While IoT and M2M technologies are commonly used to monitor the uptime and performance of renewable devices such as solar panels and wind farm, the data generated can now be more effectively used – through cloud big data.
The data generated on power levels generate at each site can effectively be used for planning and scaling of renewable energy sources as they creep up on existing non-renewable power generation methods, filling a never-ending need for more electricity. Once this data is uploaded to the Cloud machine learning techniques can be used to predict and plan for future usage and large-scale deployments.
On the smaller side, machine learning and big data can be used to optimisedecentralised, locally generate renewable energy, such as houses collecting energy through solar panels and selling extra electricity back into the grid. Clusters and groups can be remotely monitored to ensure maximum efficiency and uptime.
We have a selection of wireless IoT devices that are currently used in the renewables industry, as well as our IoT Airtime service, Adaptive M2M, which also includes online monitoring portals and the ability to send your data to your preferred Cloud platform.
For more information email us at firstname.lastname@example.org or call on 0044 (0) 1273 248977
This product is not recommended for new designs. Please see the IR611-S 4G Cat. 1 router Integrating 3G connectivity and advanced security, the InRouter611-S series is the next generation of InRouter cellular routers. With embedded hardware watchdog, link detection, auto-recovery, Wi-Fi and auto-reboot, the InRouter611-S series provides reliable...
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