This is indeed a problem that is old - I know it since 25 years ... - and it does not only hit AI development, it has made life difficult for any developer of intelligent solutions for the energy sector - also those that work with traditional intelligence (meaning physics...) 🤔 ! Time has run out ⌛ to keep on talking - we need to hit the start button to change the situation instead - NOW! Technology is no longer a hindrance, it's policy and mindset that are the barriers today! Let's work together as a community and let our collaboration be driven by the hunger for data, investigate what the "open minded" do in e.g. in Australia, where all energy data is accessible down to wind farm of solar park level, and COLLABORATE instead of compete on data! In the #IEAWind #Task51, we have startet collaboration with the #IEC and #WMO to built a standard for forecasting -> which in large is a standard for "data handling" for forecasting! Forecasts can only be developed, improved and made intelligent by using trustworthy and valid observational data -- from meteorological data to power output of renewables, as well as demand, we all sit in the same boat! We can learn a lot from the meteorological community and how the GTS network works, but without an international umbrella such as the #IEA, we just continue to all brew our own little soup.... So, I also want to invite "anybody-with-this-problem" or "anybody-sitting-with-data-that-could-be-shared-but-is-not" to get in touch with us here on LinkedIN 👉 https://lnkd.in/d2-A7Wbb , or via our home page 👉 https://lnkd.in/eFqJkiXF and 👉 meet us at one of our next events, and get involved in our workstream "Data Science and AI" (https://lnkd.in/dB3eC7At) ... we will also have a webinar series end of the year 👉 get in touch with us to open a broad discussion on data accessibility in the energy sector. Together we will be 💪 enough to move this topic forward!
Check out the full article here 👉🏼 https://lnkd.in/dGiD88YM
