title: Non-intrusive load monitoring approaches for disaggregated energy sensing: a survey.
abstract: Appliance Load Monitoring (ALM) is essential for energy management solutions, allowing them to obtain appliance-specific energy consumption statistics that can further be used to devise load scheduling strategies for optimal energy utilization. Fine-grained energy monitoring can be achieved by deploying smart power outlets on every device of interest; however it incurs extra hardware cost and installation complexity. Non-Intrusive Load Monitoring (NILM) is an attractive method for energy disaggregation, as it can discern devices from the aggregated data acquired from a single point of measurement. This paper provides a comprehensive overview of NILM system and its associated methods and techniques used for disaggregated energy sensing. We review the state-of-the art load signatures and disaggregation algorithms used for appliance recognition and highlight challenges and future research directions.
authors.affiliation: Center for Communication Systems Research, University of Surrey, Guildford, GU2 7XH, UK. a.zoha@surrey.ac.uk
authors.forename: Ahmed
authors.initials: A
authors.lastname: Zoha
authors.forename: Alexander
authors.initials: A
authors.lastname: Gluhak
authors.forename: Muhammad Ali
authors.initials: MA
authors.lastname: Imran
authors.forename: Sutharshan
authors.initials: S
authors.lastname: Rajasegarar
mesh_terms: D000465:Algorithms; D004867:Equipment Design; D006801:Humans; D059205:Renewable Energy