BLUED : A Fully Labeled Public Dataset for Event-Based Non-Intrusive Load Monitoring Research

By Kyle D. Anderson, A. Ocneanu, Derrick R. Carlson, Anthony G. Rowe, M. Berges. 2012

406 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

AMPds: A public dataset for load disaggregation and eco-feedback research (2013, background): “The CMU Building-Level fUlly labeled Electricity Disaggregation dataset or BLUED [16] contains high frequency readings of a single family home with a list of appliance events, but only for one week.”
Review of low voltage load forecasting: Methods, applications, and recommendations (2021, methodology): “Some datasets that have been cited in the literature like PLAID [154] OCTES, BLUED [12], sustdata [174] and DRED [212] were offline at the time of writing.”
The ECO data set and the performance of non-intrusive load monitoring algorithms (2014, methodology): “Since then, other data sets have been published such as the Smart* data set [4], GREEND [26], BLUED [1], AMPds [24], UK-Dale [18], iAWE [5], and the Pecan Street [15] data set.”
Non-Intrusive Load Monitoring Approaches for Disaggregated Energy Sensing: A Survey (2012, methodology): “Motivated by this, recently the Reference Energy Disaggregation Data Set (REDD) [28] and the Building-Level fUlly labeled Electricity Disaggregation dataset (BLUED) [64] have been made publicly available in order to facilitate the researchers in the development and evaluation of new load disaggregat”