TELESAFE: Monitoring Energy Consumption for Work-Life Boundaries in Telework
Published in ICDMW, 2025
Since COVID-19, teleworking has become widespread, raising concerns about employees’ work-life balance and well-being. We demonstrate TELESAFE, a lightweight, fully local and unsupervised system for detecting work-life boundary crossings (breaks during work time, overworking during personal time) based on household electricity consumption time series. Unlike traditional monitoring tools, TELESAFE does not rely on machine learning, cloud services, or additional sensors. Instead, it leverages already available data from smart meters commonly deployed in homes, ensuring full user privacy. We showcase two use cases (breaks, overworking) and present a self-monitoring interface for teleworkers.
Recommended citation: H. Zhang, N. Anciaux, B. Nguyen and J. M. de Fuentes, "TELESAFE: Monitoring Energy Consumption for Work-Life Boundaries in Telework," 2025 IEEE International Conference on Data Mining Workshops (ICDMW), Washington, DC, USA, 2025, pp. 2527-2530, doi: 10.1109/ICDMW69685.2025.00315.
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