...