
MORE provides a platform to manage real-time energy data for renewable energy stakeholders. It combines edge and cloud computing to handle vast sensor streams and time series. The system employs AI and machine learning for forecasting, diagnostics, and efficiency improvements, with models that summarize data. Key technologies include ModelarDB for extreme-scale time series, a soiling-detection toolkit for PV parks, and a self-service visualization layer, along with Apache Spark and Cassandra. The project aims to scale time-series management and improve accuracy beyond current approaches.

MORE provides a platform to manage real-time energy data for renewable energy stakeholders. It combines edge and cloud computing to handle vast sensor streams and time series. The system employs AI and machine learning for forecasting, diagnostics, and efficiency improvements, with models that summarize data. Key technologies include ModelarDB for extreme-scale time series, a soiling-detection toolkit for PV parks, and a self-service visualization layer, along with Apache Spark and Cassandra. The project aims to scale time-series management and improve accuracy beyond current approaches.