Details of Research Outputs

TitlePrivacy Preserving in Non-Intrusive Load Monitoring: A Differential Privacy Perspective
Author (Name in English or Pinyin)
Wang, H.1; Zhang, J.1; Lu, C.1; Wu, C.2,3
Date Issued2021-05-01
Source PublicationIEEE Transactions on Smart Grid
ISSN19493053
DOI10.1109/TSG.2020.3038757
Education discipline科技类
Published range国外学术期刊
Volume Issue Pages卷: 12 期: 3 页: 2529-2543
References
[1] G. W. Hart, "Residential energy monitoring and computerized surveillance via utility power flows," IEEE Technol. Soc. Mag., vol. 8, no. 2, pp. 12-16, Jun. 1989.
[2] F. Kreith and R. P. Chhabra, CRC Handbook of Thermal Engineering. Boca Raton, FL, USA: CRC press, 2017.
[3] M. Fell, H. Kennard, G. Huebner, M. Nicolson, S. Elam, and D. Shipworth, Energising Health: A Review of the Health and Care Applications of Smart Meter Data, SMART Energy GB, London, U.K., 2017.
[4] J. R. Herrero et al., "Non intrusive load monitoring (NILM): A state of the art," in Proc. Int. Conf. Practical Appl. Agents Multi Agent Syst., 2017, pp. 125-138.
[5] A. Connolly, "Freedom of encryption," IEEE Security Privacy, vol. 16, no. 1, pp. 102-103, Jan./Feb. 2018.
[6] R. L. Monteiro. The New Brazilian General Data Protection Law-A Detailed Analysis. Accessed: Nov. 2020. [Online]. Available: http://shorturl.at/BGH09
[7] C. Brumfield. 11 New State Privacy and Security Laws Explained: Is Your Business Ready? Accessed: Nov. 2020. [Online]. Available: https://shorturl.at/ilBZ8
[8] C. Dwork, F. Mcsherry, K. Nissim, and A. Smith, Calibrating Noise to Sensitivity in Private Data Analysis (Lecture Notes in Computer Science). Berlin, Germany: Springer, 2006, pp. 265-284.
[9] W. Wang, L. Ying, and J. Zhang, "On the relation between identifiability, differential privacy, and mutual-information privacy," IEEE Trans. Inf. Theory, vol. 62, no. 9, pp. 5018-5029, Sep. 2016.
[10] M. Z. A. Bhotto, S. Makonin, and I. V. Bajíc, "Load disaggregation based on aided linear integer programming," IEEE Trans. Circuits Syst. II, Exp. Briefs, vol. 64, no. 7, pp. 792-796, Jul. 2017.
[11] H. Kim, M. Marwah, M. Arlitt, G. Lyon, and J. Han, "Unsupervised disaggregation of low frequency power measurements," in Proc. SIAM Int. Conf. Data Min., 2011, pp. 747-758.
[12] S. Makonin, F. Popowich, I. V. Bajic, B. Gill, and L. Bartram, "Exploiting HMM sparsity to perform online real-time nonintrusive load monitoring," IEEE Trans. Smart Grid, vol. 7, no. 6, pp. 2575-2585, Nov. 2016.
[13] J. Kelly and W. Knottenbelt, "Neural NILM: Deep neural networks applied to energy disaggregation," in Proc. 2nd ACM Int. Conf. Embedded Syst. Energy Efficient Built Environ., New York, NY, USA, 2015, pp. 55-64.
[14] G. Kalogridis, C. Efthymiou, S. Z. Denic, T. A. Lewis, and R. Cepeda, "Privacy for smart meters: Towards undetectable appliance load signatures," in Proc. 1st IEEE Int. Conf. Smart Grid Commun., 2010, pp. 232-237.
[15] M. Backes and S. Meiser, "Differentially private smart metering with battery recharging," in Proc. 8th Int. Workshop Data Privacy Manag. Auton. Spontaneous Security, vol. 8247, 2013, pp. 194-212. [Online]. Available: https://link.springer.com/chapter/10.1007/978-3-642-54568-9_13#citeas
[16] D. Chen, S. Kalra, D. Irwin, P. Shenoy, and J. Albrecht, "Preventing occupancy detection from smart meters," IEEE Trans. Smart Grid, vol. 6, no. 5, pp. 2426-2434, Sep. 2015.
[17] H. Cao, S. Liu, L. Wu, Z. Guan, and X. Du, "Achieving differential privacy against non-intrusive load monitoring in smart grid: A fog computing approach," Concurrency Comput. Pract. Experience, vol. 31, no. 22, 2019, Art. no. e4528.
[18] V. Rastogi and S. Nath, "Differentially private aggregation of distributed time-series with transformation and encryption," in Proc. ACM SIGMOD Int. Conf. Manag. Data, New York, NY, USA, 2010, pp. 735-746.
[19] S. Makonin, Z. J. Wang, and C. Tumpach, "RAE: The rainforest automation energy dataset for smart grid meter data analysis," Data, vol. 3, no. 1, p. 8, 2018.
[20] E. C. Kara, C. M. Roberts, M. Tabone, L. Alvarez, D. S. Callaway, and E. M. Stewart, "Disaggregating solar generation from feeder-level measurements," Sustain. Energy Grids Netw., vol. 13, pp. 112-121, Mar. 2018.
[21] M. Tabone, S. Kiliccote, and E. C. Kara, "Disaggregating solar generation behind individual meters in real time," in Proc. 5th Conf. Syst. Built Environ., 2018, pp. 43-52.
[22] F. Wang et al., "A distributed PV system capacity estimation approach based on support vector machine with customer net load curve features," Energies, vol. 11, no. 7, p. 1750, 2018.
[23] National Electrical Manufacturers Association, American National Standard for Electricity Meter: 0.2 and 0.5 Accuracy Classes, ANSI Standards C12.20-2010, 2010.
[24] D. L. Donoho and M. Elad, "Optimally sparse representation in general (nonorthogonal) dictionaries via 1 minimization," Proc. Natl. Acad. Sci., vol. 100, no. 5, pp. 2197-2202, 2003.
[25] E. J. Candès, J. K. Romberg, and T. Tao, "Stable signal recovery from incomplete and inaccurate measurements," Commun. Pure Appl. Math., vol. 59, no. 8, pp. 1207-1223, 2006.
[26] D. Easley and J. Kleinberg, Networks, Crowds, and Markets: Reasoning about a Highly Connected World. Cambridge, U.K.: Cambridge Univ. Press, 2010.
[27] J. Kelly and W. Knottenbelt, "The UK-DALE dataset, domestic appliance-level electricity demand and whole-house demand from five UK homes," Sci. Data, vol. 2, Mar. 2015, Art. no. 150007.
[28] J. Z. Kolter and M. J. Johnson, "REDD: A public data set for energy disaggregation research," in Proc. SIGKDD, vol. 25, 2011, pp. 59-62.
[29] Q. Geng and P. Viswanath, "The optimal mechanism in differential privacy," in Proc. IEEE Int. Symp. Inf. Theory, 2014, pp. 2371-2375.
[30] N. Batra et al., "NILMTK: An open source toolkit for non-intrusive load monitoring," in Proc. 5th Int. Conf. Future Energy Syst., 2014, pp. 265-276.
[31] NILMTK. NILMTK-API Documentation. Accessed: Jan. 2020. [Online]. Available: http://nilmtk.github.io/nilmtk/master/index.html
[32] Y. Yu et al., "Good consumer or bad consumer: Economic information revealed from demand profiles," IEEE Trans. Smart Grid, vol. 9, no. 3, pp. 2347-2358, May 2017.
[33] Pecan Street, Inc. Pecan Street Data. Accessed: May 2016. [Online]. Available: http://www.pecanstreet.org
Citation statistics
Cited Times:29[WOS]   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
Identifierhttps://irepository.cuhk.edu.cn/handle/3EPUXD0A/2426
CollectionSchool of Management and Economics
School of Science and Engineering
Corresponding AuthorWu, C.
Affiliation
1.Institute for Interdisciplinary Information Sciences (IIIS), Tsinghua University, Beijing, 100084, China
2.School of Science and Engineering, Chinese University of Hong Kong, Shenzhen, 100084, Hong Kong
3.Research Center on Crowd Intelligence, Shenzhen Institute of Artificial Intelligence and Robotics for Society, Shenzhen, 518129, China
Corresponding Author AffilicationSchool of Science and Engineering;  Shenzhen Institute of Artificial Intelligence and Robotics for Society
Recommended Citation
GB/T 7714
Wang, H.,Zhang, J.,Lu, C.et al. Privacy Preserving in Non-Intrusive Load Monitoring: A Differential Privacy Perspective[J]. IEEE Transactions on Smart Grid,2021.
APA Wang, H., Zhang, J., Lu, C., & Wu, C. (2021). Privacy Preserving in Non-Intrusive Load Monitoring: A Differential Privacy Perspective. IEEE Transactions on Smart Grid.
MLA Wang, H.,et al."Privacy Preserving in Non-Intrusive Load Monitoring: A Differential Privacy Perspective".IEEE Transactions on Smart Grid (2021).
Files in This Item:
There are no files associated with this item.
Related Services
Usage statistics
Google Scholar
Similar articles in Google Scholar
[Wang, H.]'s Articles
[Zhang, J.]'s Articles
[Lu, C.]'s Articles
Baidu academic
Similar articles in Baidu academic
[Wang, H.]'s Articles
[Zhang, J.]'s Articles
[Lu, C.]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Wang, H.]'s Articles
[Zhang, J.]'s Articles
[Lu, C.]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.