MLOps at the Edge: Predicting Solar Radiation in Photovoltaic Plants

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MLOps at the Edge: Predicting Solar Radiation in Photovoltaic Plants

We walk you through:

.- Why solar radiation forecasting matters

.- How the neural network model is built and trained

.- The edge stack components: from OPC-UA to Grafana

.- Real-time insights, alerts, and cloud integration

.- The scalable architecture that supports TensorFlow, PyTorch, Azure, AWS, and more

Whether you're in energy, AI, or edge computing—this is a powerful example of Edge l MLOps in action.

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This project has also received funding from the European Union's Horizon 2020 research and innovation program under grant No. 827313, as well as from the CDTI (Centro de Desarrollo Tecnológico Industrial de España), the Hazitek program of the Government of the Basque Country and the Ports 4.0 Fund of Puertos del Estado. Barbara has participated in the ICEX-Next export initiation program and has received support from ICEX and co-financing from European ERDF funds. The purpose of this support is to contribute to the international development of the company and its environment.