Solar Panel Data

Published: 7 March 2024| Version 1 | DOI: 10.17632/82jswfyz5p.1
Bhupender Parashar,


A solar photovoltaic (PV) plant (operated by Ultra Vibrant Solar Energy Pvt. Ltd.) was installed on the rooftop of Fitpack Textiles in Jaipur, Rajasthan, situated at coordinates 26.76640°N, 75.8326°E and at location: within the state of Rajasthan, India. The site incorporated two inverters, with Inverter 1 having a capacity of 20 kW and Inverter 2 with a capacity of 100 kW. The collection of data was conducted during the year 2022. The output current and voltage of the panel are measured from 6 AM to 3 PM at every 30 minutes of interval. The daily electrical output collected from INV 1 and INV 2 has been given. For the record there was a technical breakdown in the month of December, and the plant malfunctioned, resulting in negligible data available for many days in December. The study examined the variation in electrical output power of solar PV panels with respect to environmental parameters, solar radiation, atmospheric conditions, and external events such as solar flares and CMP outbursts in 2022. The atmospheric conditions analyzed included air temperature, cloud opacity, DNI, DHI, GHI, relative humidity, and wind speed, obtained with the help of data produced by Solcast API ( PV). Table 1 denotes the monthly Average Radiation Data obtained from Solcast API. Additionally, wind direction (WD) in degrees and barometric pressure (BP) data, as well as pollution parameters, were sourced from Central Pollution Control Board (CPCB) (All India Central Control Room for Air Quality Management center, Adarsh Nagar, Jaipur). The parameters considered were PM2.5 (µg/m³), PM 10 (µg/m³), NOx (ppb), NH3 (µg/m³), SO2 (µg/m³), CO (mg/m³), Ozone (µg/m³), Benzene (µg/m³), MP-Xylene (µg/m³), and O Xylene (µg/m³). Solar flares and Coronal Mass Ejection (CME) data from the year 2022 were acquired from the NASA website NASA Solar Flare Data and NASA CME Data where DONKI is a comprehensive online database of space weather events for the community. Only solar flares categorized as M and X class were specifically targeted to gauge their impact on the solar output of the system. The above data has been arranged in Tabular form in the given excel sheet. The * in the table indicates the days of flares and CME occurrences. The above data can be processed further for preparing the machine learning (ML)-based output power prediction model.



JSS Academy of Technical Education


Machine Learning, Air Pollutant, Panel Data