Sensor-enabled embedded systems are redefining how future communities sense, reason about and manage utilities (water, electric, gas, sewage), roads, traffic lights, bridges, parking complexes, agriculture, waterways and the broader environment. With advances in low-power wide area networks (LP-WANs), we are seeing radios able to transmit small payloads at low data rates (a few kilobits per second) over long distances (several kilometers) with minimal power consumption. As such, LP-WANs have become both a target of study as well as an enabler for a variety of research projects. In this talk, I will describe our experiences in developing and deploying wireless sensing systems for energy-efficient building and smart-grid applications. I will start-off by discussing a number of hardware platforms and sensing techniques developed to improve visibility into buildings and their occupants. This includes new devices for occupancy estimation, demand-side management using electric water heaters and an assortment of low-cost and easy-to-install sub-metering devices. I then show how these devices can be easily integrated using an open-source platform called OpenChirp that provides data context, storage and visualization for sensing systems. Finally, I will go over a case-study where we electrified over 500 homes in rural Haiti with wireless smart-meters that now no longer require expensive and toxic kerosene for lighting.
The speakers are renowned scholars or industry experts in power and energy systems. We believe they will bring novel insights and fruitful discussions to Stanford. This seminar is offered as a 1 unit seminar course, CEE 272T/EE292T. Interested students can take this seminar course for credit by completing a project based on the topics presented in this course.
Anthony Rowe is an Associate Professor in the Electrical and Computer Engineering Department at Carnegie Mellon University. His research interests are in networked real-time embedded systems with a focus on wireless communication. His most recent projects have related to large-scale sensing for critical infrastructure monitoring, indoor localization, building energy-efficiency and technologies for microgrids. His past work has led to dozens of hardware and software systems, four best paper awards and several widely adopted open-source research platforms. He earned a Ph.D in Electrical and Computer Engineering from CMU in 2010, received the Lutron Joel and Ruth Spira Excellence in Teaching Award in 2013, the CMU CIT Early Career Fellowship and the Steven Ferves Award for Systems Research in 2015 and the Dr. William D. and Nancy W. Strecker Early Career chair in 2016.