Speakers:
Machine Learning for Sustainability at Edison: Renewable Energy Forecasting
Date:
Wednesday, November 15, 2023
Time:
2:00 pm
Room:
Bernstein
Summary:
Renewable energy dependence on fluctuating weather conditions may prevent a fast energy transition. Since 2013, Edison have developed custom algorithms for wind and solar forecasting, moving from proprietary tools to open-source libraries, from on-premises architecture to MLOps cloud infrastructure. This case study is aimed at data scientists and MLOps engineers willing to deal with a huge number of models. You will learn how ML/AI can boost renewable energy penetration in the market.
Speakers:
AI-based Remote Operator Support for the Draugen Offshore Oil Platform
Date:
Wednesday, November 15, 2023
Time:
2:30 pm
Summary:
Despite the high degree of automation in industrial control systems, human operators continue to play a critical role in ensuring uptime, quality, and safety. Arzam presents five different ways in which AI technologies can be applied and used together in a workflow to support operators in preventing and resolving issues with ease, speed, and confidence. This showcases how AI is paving the way for remote and autonomous operations that mitigate against human-induced error, protecting lives and assets.