Centre for AI & Climate

Week 13 - Building data pipelines 🛠️

Weave might just be the largest single dataset of high-resolution smart meter data ever assembled... 👀 The good news is we're already working on making it even bigger! 🤯 We're excited to see how this dataset will unlock new insights by providing a much more granular view into how energy is used. 💡 How do daily peak loads vary across the UK? ⚡️ How do extreme weather events impact energy consumption? 🥶 How does EV adoption vary by area? 🚗 (you should be able to to identify EV home charging in overnight loads!) What have we missed? Check it out for yourself 👉🏼 https://weave.energy

Week 12 - Product launch day! 🚀 This week's article is a special edition. Check it out to find out about our first product release and how you can try it for yourself!

New product launch! 🎉 Introducing Weave, get energy data with a few lines of code. We developed Weave to improve access to energy data and accelerate the adoption of AI within the sector. 🤖 As of today, data scientists can get high resolution smart meter data into a Pandas DataFrame in 90 seconds. 🤯 Try it for yourself 👉🏼 https://weave.energy/

Week 11 - Preparing for launch 🚀 Check out this week's edition of our weeknotes to find out: - When we're releasing our prototype and what it will look like 🤖 - What dataset we're focussing on first and why we think it's a game changer 🚀 - The technical approach we're using to take processing time from multiple weeks to a matter of seconds 🤯 - How you can get access to our Jupyter notebook to try it for yourself ahead of the full launch 👀

Week 10 - The Feedback Challenge 📢 In this week's edition we talk about: How much feedback can you realistically expect to get before launching your product. 🚀 The challenge of refining the scope for our prototype so we can build and test it with users quickly. 🛠️ Why the technical complexity of serving large datasets to users makes descoping particularly difficult! 🤯

New blog post! 📢 This month we look at the 5 types of energy data we need to accelerate the adoption of AI! ⚡️🤖

Week 9 - Building a prototype! 🚀 Check out this weeks edition of our weeknotes to learn how we're building our energy-system API prototype and when it's going to be released! 👀

Check out this week's weeknotes for a sneak peak at our recent prototyping work and a chance to feed back on where we're headed...

Week 7 at the Centre for AI & Climate 🎉 Check out this week's weeknotes to learn: 1️⃣ - Why we are focussing on 'demand to be met' instead of 'problems to be solved'. 2️⃣ - The key reason data scientists can't come up with use cases to apply AI to energy system challenges, and why we shouldn't expect them to. 3️⃣ - Our thoughts on the best way to unlock demand for energy data and accelerate the implementation of AI based solutions.