> Our hope is that this kind of machine learning approach can strengthen the business case for wind power and drive further adoption of carbon-free energy on electric grids worldwide. Researchers and practitioners across the energy industry are developing novel ideas for how society can make the most of variable power sources like solar and wind. We’re eager to join them in exploring general availability of these cloud-based machine learning strategies.
Would be nice to know a bit more detail? Which power grids was this approach tested on? How does this approach work exactly? Are we talking about DNN on time series? The graphs also really need labels to inform.
>> ... join them in exploring general availability of these cloud-based machine learning strategies.
... is probably the operative part. Possibly uncharitable, but this appears to be ‘thought leadership’ marketing generally supporting the idea of GCP managed services.
Would be nice to know a bit more detail? Which power grids was this approach tested on? How does this approach work exactly? Are we talking about DNN on time series? The graphs also really need labels to inform.