ETFOptimize | High-performance ETF-based Investment Strategies

Quantitative strategies, Wall Street-caliber research, and insightful market analysis since 1998.


ETFOptimize | HOME
Close Window

RWE to Harness AI-driven Weather Modelling With HPE Private Cloud AI

Leading company in renewables to leverage HPE’s unique turnkey AI infrastructure solution to improve forecast accuracy and optimize energy resource management

Hewlett Packard Enterprise (HPE) today announced that RWE, a leading company in the field of renewable energy, has selected HPE Private Cloud AI to unlock new intelligence from weather data. Researchers at RWE’s Artificial Intelligence (AI) Research Laboratory will utilize the AI-optimized, turnkey private cloud to evaluate, fine tune and inference weather models, harnessing cutting-edge AI to enhance operational decision-making and their global renewable energy leadership.

“As a leading provider of renewable energy, RWE is at the forefront of balancing the increasing power demands of the modern world with the societal challenge of protecting the climate,” said Simon Tarplee, Head of Commercial AI at RWE Supply & Trading. “We see AI as a key enabler that allows us to optimize our processes and create new, sustainable solutions, and set the ambitious goal to have a production training capable solution in-place by the end of 2024. With HPE Private Cloud AI, we will have a turnkey solution that helps us to improve our forecast accuracy and optimize energy resource management globally.”

With its investment and growth strategy Growing Green, RWE is contributing significantly to the success of the energy transition and is expanding its generation portfolio by building new Onshore and Offshore Wind and Solar parks and batteries. The company is decarbonizing its business in line with the 1.5-degree reduction pathway and will be net zero by 2040. To achieve this, RWE is tapping into the vast potential of advanced AI to reach new levels of efficiency. Here, the advancement of weather modelling is a top priority, as weather is a fundamental driver of energy supply and demand, be it for consumption or production.

“The ability to fine tune and inference AI-driven weather models will be a key enabler to unlock higher efficiencies for RWE's renewable energy portfolio and will give them a significant competitive advantage in the market,” said Fidelma Russo, EVP & GM, Hybrid Cloud & CTO at HPE. “HPE Private Cloud AI is a unique turnkey solution that enables RWE's researchers to reach the market quicker and handle massive datasets.”

With HPE Private Cloud AI, a key offering of the NVIDIA AI Computing by HPE portfolio, RWE chose a private cloud solution that can be deployed in just three clicks, seamlessly handle the volume of data required for weather models and efficiently extract information with retrieval-augmented generation (RAG). With an on-premise solution, RWE’s researchers can quickly and easily deploy new private cloud AI infrastructure within their own policies, making it possible for them to experiment and scale AI projects and models more quickly across domains and regions.

HPE Private Cloud AI, which was co-developed with NVIDIA, will provide RWE with a platform-based experience through the HPE GreenLake cloud. This will enable the team to manage and observe infrastructure, automate processes, and orchestrate endpoints, workloads and data, including sustainability metrics. With this, the research team can fully focus on the model development, accelerating the time to market, providing RWE with a competitive advantage in their market.

About Hewlett Packard Enterprise

Hewlett Packard Enterprise (NYSE: HPE) is the global edge-to-cloud company that helps organizations accelerate outcomes by unlocking value from all of their data, everywhere. Built on decades of reimagining the future and innovating to advance the way people live and work, HPE delivers unique, open and intelligent technology solutions as a service. With offerings spanning Cloud Services, Compute, High Performance Computing & AI, Intelligent Edge, Software, and Storage, HPE provides a consistent experience across all clouds and edges, helping customers develop new business models, engage in new ways, and increase operational performance. For more information, visit www.hpe.com.

About RWE

RWE is leading the way to a clean energy world. With its investment and growth strategy Growing Green, RWE is contributing significantly to the success of the energy transition and the decarbonisation of the energy system. Around 20,000 employees work for the company in almost 30 countries worldwide. RWE is already one of the leading companies in the field of renewable energy. RWE is investing billions of euros in expanding its generation portfolio, in particular in offshore and onshore wind, solar energy and batteries. It is perfectly complemented by its global energy trading business. RWE is decarbonising its business in line with the 1.5-degree reduction pathway and will phase out coal by 2030. RWE will be net zero by 2040. Fully in line with the company’s purpose - Our energy for a sustainable life.

Contacts

Stock Quote API & Stock News API supplied by www.cloudquote.io
Quotes delayed at least 20 minutes.
By accessing this page, you agree to the following
Privacy Policy and Terms Of Service.


 

IntelligentValue Home
Close Window

DISCLAIMER

All content herein is issued solely for informational purposes and is not to be construed as an offer to sell or the solicitation of an offer to buy, nor should it be interpreted as a recommendation to buy, hold or sell (short or otherwise) any security.  All opinions, analyses, and information included herein are based on sources believed to be reliable, but no representation or warranty of any kind, expressed or implied, is made including but not limited to any representation or warranty concerning accuracy, completeness, correctness, timeliness or appropriateness. We undertake no obligation to update such opinions, analysis or information. You should independently verify all information contained on this website. Some information is based on analysis of past performance or hypothetical performance results, which have inherent limitations. We make no representation that any particular equity or strategy will or is likely to achieve profits or losses similar to those shown. Shareholders, employees, writers, contractors, and affiliates associated with ETFOptimize.com may have ownership positions in the securities that are mentioned. If you are not sure if ETFs, algorithmic investing, or a particular investment is right for you, you are urged to consult with a Registered Investment Advisor (RIA). Neither this website nor anyone associated with producing its content are Registered Investment Advisors, and no attempt is made herein to substitute for personalized, professional investment advice. Neither ETFOptimize.com, Global Alpha Investments, Inc., nor its employees, service providers, associates, or affiliates are responsible for any investment losses you may incur as a result of using the information provided herein. Remember that past investment returns may not be indicative of future returns.

Copyright © 1998-2017 ETFOptimize.com, a publication of Optimized Investments, Inc. All rights reserved.