ODDs: Occupancy Detection Dataset
Harvard Dataverse (Africa Rice Center, Bioversity International, CCAFS, CIAT, IFPRI, IRRI and WorldFish)
View Archive InfoField | Value | |
Title |
ODDs: Occupancy Detection Dataset
|
|
Identifier |
https://doi.org/10.7910/DVN/2K9FFE
|
|
Creator |
Makonin, Stephen
|
|
Publisher |
Harvard Dataverse
|
|
Description |
This dataset contains power meter, ambient light, and ambient temperature sensors readings; including weather and daylight data. Sensor readings are at 15 minute intervals for about 8 months. This dataset was originally used in my conference publication An intelligent agent for determining home occupancy using power monitors and light sensors (2011) and the later expanded journal paper Home Occupancy Agent: Occupancy and Sleep Detection (2012). This dataset monitors the same house that AMPds and should have not limited use for testing very low-frequency load disaggregation (nonintrusive load monitoring or NILM) algorithms and activity inference algorithms. |
|
Subject |
Computer and Information Science
Earth and Environmental Sciences Engineering |
|
Contributor |
Makonin, Stephen
|
|