RWE, a leading name in renewable energy, is collaborating with HPE to enhance its efficiency in using weather data for predicting energy supply and demand. This German multinational specializes in wind, hydro, and biomass energy generation across the UK, powering around 12 million homes.
To elevate its capabilities, RWE is implementing HPE’s Private Cloud AI infrastructure. This scalable setup comes with Nvidia’s AI compute power, designed to improve how RWE analyzes weather data. With HPE GreenLake cloud features, RWE can manage its infrastructure more seamlessly, automate various processes, and track important sustainability metrics.
This solution operates on-site, which means RWE’s researchers can quickly adjust their computing resources according to their needs across different regions. Simon Tarplee, head of commercial AI at RWE Supply and Trading, highlights their commitment as a leader in renewable energy, facing the challenges of both power demand and climate protection. He sees AI as crucial for optimizing their operations and aims to have a production-capable solution up and running by the end of 2024.
The rollout of this technology aligns with RWE’s ambitious Growing Green investment program launched over three years ago, where the company plans to invest €55 billion globally in various renewable projects, including wind, solar, and storage. This initiative supports the broader goal of accelerating the energy transition and achieving net-zero emissions by 2040. RWE is prioritizing weather modeling in this journey.
Fidelma Russo, HPE’s chief technology officer, points out that refining AI-driven weather models will enhance efficiency within RWE’s renewable energy portfolio, giving the company a competitive edge. With HPE Private Cloud AI, RWE’s researchers can work faster and manage vast amounts of data more effectively.