Cloud computing based green and low-carbon building energy consumption monitoring and forecasting

This paper proposes a green and low-carbon building energy consumption monitoring system based on cloud computing. By integrating the ARIMA model and K-means clustering, the system achieves real-time prediction and automatic identification of energy consumption, thereby enhancing intelligence and response speed. Cloud computing enhances system scalability and plays a key role in monitoring large-scale building groups. Furthermore, by integrating green computing with energy management methods, the study demonstrates that the optimised buildings exhibit significantly improved energy efficiency and a substantially increased proportion of renewable energy usage.