Monitoring photovoltaic plants with Machine Learning



The client's objective was to develop a scalable monitoring platform for a large number of photovoltaic power plants. This platform would help them minimize the time that PV plants operate below target performance and detect potential anomalies earlier.


In response to their request, B12 Consulting developed a big data infrastructure and web platform that alerts their maintenance team when anomalies are detected. Machine Learning algorithms also provide real-time energy production forecasts and anomaly reports to Perpetum.


Python, NumPy, scikit-learn, Scala, Angular, SQL

The project in collaboration with this client is an ever growing one, full with new innovating ideas to ameliorate the green production of solar energy!