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.
Authors
- Enhua Li
- Xiongbo Zheng (ORCID: https://orcid.org/0000-0002-9178-049X)
- Liang Zhao (ORCID: https://orcid.org/0000-0002-9580-0136)
Institutions
- Cangzhou Normal University (CN)
- SEGi University (MY)
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
- Field-Weighted Citation Impact
- 0.00