An efficient artificial scenerio generator for EV load simulation modeling has been developed acquiring probabilistic method for characterizing the stochastic nature of EVs and generate the schedule of EVs charging to ultimately achieve the EV load profile for impact study of EVs on distribution network. Model has been tested under different settings and by generating different scenarios to make it  viable, realistic and adaptable to any defined characteristics.

A 24-hour of 60 seconds solar PV and load data. 

These datasets collect sensorial information about collaborative robot functioning. We recorded information from two different kinds of robots UR3e and UR10e. This dataset is used for data-driving modeling of the power consumption of cobots. The datasets have the following information: recording time, trajectory ID, joints' positions, joints' velocities, motor currents, motor torques, motor voltages, end effector position, force and momentum exerted to the end effector, current and voltage of the robot.

Interleaving three-phase voltage source converters (VSCs) is a popular solution for medium- and high-power applications. In addition to the circulating current, the impact of PWM strategies on the DC-link current ripple is an important issue for practical DC-link capacitor designs, which could affect system reliability and lifetime. Existing studies have been reported to evaluate the impact of conventional pulse width modulation (PWM) strategies such as space vector modulation (SVM), sinusoidal PWM (SPWM), and discontinuous PWM (DPWM).