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Smart-Building Applications: Deep Learning-Based, Real-Time Load Monitoring
IEEE Industrial Electronics Magazine ( IF 6.3 ) Pub Date : 2020-12-29 , DOI: 10.1109/mie.2020.3023075
Halil Cimen , Emilio Jose Palacios-Garcia , Morten Kolbaek , Nurettin Cetinkaya , Juan C. Vasquez , Josep M. Guerrero

Google's Director of Research Peter Norvig said, "We don't have better algorithms than anyone else; we just have more data." This inspiring statement shows that having more data is directly related to better decision making and foresight about the future. With the development of Internet of Things (IoT) technology, it is now much easier to gather data. Technological tools, such as social media websites, smartphones, and security cameras, can be considered as "data generators." When the focus is shifted to the energy field, these generators are "smart meters."

中文翻译:

智能建筑应用:基于深度学习的实时负载监控

Google 研究总监 Peter Norvig 说:“我们没有比其他任何人都更好的算法;我们只是拥有更多的数据。” 这一鼓舞人心的声明表明,拥有更多数据与更好的决策和对未来的远见直接相关。随着物联网 (IoT) 技术的发展,现在收集数据变得更加容易。社交媒体网站、智能手机和安全摄像头等技术工具可被视为“数据生成器”。当焦点转移到能源领域时,这些发电机就是“智能电表”。
更新日期:2020-12-29
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