This paper discusses the performance and efficiency analysis of selected private sector banks in the light of tough competition and technology up gradation. Right from the establishment of Royal Chartered bank, Indian banking sector has seen a magnanimous growth especially after independence. The nationalization of banks in 1969 and 1980 had added fuel to the growth. The New Economic policy, 1991 has totally changed the facets of the banking sector. The doors are open to the private and foreign banks to India and the services are scattered and spread to various areas like wealth management, insurance, mutual funds, forex trading, financial services etc apart from the primary objective of accepting deposits and lending loans. This research paper focuses on evaluation of the performance and efficiency analysis of selected private sector banks with respect to some of the key indicators such as Total deposits, Total advances, Total Assets, Net Profit & Non-Performing Assets of last 10 years. The absolute figures and the average annual growth rates (AAGR) were calculated for each indicator over a period of 10 years and accordingly the rankings were assigned based on performance and efficiency analysis. Key area findings of the research were found and so incorporated in the study. The research found that has been performing well among the given three banks when compared with other two banks.

In this manuscript proposes a hybrid approach for locating and sizing Electric vehicle charging stations (EVCSs) optimally and managing the vehicle charging process. The proposed hybrid approach is to work in conjunction with Mexican Axolotl optimization (MAO) and Wild Horse Optimizer (WHO) hence it is named as MAOWHO approach. The major purposes of the proposed approach are to site and size of the electric vehicle parking lot (EVPL) and to improve the benefit of EVPL for the participation of the reserve market. In addition, power loss and voltage fluctuations occur due to the stochastic nature of renewable energy sources (RES) and electric vehicles (EV) demand load, which is reduced by the proposed approach. To optimally determine the size of the parking lot, the MAOWHO approach is adopted. The integration of the EV and PV systems, especially in parking lots, enhances the reliability and flexibility of the electrical system at critical moments. Multiple objective optimization problems are calculated to achieve objective variables to reduce power losses, voltage fluctuations, charging and supply costs, and EV costs. The location and capacity of the RES and EV charging stations in this optimization problem are objective variables. The MAOWHO approach enhances Solar Powered Electric Vehicle Parking Lot (EVSPL) participation in various energy and ancillary service markets that includes the effects of capacity payments. Besides, the implementation of MAOWHO approach is done by the MATLAB/Simulink platform and the performance of the MAOWHO approach is compared to the existing approaches. From the simulation outcome, it concludes that the proposed approach based performance provides a profit of 880 € compared to other approaches like SMO, CGO, SBLA.

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In this manuscript, a hybrid system depending on the optimal location of electric vehicle parking lots (PL) and capacitors under voltage profile care and power loss is proposed. The proposed hybrid scheme is the joint execution of both the atomic orbital search (AOS) and arithmetic optimization algorithm (AOA). Commonly it is called the A OSAOA technique. In the paper, the allocation of the parking lot and capacitor is introduced to congestion management with reactive power compensation. To optimally regulate that parking lot size, the AOSAOA technique is adopted. Furthermore, parking lot and capacitor allocation are introduced to congestion management and reactive power compensation. With this proper control, the perfect sitting of capacitor and EV parking lots under the grid, including the deterioration of real and reactive power loss and voltage profiles are optimally chosen. Furthermore, the implementation of the proposed AOSAOA model is developed by the MATLAB/Simulink platform, and the efficiency of the proposed model is likened to other techniques.

In recent years, the application of nanoadditives in biofuels is gaining much attention due to their increase in thermophysical properties such as high surface area, thermal conductivity, and mass diffusivity. However, lack of stability, high additive cost, and difficult recovery from engine exhaust are the high-priority and demanding characteristics, which may be chosen by many researchers. In this regard, the most promising nanoadditives are magnetite nanoparticles, having a high-specific area, strong magnetic response, control over the particle size and, most importantly, easy and rapid separation from exhaust gas by applying external magnetic bars. Moreover, it can be easily diluted into biodiesel, and thus, it can collect the advantages of biodiesel in water emulsion. From the literature survey, it is found that there is a lacuna in the synthesis and performance of magnetite nanofuels for internal combustion engine applications. Thus, the present study aims to epitomize the research findings related to the synthesis, characterization, stability, and properties of biodiesel/diesel-based fuels blended with magnetite nanoparticles and the influence of the magnetite nanofuels on engine performance. The study shows that the addition of nanoparticles to biodiesel has positive effects in reducing harmful emissions such as carbon black, smoke opacity and NOX, with improved thermal efficiency and fuel consumption.