A high-resolution three-year dataset supporting rooftop photovoltaics (PV) generation analytics

This dataset includes measured photovoltaic (PV) power generation data and
on-site weather data collected from 60 grid-connected rooftop PV stations
in Hong Kong over a three-year period (2021-2023). The PV power generation
data was collected at 5-minute intervals. The meteorological data was
collected at 1-minute intervals from an on-site weather station. The
metadata was represented using Brick schema was developed, which
simplifies the data comprehension and the development of smart analytics
applications. The detailed Brick model is stored in the .ttl file format,
which can be accessed for retrieving metadata through the use of SPARQL
queries.This dataset can be used in various applications - PV generation
benchmarking, PV degradation analysis, PV fault detection, solar radiation
and PV power generation forecasting, and the simulation and design of PV
systems.