ChatGrid: Power Grid Visualization Empowered by a Large Language Model

This paper presents a novel open system, ChatGrid, for easy, intuitive, and interactive geospatial visualization of large-scale transmission networks. ChatGrid uses state-of-the-art techniques for geospatial visualization of large networks, including 2.5D map views, animated flows, hierarchical and level-based filtering and aggregation to provide visual information in an easy, cognitive manner. The highlight of ChatGrid is a natural language query based interface powered by a large language model (ChatGPT) that offers a natural and flexible interactive experience whereby users can ask questions and ChatGrid provides responses both in text and visually. This paper discusses the architecture, implementation, design decisions, and usage of large language models for ChatGrid.

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Publication Details

Published
2024-10-13
DOI
https://doi.org/10.1109/energyvis63885.2024.00007
Citations
5
Primary Topic
Distributed and Parallel Computing Systems
Type
article
Field-Weighted Citation Impact
1.74
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article

ChatGrid: Power Grid Visualization Empowered by a Large Language Model

Shrirang Abhyankar, Sichen Jin
5 citations
Distributed and Parallel Computing Systems
1.74
article

ChatGrid: Power Grid Visualization Empowered by a Large Language Model

Shrirang Abhyankar, Sichen Jin
article en
5 citations

Abstract

This paper presents a novel open system, ChatGrid, for easy, intuitive, and interactive geospatial visualization of large-scale transmission networks. ChatGrid uses state-of-the-art techniques for geospatial visualization of large networks, including 2.5D map views, animated flows, hierarchical and level-based filtering and aggregation to provide visual information in an easy, cognitive manner. The highlight of ChatGrid is a natural language query based interface powered by a large language model (ChatGPT) that offers a natural and flexible interactive experience whereby users can ask questions and ChatGrid provides responses both in text and visually. This paper discusses the architecture, implementation, design decisions, and usage of large language models for ChatGrid.

Georgia Institute of Technology (US), Pacific Northwest National Laboratory (US)
Openalex Percentile: Top 14%
Distributed and Parallel Computing Systems
1.74
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