Awesense

We’re so excited to host another M2PI challenge with Pacific Institute for the Mathematical Sciences 🚀 Now on its third annual engagement, Awesense works with PIMS graduate students and advisors to help them solve complex energy-related problems using the Awesense Energy Transition Platform. This year’s challenge will have students devising algorithms for optimizing phase balance by moving load between phases. We love this event as it gets students working on real-world energy problems. And, because the Awesense Energy Transition Platform is really easy to use, students do not need a background in energy or intensive coding experience to excel in the challenge. #DataScience #GridTech #Awesense

We have been honored by a visit from John Horgan, former Premier of British Columbia and current Canadian Ambassador to Germany! We discussed how Awesense is empowering utilities like BC Hydro and FortisBC to leverage data for smarter decision-making. #data #utilities #awesense #canada #germany #cleantech #utilityanalytics #energytransition #hannovermesse2024 #hm24

Awesense had a successful day one at Hannover Messe 2024, the world's leading industrial technology trade fair. We're honored to be part of the Canadian delegation showcasing innovative solutions for the energy transition. 📍 Stop by Hall 13, Stand B04, TC-02.📍 #hannovermesse2024 #awesense #energytransitionplatform #griddataanalytics #utilityanalytics #dataanalytics #Energievende #canada

Transformer load is the power drawn by electrical loads connected to a #transformer. Grid operators must avoid overloading transformers to prevent damage, outages, and reduced lifespan. As the distribution grid sees more connection requests (businesses, homes, #evchargers, #heatpumps, etc.), maintaining #reliableservice without overburdening transformers requires effective capacity management and load assessment for new connections.   Traditional methods for estimating transformer #load, such as using approximate load or reserved capacity, often lack precision and don't include real measured data. Typically, transformers lack direct measurement, with only individual meters beyond the transformer being monitored. Therefore, aggregating downstream transformer load is essential to model and manage transformer loading accurately, especially for new #connections, enabling #gridoperators to make informed decisions. Talk to us if you want to know more about this use case or to discover tenths of other use cases that can be delivered with the Awesense Platform. Use case link: https://lnkd.in/gTb2YtHv #awesenseusecase #awesenseusecases #awesenseplatfrom #gridconnections #gridloading

⚡ We are thrilled to announce that Awesense will be participating in the prestigious Hannover Messe from April 22nd to 26th, 2024, in Germany. 🔌 This event is a global beacon for industrial technology and innovation, especially significant in today’s context of energy transition. It’s a fantastic opportunity to see our Energy Transition Platform in action and network with industry leaders. To connect with us: 📍 Find us in Hall 13, Stand B04, TC-02 📍 🔎 Visit our trade show profile here: https://lnkd.in/gXVM8YVb 🔎 🗓 Schedule a meeting with us here: https://lnkd.in/gCU_JH4r 🗓 See you at Hannover Messe! #awesense #energytransition #utilitydatanalytics #energydataanalytics #sustainableenergy #hannovermesse #innovation

Struggling to use Jupyter Notebooks on your work computer due to IT restrictions? We feel your pain! Our latest Learn to Build Better blog post explores the exciting world of web-based data science notebooks! These notebooks allow you to run code directly in your browser, bypassing the need for local installations. This is a game-changer for those facing corporate restrictions, especially when working with .ipynb notebooks from Awesense GitHub. In the post, we compare three popular options: Google Colab, Amazon SageMaker, and Kaggle Notebooks. We delve into the pros and cons of using each tool to work with Awesense notebooks. Read the full article: https://lnkd.in/g3BFd9Ui #awesense #datascience #energytransitionplatform #energyanalytics #utilitydataanalytics

Wrapping up Distributech 2024, Awesense had an incredibly productive time supporting our partners and engaging in transformative discussions about the future of #energy. The enthusiasm for our energy #dataplatform, #digitaltwin technology, and AI Data Engine was overwhelming. These conversations will advance impactful collaborations aimed at decarbonizing and enhancing energy efficiency. We're excited to turn these insights into action, driving forward a sustainable #energytransition. Here's to an innovative future together! #dtech2024 #utilitydataanalytics #energydata #dataanalytics #adms

Introducing SQL AweSensei: Your Awesense EDM Programming Copilot! Tired of digging through documentation and tutorials to learn our SQL APIs? Meet SQL AweSensei, your new AI-powered assistant built on OpenAI's GPT technology! Here's what it can do: - Summarize our SQL APIs: Get a quick overview of what's available and how it works. - Explain specific views and functions: Unsure about a particular aspect? Just ask! - Generate SQL code directly: Need help writing a query? SQL AweSensei can suggest code tailored to your needs. Are you ready to try it out? Contact us at api@awesense.com and let SQL AweSensei become your guide to Awesense Energy Data Model (EDM) SQL API mastery! P.S. Share your experiences with us! Did SQL AweSensei save you time? Did it suggest helpful code? We're eager to hear your thoughts! #ai #machinelearning #sql #developertools #openai #gpt #programming #database #awesense #energyanalytics #utilitydataanalytics

Big news from Awesense! We're thrilled to announce the official launch of our self-serve system for documentation and key management for the Awesense Energy Data Model (EDM) REST API! This innovative API is a game-changer for modernizing energy systems. It offers: 1. Seamless integration: Easily connect your preferred tool and build energy solutions using the intuitive REST design. 2. Enhanced accessibility: Tap into the power of the EDM with greater ease for developers and system integrators. 3. Grid intelligence advancements: Our commitment to cutting-edge technology helps facilitate the energy transition. Want to revolutionize the energy sector with us? Stay tuned for more updates on how Awesense EDM REST API is making waves! #awesense #energydata #restapi #energytransition #gridintelligence #utilitydataanalytics #energydata #energyandutilities

In electricity distribution grids designed as 3-phase systems, an imbalance in load distribution across phases can lead to various issues. The conventional solution involved expensive upgrades to accommodate imbalances. However, leveraging data analytics presents a more cost-effective approach. Identifying overloaded or underloaded phases allows for strategic load shifting, optimizing the grid without the need for costly infrastructure upgrades. This not only prevents imbalances affecting the maximum carrying capacity of lines but also minimizes losses through the neutral conductor, positively impacting the economics and billing of grid operations. Unlock the potential of efficient grid management with a data-driven Phase Balance Analysis use case. By understanding and addressing load distribution disparities, utilities can enhance grid performance, reduce investment costs, and ensure a balanced, resilient power distribution system. Explore the potential of optimizing phase load balance with this Awesense Platform use case. Interested in learning more about this use case or how easily you can build your own use case on the Energy Transition Platform? Click below for either: https://lnkd.in/gF5cBYKC #awesenseusecase #awesenseusecases #energyusecase #dataanalytics #energytransition  #infrastructure #electricity #awesense #energyanalytics #utilityanalytics