Join us on November 27th for the next TC Energy Ingenuity Speaker Series with Danielle Gifford, MBA’20, UCalgary Alum, Director of AI & Cloud at PwC. She will be discussing AI, data centers, and the future of energy. This keynote will delve into the underlying technology that drives AI and the essential role data centers play in this process. We will examine how these advancements contribute to higher energy consumption and explore some of the innovative solutions being developed to address these energy challenges. Open to University of Calgary students, faculty, and alumni interested in entrepreneurial thinking and innovation. The first 50 attendees to check in will receive an exclusive gift bag, courtesy of TC Energy! Learn more and register to secure your spot today: https://bit.ly/4ffS48n.
Hunter Hub for Entrepreneurial Thinking - UCalgary’s Post
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Discover how education and innovation are transforming the utility space! In the latest episode of the Grid Mod Pod, Lee Krevat, Founder & CEO of Krevat Energy Innovations, shares insights on the critical role of grid modernization, smart technology, data, and AI. Learn how these advancements are making traditional work smarter and more efficient. Watch the clip and dive into the full episode for an in-depth discussion here: https://buff.ly/4c4xA0d
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If you're a complete geek ( I'm not a scientist or engineer) about how much more efficient our electric grid can and must become, you should get hooked on this podcast!
Discover how education and innovation are transforming the utility space! In the latest episode of the Grid Mod Pod, Lee Krevat, Founder & CEO of Krevat Energy Innovations, shares insights on the critical role of grid modernization, smart technology, data, and AI. Learn how these advancements are making traditional work smarter and more efficient. Watch the clip and dive into the full episode for an in-depth discussion here: https://buff.ly/4c4xA0d
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Research Associate at Imperial College London | Data science for the net-zero transition
🎯 How can AI catalyze the transition to low-emission energy systems? 🛫 How can AI become a co-pilot in the control room of the future through automated decision-making? Last month, we organized a week-long workshop, hosted by the International Centre for Mathematical Sciences (ICMS), to scope the potential of AI to address some of the key research questions identified by the Global Power System Transformation Consortium related to operating and planning for low-emission energy systems. This workshop brought together system operators from seven countries, university researchers, national laboratories, and industry stakeholders, and outlined four key areas where AI can become a catalyst. For more details: https://lnkd.in/erfx2ZB9
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🌿Are you excited for the first webinar in the Valuation Review Compliance Series 2024? Dive into the world of green appraisals with industry specialists on Wednesday, March 27th @ 3:00 p.m. ET. Learn about AI's Energy Efficient addendum, regulatory insights, comp identification, and more🏡💚 https://bit.ly/49Q8dPe
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Today we launched our MVP! 🚀 (Energy sector data scientists, this ones for you) We built Weave to improve access to energy data and accelerate the adoption of AI across the sector. ⚡️ We have big ambitions, but to start with, we focussed on improving access to high resolution smart meter data to supercharge energy forecasting models. 📈 With just a few lines of code, you can get half hourly data for 2 million smart meters into a Pandas DataFrame in 90 seconds. 🤯 Try it for yourself 👉🏼 https://weave.energy/
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From Edge Computing to AI Sleeper Play? In October 2022, I used Adam’s Inexperienced Zone Energy Rankings system to discover a promising inventory within the rising subject of... See more https://lnkd.in/g9wCgrdT
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We invite you to the track titled "AI for Energy Utilities" in AMLD - Applied Machine Learning Days EPFL @ 14:00 on Tuesday, March 26th, co-organized by Dr. Braulio Barahona (HSLU - Digital Energy and Electric Power (DEEP) and Dr. Adamantios Marinakis (Research Center for Energy Networks (FEN), ETH Zürich as part of the AISOP Project, funded through ERA-Net Smart Energy Systems. The program is as follows: 14:00 - 14:05 Introduction to AI for Energy Utilities, Braulio Barahona 14:05 - 14:20 Where AI could help to keep operating the transmission grid in a safe and efficient way, Matthias Bucher, Swissgrid AG 14:20 - 14:35 AI for energy trading, Stefanos Delikaraoglou, Axpo Group 14:35 - 14:50 Data-driven generation of synthetic load curves for grid planning, Arthur Cherubini, Romande Energie 14:50 - 15:05 Enhancing LLM performance with Retrieval-Augmented-Generation, Max Zurkinden, SwissLLM 15:05 - 15:25 Panel discussion, moderated by Adamantios Marinakis Explore the full program: https://lnkd.in/gpBzKwei Swiss Federal Office of Energy SFOE Michael R. Moser Matthias Galus #digitalization #energyperspectives #strom #netze #grids #machinelearning #utilities #EVU #solar #operationalplanning #artificialintelligence #AI #datascience #energiewende #digitalisierung
AI for Energy Utilities Track at Applied Machine Learning Days We are happy to announce a dedicated track on AI for Energy Utilities happening on Tuesday, March 26th at AMLD - Applied Machine Learning Days ! Explore the full program: https://lnkd.in/efsFr7G8 The track will host speakers from Swissgrid AG, Axpo Group, Romande Energie and SwissLLM. It includes a poster session with posters from École polytechnique fédérale de Lausanne, Research Center for Energy Networks (FEN), ETH Zürich, University of Cambridge, CSEM, HSLU - Digital Energy and Electric Power (DEEP), Hitachi Energy, Hitachi Zosen Inova, geoimpact AG. We look forward to meeting you there! Braulio Barahona Adamantios Marinakis Cansin Yaman Evrenosoglu Antonis Papaemmanouil Turhan Demiray Daniel Raimundo Peter Allenspach
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We invite you to the track titled "AI for Energy Utilities" in AMLD - Applied Machine Learning Days EPFL @ 14:00 on Tuesday, March 26th, co-organized by Dr. Braulio Barahona (HSLU - Digital Energy and Electric Power (DEEP) and Dr. Adamantios Marinakis (Research Center for Energy Networks (FEN), ETH Zürich as part of the AISOP Project, funded through ERA-Net Smart Energy Systems. The program is as follows: 14:00 - 14:05 Introduction to AI for Energy Utilities, Braulio Barahona 14:05 - 14:20 Where AI could help to keep operating the transmission grid in a safe and efficient way, Matthias Bucher, Swissgrid AG 14:20 - 14:35 AI for energy trading, Stefanos Delikaraoglou, Axpo Group 14:35 - 14:50 Data-driven generation of synthetic load curves for grid planning, Arthur Cherubini, Romande Energie 14:50 - 15:05 Enhancing LLM performance with Retrieval-Augmented-Generation, Max Zurkinden, SwissLLM 15:05 - 15:25 Panel discussion, moderated by Adamantios Marinakis Location: Garden 4B Explore the full program: https://lnkd.in/gpBzKwei Swiss Federal Office of Energy SFOE Michael R. Moser Matthias Galus #digitalization #energyperspectives #strom #netze #grids #machinelearning #utilities #EVU #solar #operationalplanning #artificialintelligence #AI #datascience #energiewende #digitalisierung
AI for Energy Utilities Track at Applied Machine Learning Days We are happy to announce a dedicated track on AI for Energy Utilities happening on Tuesday, March 26th at AMLD - Applied Machine Learning Days ! Explore the full program: https://lnkd.in/efsFr7G8 The track will host speakers from Swissgrid AG, Axpo Group, Romande Energie and SwissLLM. It includes a poster session with posters from École polytechnique fédérale de Lausanne, Research Center for Energy Networks (FEN), ETH Zürich, University of Cambridge, CSEM, HSLU - Digital Energy and Electric Power (DEEP), Hitachi Energy, Hitachi Zosen Inova, geoimpact AG. We look forward to meeting you there! Braulio Barahona Adamantios Marinakis Cansin Yaman Evrenosoglu Antonis Papaemmanouil Turhan Demiray Daniel Raimundo Peter Allenspach
AMLD 2024
2024.appliedmldays.org
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The future of Artificial Intelligence is exciting, but what will power the data centers responsible for all the real-time computing required? The American Gas Association's recent blog post explores just that, detailing how natural gas is part of the answer to what will fuel the AI boom while offering a fascinating review of AI’s massive potential. 💻🧠 Check out the full article 📝 bit.ly/3ylSDg1.
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AMLD - Applied Machine Learning Days EPFL "AI for Energy Utilities" track co-organized by HSLU - Digital Energy and Electric Power (DEEP) and Research Center for Energy Networks (FEN), ETH Zürich as part of the AISOP Project, funded by ERA-Net Smart Energy Systems. #digitalization #energyperspectives #strom #netze #grids #machinelearning #utilities #EVU #solar #operationalplanning #artificialintelligence #AI #datascience #energiewende #digitalisierung
AI for Energy Utilities Track at Applied Machine Learning Days We are happy to announce a dedicated track on AI for Energy Utilities happening on Tuesday, March 26th at AMLD - Applied Machine Learning Days ! Explore the full program: https://lnkd.in/efsFr7G8 The track will host speakers from Swissgrid AG, Axpo Group, Romande Energie and SwissLLM. It includes a poster session with posters from École polytechnique fédérale de Lausanne, Research Center for Energy Networks (FEN), ETH Zürich, University of Cambridge, CSEM, HSLU - Digital Energy and Electric Power (DEEP), Hitachi Energy, Hitachi Zosen Inova, geoimpact AG. We look forward to meeting you there! Braulio Barahona Adamantios Marinakis Cansin Yaman Evrenosoglu Antonis Papaemmanouil Turhan Demiray Daniel Raimundo Peter Allenspach
AMLD 2024
2024.appliedmldays.org
