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Automated system extracts millions of data points from 76,000 energy studies

By PulseAugur Editorial · [1 sources] ·

Researchers have developed an automated system to extract techno-economic data from over 76,000 energy system studies published since 2010. This system compiles millions of structured data points and associated metadata, providing a comprehensive and auditable database. The resulting FAIR database not only supports energy system models but also allows for large-scale analysis of academic assumptions versus empirical data and research trends over time and across different technologies and regions. An interactive dashboard is available for users to access and analyze this data. AI

IMPACT Enables more transparent and efficient analysis of energy system research, potentially accelerating data-driven decision-making.

RANK_REASON Academic paper detailing a new method for data extraction and database compilation. [lever_c_demoted from research: ic=1 ai=0.7]

Read on arXiv cs.CL →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Automated system extracts millions of data points from 76,000 energy studies

COVERAGE [1]

  1. arXiv cs.CL TIER_1 English(EN) · Maxime Gorres, Jan G\"opfert, Patrick Kuckertz, Noor Titan Putri Hartono, Heidi Heinrichs, Jochen Lin{\ss}en, Iain Staffel, Jann Michael Weinand ·

    Automated Extraction of Techno-Economic Data from 76,000 Energy System Studies

    arXiv:2607.19178v1 Announce Type: new Abstract: Energy system models guide societally important decisions, but their credibility rests on quantitative assumptions that are difficult to source and audit. Meta-analyses can improve transparency and modeling practices, but the rapid …

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