Unveiling Hidden Energy Anomalies: Harnessing Deep Learning to Optimize Energy Management in Sports Facilities

arXiv:2402.08742v1 Announce Type: cross
Abstract: Anomaly detection in sport facilities has gained significant attention due to its potential to promote energy saving and optimizing operational efficiency. In this research article, we investigate the role of machine learning, particularly deep learning, in anomaly detection for sport facilities. We explore the challenges and perspectives of utilizing deep learning methods for this task, aiming to address the drawbacks and limitations of conventional approaches. Our proposed approach involves feature extraction from the data collected …

abstract anomaly anomaly detection article arxiv attention cs.cy cs.lg deep learning detection efficiency energy energy management facilities hidden machine machine learning management promote research role saving sport sports type