RWE to Harness AI-driven Weather Modelling With HPE Private Cloud AI
RWE, a leading renewable energy company, has chosen HPE Private Cloud AI to enhance its weather data analysis capabilities. The solution will be utilized by RWE's AI Research Laboratory to evaluate and fine-tune weather models, aiming to improve forecast accuracy and optimize energy resource management. RWE targets implementation by end of 2024.
The initiative aligns with RWE's Growing Green strategy and commitment to becoming net zero by 2040. The HPE Private Cloud AI, co-developed with NVIDIA, offers a three-click deployment system and will be delivered through the HPE GreenLake cloud, enabling RWE's researchers to efficiently manage infrastructure and accelerate AI project development.
RWE, una delle principali aziende di energia rinnovabile, ha scelto HPE Private Cloud AI per migliorare le proprie capacità di analisi dei dati meteorologici. La soluzione sarà utilizzata dal Laboratorio di Ricerca AI di RWE per valutare e perfezionare i modelli meteorologici, con l'obiettivo di migliorare l'accuratezza delle previsioni e ottimizzare la gestione delle risorse energetiche. RWE mira a implementare la soluzione entro la fine del 2024.
L'iniziativa è in linea con la strategia Growing Green di RWE e l'impegno a diventare carbon negative entro il 2040. Il HPE Private Cloud AI, co-sviluppato con NVIDIA, offre un sistema di distribuzione con tre clic e sarà fornito attraverso il cloud HPE GreenLake, consentendo ai ricercatori di RWE di gestire efficacemente l'infrastruttura e accelerare lo sviluppo dei progetti di intelligenza artificiale.
RWE, una de las principales empresas de energía renovable, ha elegido HPE Private Cloud AI para mejorar sus capacidades de análisis de datos meteorológicos. La solución será utilizada por el Laboratorio de Investigación de AI de RWE para evaluar y ajustar los modelos meteorológicos, con el objetivo de mejorar la precisión de las previsiones y optimizar la gestión de los recursos energéticos. RWE planea implementar la solución para finales de 2024.
La iniciativa se alinea con la estrategia Growing Green de RWE y su compromiso de alcanzar emisiones netas cero para 2040. El HPE Private Cloud AI, co-desarrollado con NVIDIA, ofrece un sistema de implementación en tres clics y se proporcionará a través del cloud HPE GreenLake, permitiendo a los investigadores de RWE gestionar eficientemente la infraestructura y acelerar el desarrollo de proyectos de IA.
RWE, 주요 재생 에너지 회사는 HPE Private Cloud AI를 선택하여 기상 데이터 분석 능력을 향상시키기로 했습니다. 이 솔루션은 RWE의 AI 연구소에서 사용되어 기상 모델을 평가하고 조정하여 예측 정확도를 높이고 에너지 자원 관리를 최적화할 계획입니다. RWE는 2024년 말까지 구현하는 것을 목표로 하고 있습니다.
이 이니셔티브는 RWE의 Growing Green 전략과 2040년까지 탄소 중립을 목표로 하는 약속에 부합합니다. HPE Private Cloud AI는 NVIDIA와 공동 개발되어 있으며, 세 번의 클릭으로 배포하는 시스템을 제공하며, HPE GreenLake 클라우드를 통해 제공되어 RWE 연구원들이 인프라를 효율적으로 관리하고 AI 프로젝트 개발을 가속화할 수 있도록 합니다.
RWE, une entreprise leader dans le domaine des énergies renouvelables, a choisi HPE Private Cloud AI pour améliorer ses capacités d'analyse des données météorologiques. La solution sera utilisée par le Laboratoire de Recherche en IA de RWE pour évaluer et ajuster les modèles météorologiques, dans le but d'améliorer la précision des prévisions et d'optimiser la gestion des ressources énergétiques. RWE vise à mettre en œuvre la solution d'ici la fin de 2024.
L'initiative s'inscrit dans la stratégie Growing Green de RWE et son engagement à atteindre des émissions nettes nulles d'ici 2040. Le HPE Private Cloud AI, co-développé avec NVIDIA, propose un système de déploiement en trois clics et sera fourni via le cloud HPE GreenLake, permettant aux chercheurs de RWE de gérer efficacement l'infrastructure et d'accélérer le développement des projets d'IA.
RWE, ein führendes Unternehmen im Bereich erneuerbare Energien, hat sich für HPE Private Cloud AI entschieden, um seine Fähigkeiten zur Analyse von Wetterdaten zu verbessern. Die Lösung wird im AI-Forschungslabor von RWE genutzt, um Wettermodelle zu bewerten und zu optimieren, mit dem Ziel die Vorhersagegenauigkeit zu steigern und das Management von Energie-Ressourcen zu optimieren. RWE zielt darauf ab, die Lösung bis Ende 2024 umzusetzen.
Die Initiative steht im Einklang mit der Growing Green-Strategie von RWE und dem Engagement, bis 2040 netto null Emissionen zu erreichen. Das HPE Private Cloud AI, das gemeinsam mit NVIDIA entwickelt wurde, bietet ein Dreiklick-Implementierungssystem und wird über die HPE GreenLake-Cloud bereitgestellt, sodass die Forscher von RWE ihre Infrastruktur effizient verwalten und die Entwicklung von KI-Projekten beschleunigen können.
- Implementation of advanced AI technology to improve weather forecasting accuracy
- Strategic enhancement of operational decision-making capabilities
- Platform designed for quick deployment and scaling of AI projects
- On-premise solution allowing faster experimentation within company policies
- None.
Insights
The partnership between HPE and RWE represents a significant advancement in applying AI to renewable energy operations. The implementation of HPE Private Cloud AI for weather modeling is strategically important as it addresses a critical challenge in renewable energy management - accurate weather prediction for optimal resource allocation.
The solution's key technical advantages include:
- Three-click deployment capability
- Retrieval-augmented generation (RAG) for efficient data processing
- On-premise infrastructure that aligns with internal policies
Leading company in renewables to leverage HPE’s unique turnkey AI infrastructure solution to improve forecast accuracy and optimize energy resource management
“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.
View source version on businesswire.com: https://www.businesswire.com/news/home/20241121555594/en/
Editorial Contact:
Laura von Pentz
laura.von-pentz@hpe.com
Source: Hewlett Packard Enterprise
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