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New STREAM framework enhances industrial energy data acquisition

By PulseAugur Editorial · [1 sources] ·

A new framework called STREAM has been developed to improve industrial energy data acquisition by focusing on the specific objectives of energy performance assessments. This framework ensures that the collected data is not only accessible but also analytically suitable, addressing uncertainties related to measurement, context, and processing. STREAM was validated using data from industrial batch processes, demonstrating its effectiveness in guiding decisions about data usability and infrastructure improvements. AI

IMPACT This framework could improve the quality and relevance of data used in AI-driven industrial energy management systems.

RANK_REASON The cluster contains a research paper detailing a new framework for data acquisition. [lever_c_demoted from research: ic=1 ai=0.7]

Read on arXiv cs.IR (Information Retrieval) →

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

New STREAM framework enhances industrial energy data acquisition

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2 / 100
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The cluster contains a research paper detailing a new framework for data acquisition. [lever_c_demoted from research: ic=1 ai=0.7]
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paper, infra
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High
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COVERAGE [1]

  1. arXiv cs.IR (Information Retrieval) TIER_1 English(EN) · Zheng Grace Ma ·

    STREAM: An Objective-Driven and Uncertainty-Aware Framework for Industrial Energy Data Acquisition

    Industrial energy management requires datasets that connect energy use with equipment states, production batches, material flows, and process conditions. However, conventional acquisition workflows commonly emphasize connectivity and storage without verifying whether accessible s…

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