Empowering Energy Trading with MetDesk and NVIDIA Earth-2

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Table of Contents

  1. Introduction
  2. Empowering Energy Trading with MetDesk and NVIDIA Earth-2
  3. Ensemble Forecasting with NVIDIA FourCastNet (FCN) AI Model
  4. Performance and Comparison with Other Models
  5. Workflow of Operational Forecasting
  6. Accelerating Ensemble Inference with NVIDIA NIM

1. Introduction

MetDesk, in collaboration with NVIDIA Earth-2, utilizes AI-driven ensemble forecasting to provide accelerated weather data for energy trading markets.

2. Empowering Energy Trading with MetDesk and NVIDIA Earth-2

MetDesk operationalizes AI forecast ensembles using the NVIDIA Earth-2 platform to serve weather data to the energy trading market.

3. Ensemble Forecasting with NVIDIA FourCastNet (FCN) AI Model

Ensemble forecasts are generated using the NVIDIA FCN model, providing valuable insights for traders in practice.

4. Performance and Comparison with Other Models

MetDesk's AI models show improved skill levels compared to traditional numerical weather prediction models, benefiting trading clients in risk assessment.

5. Workflow of Operational Forecasting

MetDesk's operational workflow on NVIDIA GPUs generates ensemble forecasts by initializing perturbed initial conditions and running FCN 15-day forecasts, leading to the creation of diagnostic parameters for various weather products.

6. Accelerating Ensemble Inference with NVIDIA NIM

The NVIDIA NIM platform accelerates and scales ensemble inference, improving speed and resource efficiency in AI-driven weather forecasting models.