*.csv; *.mat; *.m

Scenarios 1, 3, and 4 are used for the stealthy attack situation, Scenarios 2, 5, 6, and 7 are used for the target-near-islands-and-reefs situation, and Scenario 8 is used for algorithms comparison.  


These data is state estimation accuracy of the proposed algorithm When the equivalent measurement loss probability is 0.1


These data includes the position estimation accuracy and velocity estimation accuracy of the algorithm.

The data are explained below:

save_bikf_pos_p1, save_kf_pos_p1, save_okf_pos_p1, save_bakf_pos_p1, save_vakf_pos_p1 are the position accuracy of the BKF, KF, OKF, the proposed BAKF-GIWM and the VAKF-GIWM, respectively. 


Accurate conversion loss models are the keys to guaranteeing the more efficient operation of networked hybrid AC/DC microgrids (N-AC/DC-MGs). A two-stage stochastic unit commitment (UC) problem is proposed to improve the operational efficiency of N-AC/DC-MGs under uncertain renewable energy generation output and loads. The nonlinear power losses of AC/DC converters and DC/DC converters under different operating modes are formulated as novel multivariate nonlinear functions of both power and voltage.


This dataset aims to provide more insight into magnetic core losses at high frequency (MHz range) with superimposed DC bias in ferrites. The tested MnZn ferrite has a nominal relative permeability of 1500 (PC50) and 800 (PC200), which was tested at frequency from 500 kHz to 3 MHz. The DC bias appears to create a shift in the Steinmetz parameters, in particular the ki and β are affected the most. Higher DC bias creates higher losses gain and higher operating frequency makes the relative losses increase lower.


This is the data for the paper we prepared titled ''High-performance digital lock-in amplifier module based on open-source FPGA: Implementation and applications''. In this work, a high-performance digital lock-in amplifier module based on an open-source FPGA is constructed. The module is calibrated based on the obtained correction curves of the demodulation results such as amplitude and phase. As demonstrations, the phase difference and thermal noise measurement are carried out by using the module.


The Temperature and Speed Control Lab (TSC-Lab) is an application of feedback control with an ESP32, an LED, two heaters, two temperature sensors, one direct current motor and an optical encoder as a revolution per minute (rpm) meter. The heater power output is adjusted to maintain the desired temperature setpoint. Thermal energy from the heater is transferred by conduction, convection, and radiation to the temperature sensor.