IIIT-Delhi campus / Delhi Carnegie Mellon University / Indraprastha Institute of Information Technology / /
IndustryTerm
energy meters / energy usage events / machine learning algorithms / Energy consumption information / multi-core processors / Smart electricity meters / time slice generation algorithm / energy impact / Energy footprint / user attribution algorithm / low cost devices / residential energy monitoring / energy data / energy use / acoustic sensing applications / energy usage data / level electricity meters / audio recognition algorithm / energy usage activity / house electricity meter / electricity meter data / energy usage / energy / direct energy metering / energy meter data / energy attribution / energy consumption / energy consumption behavioral patterns / inference algorithms / simplistic algorithms / energy usage activities / ubiquitous computing applications / kNN algorithm / detection algorithm / dual core processor / audio processing pipeline / electricity meter / context aware systems / overall energy burden / pre-processing / i.e. home level electricity meters / /
NaturalFeature
Lights waterfall / Fans waterfall / /
OperatingSystem
Android / /
Organization
Indraprastha Institute of Information Technology / User Association / US Federal Reserve / Carnegie Mellon University / /
EnergyLens: Combining Smartphones with Electricity Meter for Accurate Activity Detection and User Annotation Manaswi Saha† , Shailja Thakur† , Amarjeet Singh† , Yuvraj Agarwal‡ † †