Titlebook: Intelligent Computing Techniques for Smart Energy Systems; Proceedings of ICTSE Anshuman Tripathi,Amit Soni,Jagrati Sahariya Conference pro

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影響深遠(yuǎn)

Comparative Analysis of 10T SRAM Cell using Nanodevices,94?μW and 0.5001?μW. The CNTFET cell has 42%, 43%, and 41% improved values of HSNM, RSNM, and WSNM, respectively, from the FinFET cell. The FinFET schemes yield substantially lower leakage power compared to CMOS and CNTFET-based cells.

CHART

壯麗的去

Conference proceedings 2022nergy Systems (ICTSES 2021), held at Manipal University, Jaipur, Rajasthan, India. It presents the diligent work of the research community where intelligent computing techniques are applied in allied fields of engineering ranging from engineering materials to electrical engineering to electronics an

推測(cè)

Microgrid Energy Management Strategy for Low Dynamics Load Applications Using Simulink,ithin the individual source limits. Simulation is carried out using MATLAB. Simulation results show that the developed energy management strategy is able to meet the instantaneous load demand in varying irradiance, wind speed, and load conditions keeping the battery state of charge and electrolyzer hydrogen pressure in allowable limits.

MURKY

FRAX-tool

Dynamics Modeling and Motion Simulation of a Segway Robotic Transportation System,anged in state space model format. The SRTP is simulated using the derived state space model using MATLAB. The introduced modeling and simulation processes have shown their ability to produce and plot the motion of the Segway parts with monitoring the effect of the Segway physical parameters such as mass of cart.

平庸的人或物

Conference proceedings 2022s in the possible and real-life applications of computational intelligence. The high-quality content with broad range of the topics is thoroughly peer-reviewed and published on suitable recommendations..

為寵愛(ài)

Fault Analysis and Protection Scheme for DC Microgrid, the steady-state power flow conditions. This is followed by the EMTP to determine selected microgrid behavior during transient conditions and decide on protection schemes. A hardware-in-loop (HIL) environment is developed and discussed to verify the effectiveness of the protection scheme.

教唆

Comparative Analysis of Machine Learning Techniques for Software Effort Estimation,orms the other models with better prediction accuracy, and it reduces the error rate for SVR_SG and GLR_SG by 58.4%, and 48.2% respectively. It can be concluded from the experimental results that the ANN_SG is best performer among the candidate models for SEE statistically.