Enterprise energy management optimisation and decision support system based on big data analysis
Abstract
Global energy demand surge and worsening environmental issues make optimising corporate energy management key to boosting efficiency, cutting costs and achieving sustainability.This study proposes a multi-level, modular decision support system (DSS) architecture for enterprise energy management optimisation, based on big data analysis.It integrates deep learning, reinforcement learning and digital twins, using genetic algorithms (GA) for global search (e.g., multi-energy allocation) and particle swarm optimisation (PSO) for faster-convergent local refinement.Lighting systems account for 47% of production auxiliary energy; office devices take 63.9% of administrative consumption.A 500+-device factory saw energy utilisation rise from 82% to 92% via the system.Analysis shows production-linked consumption (52.7% of total) has core equipment contributing 88.3%.
Fields of Study & Subjects
Energy Efficiency and Management
Integrated Energy Systems Optimization
Digital Transformation in Industry
Publication details
- Journal / source
- International Journal of Information and Communication Technology
- Publisher
- Inderscience Publishers
- Volume
- 27
- Issue
- 16
- Pages
- 22–39
- Publication date
- 1 January 2026
- Language
- EN