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A Solar Cadastre tool that maps and assesses solar energy potential across building rooftops within the MODERATE platform. It combines geospatial analysis with solar irradiance data to support urban energy planning and renewable energy deployment decisions.
An anomaly detection tool applying the Matrix Profile algorithm to identify contextual anomalies in building energy time-series data. Developed by the BAEDA lab at Politecnico di Torino and integrated into the MODERATE platform for automated detection of unusual consumption patterns.
A tool for assessing optimal locations for Local Energy Communities (LECs) within the MODERATE platform. It evaluates geographic, infrastructural, and energy-related criteria to identify suitable sites for community-based energy initiatives.
A quality assessment and reporting tool developed as part of Work Package 3 of the MODERATE project. It generates comprehensive data quality reports, enabling users to evaluate and monitor the integrity of datasets processed through the platform's validation pipelines.