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Non-Intrusive Load Monitoring Approaches for Disaggregated Energy Sensing: A Survey
Open accessAbstract
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.
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Cites
Is disaggregation the holy grail of energy efficiency? The case of electricity
Carrie Armel, K., Gupta, A., Shrimali, G., & Albert, A. (2013) · Energy Policy · doi:10.1016/j.enpol.2012.08.062 · Cited by 595
Cited by
A review on buildings energy information: Trends, end-uses, fuels and drivers
González-Torres, M., Pérez-Lombard, L., Coronel, J. F., Maestre, I. R., & Yan, D. (2022) · Energy Reports · doi:10.1016/j.egyr.2021.11.280 · Cited by 1,036
Antonopoulos, I., Robu, V., Couraud, B., Kirli, D., Norbu, S., Kiprakis, A., Flynn, D., Elizondo-Gonzalez, S., & Wattam, S. (2020) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2020.109899 · Cited by 656
Transfer Learning for Non-Intrusive Load Monitoring
D'Incecco, M., Squartini, S., & Zhong, M. (2020) · IEEE Transactions on Smart Grid · doi:10.1109/tsg.2019.2938068 · Cited by 330
Cao, H., Liu, S., Zhao, R., & Xiong, X. (2020) · International Journal of Distributed Sensor Networks · doi:10.1177/1550147720919698 · Cited by 70
Liaqat, R., Sajjad, I. A., Waseem, M., & Alhelou, H. H. (2021) · IEEE Access · doi:10.1109/access.2021.3123196 · Cited by 39
Metadata
- Authors
- Zoha, A., Gluhak, A., Imran, M., & Rajasegarar, S.
- Venue
- Sensors
- Publisher
- MDPI AG
- Published
- 2012-12-06
- Volume
- 12
- Issue
- 12
- Pages
- 16838-16866
- ISSN
- 1424-8220 (ISSN-L)
- OpenAlex
- W1994042232
- Cited by
- 954
- References
- 1
- FWCI
- 25.64
- Type
- journal article
- Language
- en
- Open access
- gold
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- Zoha, A., Gluhak, A., Imran, M., & Rajasegarar, S. (2012). Non-Intrusive Load Monitoring Approaches for Disaggregated Energy Sensing: A Survey. Sensors. https://doi.org/10.3390/s121216838
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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