They should just use Previento
Machine learning can boost the value of wind energy
11–20 of 38 posts
Re: Machine learning can boost the value of wind energy
#12I didn't see any comparison to other simpler methods. I'd like to see how well a time series model works.
Re: Machine learning can boost the value of wind energy
#13No paper, no code, no comparison to other models - hell, they didn't even label the graphs. This is just Google PR spam.
Re: Machine learning can boost the value of wind energy
#14Of course it can, but only on the margin as this article suggests. The real potential is in figuring out where to put them, what to put in the spots, and most importantly, who to choose to build them and support them given the aforementioned variables. There may also be some advances to be made in the actual design, but I do not believe machine learning is going to help so much there.
Re: Machine learning can boost the value of wind energy
#15I have been working in the same field, quite a few years in my own forecasting company and then later on as a side project. Not wanting to steal the thunder of Deepmind, but I feel should mention my site which is currently beta as in "works for a few electricity power load and supply forecasting scenarios" and quite well so. Also, it's out there, cheap and fast. https://ausblick.cryptoport.net Unfortunately, it's onl…
What prediction algorithm are you using for this? Not sure if it's mentioned elsewhere on the site
I'd also be interested in hearing a bit more about this.
Re: Machine learning can boost the value of wind energy
#16> 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.
Re: Machine learning can boost the value of wind energy
#17No paper, no code, no comparison to other models - hell, they didn't even label the graphs. This is just Google PR spam.
Well, keep an eye out for it here:
Re: Machine learning can boost the value of wind energy
#18> 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 clo…
>> ... 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.
Re: Machine learning can boost the value of wind energy
#19No paper, no code, no comparison to other models - hell, they didn't even label the graphs. This is just Google PR spam.
Yeah, this is just fluff ignoring prior art. ML and all sorts of other fancy modeling is nothing new for power grids.
Re: Machine learning can boost the value of wind energy
#20If anyone is interested in this type of work, our team at Amperon is hiring data engineers, data scientists, and front end engineers. We’re funded by SV Angel and Notation Capital and we’ve already got traction in ERCOT (Texas).
More info: https://medium.com/@astanway/introducing-amperon-2cded368284...