Work

D6.1. Energy data analytics visual tool

Year: 2025

Type: article

Abstract: Tool that will help end-users to design, develop and release new and advanced algorithms as well as models for the extraction of meaningful and valuable insights from energy datasets.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.17130288

Authors: Bergia, Stefano, Galatola, Marco, Baka, Maria-Iro (Maro)

Institution: LINKS Foundation

Language: English

Topic: Data Visualization and Analytics

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

SDG: Affordable and clean energy

Open Access status: green

OpenAlex ID: W7081987254

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