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This work proposes the charge optimization strategy for the electric vehicle is in order to utilize the maximum charger available in renewable energy resource and to minimize the utilization of charge available in charger grids. Also while driving the electric vehicle, the decision making algorithm will continuously checks the limit of charger generated by the alternator and the solar cell incorporated in the E-Vehicle and switches over the battery charging to the maximum charger available resource. [ABSTRACT FROM AUTHOR]

The field which encompasses predictive data analysis known as machine learning is quickly developing. Agricultural outcomes have been improved due to its suitability in automation, weather prediction, and share market applications. This article covers the latest on using machine learning to various fields in agriculture. The broad variety of machine learning methods applicable for said predictive modeling within important agricultural It is a great difficulty to be living in a densely populated nation, since one must meet the requirements of everyone. Agriculture ranks ahead of almost everything else when it comes to moving our nation forward. Machine learning makes the system adaptive to various environmental conditions by reducing human involvement. This article talks about the many algorithms for choosing the best for the application. [ABSTRACT FROM AUTHOR]

This project is proposing a single power conversion AC to DC converter. For output control and power factor correction, a novel control technique is implemented in the converter in the proposed converter. A single power converter is provided. The boost converter, which operates in Continuous Conduction Mode, displays non-minimum phase behaviour (CCM). This article proposes a non-linear tuning technique for a digitally current-mode controlled boost converter using a Proportional-Integral (PI) voltage controller. Combining zero current and voltage with the suggested digital pulse with modulation improves system performance. Zero current and voltage switching create soft witching. This reduces switching losses and improves the efficiency of the system. This boost converter was modelled in MATLAB. Output is generated when the power factor is at its highest. [ABSTRACT FROM AUTHOR]

Pressure monitoring and maintenance is a very significant parameter in all the process industries. Pressure control is essential for air conditioning, chemical reaction, boiling, extrusion, vacuuming, and distillation. At the same time, the worse pressure management will lead to critical safety problems, whereas extreme pressure inside a closed container will result in a dangerous explosion. Therefore, even in the presence of disturbance and the change of fixed point, it is very important to sustain the pressure at the desired range. To maintain the pressure the PID controller is used. Regular monitoring of pressure is important. The human shouldn't monitor the pressure in the station all the time. So the IoT is implemented in the process station to control and measure the pressure from anywhere and all the time. The Thingspeak platform is used for this internet data acquisition and control. The advantage of using Thingspeak is that the data can be communicated throughout the world without any distance limits like RS-232, WIFI, Bluetooth, etc. The result of Thingspeak is verified with the MATLAB Simulink result. Then the designed controller is evaluated using the performance metrics like Integral Square Error and Integral Absolute Error. [ABSTRACT FROM AUTHOR]

Wind energy conversions are growing rapidly as a renewable energy source. A new method of interconnected wind power production that utilizes a doubly fed induction generator coupled to a quality Analyst matrix converter is described in this study. The aims of this project include Doubly-fed induction generator modeling and simulation The rotor current is controlled via a space vector modulated matrix converter. This strategy is aimed directly at the converter-based rotor current regulation. The system enhances the ideal speed tracking for wind energy collection to maximize energy extraction, while also implementing power-control strategies that apply to the RST regulator. The findings obtained for different operating points are evaluated, and they indicate the excellent control capabilities of the system. [ABSTRACT FROM AUTHOR]