MyPage is a personalized page based on your interests.The page is customized to help you to find content that matters you the most.


I'm not curious

How Data And Machine Learning Are Changing The Solar Industry

Published on 28 July 17
730
0
0
To predict what homes are likely to buy solar panels GPUs and big data is being used as a startup.
How Data And Machine Learning Are Changing The Solar Industry - Image 1

Predictive analytics can shave a huge portion off the price tag of solar because it eliminates the cost of finding homeowners who want clean energy. Says the PowerScout company. Feeding data to algorithms is a part of machine learning which is an artificial intelligence technique so that the machine learning-powered algorithms get better at figuring out patterns in the data. Turns out it can be helpful for selling solar panels!

There are many companies such as NEXTracker, kWh Analytics, PowerScout uses tons of data to work on multiple research divisions and projects for example: IBM (IBM, +1.14%), SunPower (SPWR, +0.64%), (GOOG, -1.10%) Project Sunroof. A British startup called Azuri, sells solar panels and batteries that are managed with cell phone tech, is now using machine learning to learn its customers usage patterns and an optimal way to manage the batteries and power sources.


Not only one specific data tool that is rocking the solar industry perhaps there’s a combination of many ways that data can reduce the cost of solar which later will prove crucial to transforming solar into a more mainstream energy source. CEO of PowerScout, Attila Toth, tells Fortune from the conference in Las Vegas that solar is "still being sold door-to-door just like vacuum cleaners in the 1950s." And it is no secret that consumers end up paying more, because of the high costs of the sales process itself, instead of just for the panels.

IBM's "self-learning weather model and renewable forecasting technology" (formerly called Watt-sun) is 50% more accurate than the next best solar forecasting model, says project manager Hendrik Hamann. Whereas, SunPower says it uses this data to improve panel technology, customer service and by the end of the year will be able to monitor and manage more than 1.8 gigawatts of solar panel projects!

For example, if a customer's battery starts to get low, the system will automatically adjust the brightness of the lights and slows the rate of cell phone charging as to make the energy last as long as possible. Other startups are using data to make it easier to finance the cost of installing solar. Many companies like Trademark Vision, Fanuc, Descartes Labs and etc, are using machine learning in a very innovative and astounding manners as forecasting, artificial intelligence (robots), solar panels and etc.

How Data And Machine Learning Are Changing The Solar Industry - Image 2
When it comes to funds; this summer kWh Analytics raised a $5 million round of funding from Anthemis Group and power giant engine. PowerScout’s recent round of funding was a total of $2.5 million in grants via its well-known SunShot Initiative. Government has provided schemes for residential roofing systems which can easily provide electricity to many regions, tools the startup developed solar energy can also help estimate how much energy could be harvested from a home’s rooftop without needing to take measurements in person with a decent degree of accuracy.
It solely depends upon the data and machines to get those low cost solar panels into big solar farms and onto rooftops as expeditiously as possible!
To predict what homes are likely to buy solar panels GPUs and big data is being used as a startup.

How Data And Machine Learning Are Changing The Solar Industry - Image 1

Predictive analytics can shave a huge portion off the price tag of solar because it eliminates the cost of finding homeowners who want clean energy. Says the PowerScout company. Feeding data to algorithms is a part of machine learning which is an artificial intelligence technique so that the machine learning-powered algorithms get better at figuring out patterns in the data. Turns out it can be helpful for selling solar panels!

There are many companies such as NEXTracker, kWh Analytics, PowerScout uses tons of data to work on multiple research divisions and projects for example: IBM (IBM, +1.14%), SunPower (SPWR, +0.64%), (GOOG, -1.10%) Project Sunroof. A British startup called Azuri, sells solar panels and batteries that are managed with cell phone tech, is now using machine learning to learn its customers usage patterns and an optimal way to manage the batteries and power sources.

Not only one specific data tool that is rocking the solar industry perhaps there’s a combination of many ways that data can reduce the cost of solar which later will prove crucial to transforming solar into a more mainstream energy source. CEO of PowerScout, Attila Toth, tells Fortune from the conference in Las Vegas that solar is "still being sold door-to-door just like vacuum cleaners in the 1950s." And it is no secret that consumers end up paying more, because of the high costs of the sales process itself, instead of just for the panels.

IBM's "self-learning weather model and renewable forecasting technology" (formerly called Watt-sun) is 50% more accurate than the next best solar forecasting model, says project manager Hendrik Hamann. Whereas, SunPower says it uses this data to improve panel technology, customer service and by the end of the year will be able to monitor and manage more than 1.8 gigawatts of solar panel projects!

For example, if a customer's battery starts to get low, the system will automatically adjust the brightness of the lights and slows the rate of cell phone charging as to make the energy last as long as possible. Other startups are using data to make it easier to finance the cost of installing solar. Many companies like Trademark Vision, Fanuc, Descartes Labs and etc, are using machine learning in a very innovative and astounding manners as forecasting, artificial intelligence (robots), solar panels and etc.

How Data And Machine Learning Are Changing The Solar Industry - Image 2

When it comes to funds; this summer kWh Analytics raised a $5 million round of funding from Anthemis Group and power giant engine. PowerScout’s recent round of funding was a total of $2.5 million in grants via its well-known SunShot Initiative. Government has provided schemes for residential roofing systems which can easily provide electricity to many regions, tools the startup developed solar energy can also help estimate how much energy could be harvested from a home’s rooftop without needing to take measurements in person with a decent degree of accuracy.

It solely depends upon the data and machines to get those low cost solar panels into big solar farms and onto rooftops as expeditiously as possible!

This blog is listed under Development & Implementations and Data & Information Management Community

Related Posts:
Post a Comment

Please notify me the replies via email.

Important:
  • We hope the conversations that take place on MyTechLogy.com will be constructive and thought-provoking.
  • To ensure the quality of the discussion, our moderators may review/edit the comments for clarity and relevance.
  • Comments that are promotional, mean-spirited, or off-topic may be deleted per the moderators' judgment.
You may also be interested in
 
Awards & Accolades for MyTechLogy
Winner of
REDHERRING
Top 100 Asia
Finalist at SiTF Awards 2014 under the category Best Social & Community Product
Finalist at HR Vendor of the Year 2015 Awards under the category Best Learning Management System
Finalist at HR Vendor of the Year 2015 Awards under the category Best Talent Management Software
Hidden Image Url

Back to Top