An IoT-driven enterprise energy efficiency optimisation model: a path analysis for promoting a green economy

Companies are reconsidering energy use for conservation. Path analysis provides an IoT-driven green economy enterprise energy efficiency optimisation model (IoT-E3OM) - real-time energy usage data from industrial, logistics, and facilities management IoT sensors and actuators. Multiple linear regression assesses process optimisation, equipment efficiency, behavioural interventions, and renewable energy integration, while path analysis examines causal relationships impacting energy efficiency. Energy management with environmental aims may enhance business efficiency and profitability. IoT-E3OM betters prior models in energy prediction (97.8%), efficiency (96.5%), accuracy (95.4%), energy consumption (10.2%) and mean absolute error (7.3%). This approach improves Sustainability through energy management and green economics.

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Publication Details

Journal
International Journal of Global Warming
Published
2025-01-01
DOI
https://doi.org/10.1504/ijgw.2025.146661
Primary Topic
Energy Efficiency and Management
Type
article
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article

An IoT-driven enterprise energy efficiency optimisation model: a path analysis for promoting a green economy

Enhua Li, Xiongbo Zheng, Liang Zhao
1 links
International Journal of Global Warming
Energy Efficiency and Management
article

An IoT-driven enterprise energy efficiency optimisation model: a path analysis for promoting a green economy

Enhua Li, Xiongbo Zheng, Liang Zhao
article en

Abstract

Companies are reconsidering energy use for conservation. Path analysis provides an IoT-driven green economy enterprise energy efficiency optimisation model (IoT-E3OM) - real-time energy usage data from industrial, logistics, and facilities management IoT sensors and actuators. Multiple linear regression assesses process optimisation, equipment efficiency, behavioural interventions, and renewable energy integration, while path analysis examines causal relationships impacting energy efficiency. Energy management with environmental aims may enhance business efficiency and profitability. IoT-E3OM betters prior models in energy prediction (97.8%), efficiency (96.5%), accuracy (95.4%), energy consumption (10.2%) and mean absolute error (7.3%). This approach improves Sustainability through energy management and green economics.

International Journal of Global WarmingVol. 36(3)
Cangzhou Normal University (CN), SEGi University (MY)
Affordable and clean energy
Openalex Percentile: Top 92%
Energy Efficiency and Management
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An IoT-driven enterprise energy efficiency optimisation model: a path analysis for promoting a green economy — Enhua Li, Xiongbo Zheng, et al. · International Journal of Global Warming (2025) | TGRS Research Map | TGRS