Custom Dataset Collected for Energy Manager

Change directory to inside the dataset

Create virtual python environment and install the contents in requirements.txt

Run the commands in sample_commands.txt file to get an idea on how the sample_pvm_to_csv.py script works

Data description:
Light sensor (APDS9960) - Solar irradiance; Power sensor (INA226) - solar panel open circuit voltage (OCV), solar panel closed circuit current (CCC), solar panel closed circuit shunt voltage (CCSV); DHT22 - temperature and humidity data are collected using a custom setup (check the custom_setup.pdf file), placed indoors, next to a curtain less glass window (the plane of the sensing surfaces were almost 45 degree to the window glass. The spectral distortions made by the glass on the solar irradiance observed is unknown - sorry! The sensors used are INA226, Solar panel (1.5W, 137x81x2.5 mm, 16% efficiency, V & I at peak power :5.5V & 270ma), APDS9960 and DHT22.

The custom setup transmits collected data to the server. The server creates a new log file everyday with '.txt' file extension. When the server restarts and begins logging, the first file created has the time information of when the log file was created, suffixed with number '0' before the file extension. This suffix is incremented day by day, until the next interruption to the server, where it create a new log file with the current time and suffix '0', and the whole cycle continues. The log files provided here are raw and unfiltered.

A header with 'UTC' time was transmitted by the custom setup to the server whenever it restarts. It contains column information. The sampling period is 0.2s and only the time stamp for the first data is found in the header. The timestamp for the rest is calculated using the index / serial number and the sample period. The index and the data from each sensor are separated by '#'. If a sensor provides multiple data, then those data are separated by ','.