Intelligent Power Today Magazine

Building Automation Systems (BAS) play a crucial role in optimizing energy consumption and maintaining building comfort. However, traditional BAS primarily focus on reactive maintenance, addressing equipment failures only after they occur. This reactive approach can lead to costly downtime, disrupted operations, and higher repair costs. Machine Learning (ML) offers a powerful tool for BAS to transition from reactive to proactive maintenance, enabling the prediction of potential equipment failures and the implementation of preventive measures. This...