Dataset for unified photovoltaic-weather multi-station analysis in North Macedonia

This refined dataset integrates photovoltaic system performance with meteorological data to create a robust foundation for energy production forecasting and anomaly detection. By consolidating telemetry from multiple manufacturers and locations, the repository resolves inherent challenges in data quality, timestamp alignment, and inconsistent granularity. Researchers can access three distinct perspectives: a station-level view with 13,193 rows, an inverter-level view containing 88,285 rows, and a granular telemetry set exceeding 1.2 million rows. This multi-layered architecture supports diverse machine learning applications.