Stephen Makonin
Stephen Makonin
Adjunct Professor of Engineering Science, Simon Fraser University
Verified email at - Homepage
Cited by
Cited by
AMPds: A public dataset for load disaggregation and eco-feedback research
S Makonin, F Popowich, L Bartram, B Gill, IV Bajic
Electrical Power & Energy Conference (EPEC), 2013 IEEE, 1-6, 2013
Exploiting HMM Sparsity to Perform Online Real-Time Nonintrusive Load Monitoring
S Makonin, F Popowich, IV Bajic, B Gill, L Bartram
IEEE Transactions on Smart Grid 7 (6), 2575-2585, 2016
Electricity, water, and natural gas consumption of a residential house in Canada from 2012 to 2014
S Makonin, B Ellert, IV Bajic, F Popowich
Scientific Data 3 (160037), 1-12, 2016
Nonintrusive load monitoring (NILM) performance evaluation
S Makonin, F Popowich
Energy Efficiency 8 (4), 809-814, 2015
WaveNILM: A Causal Neural Network for Power Disaggregation from the Complex Power Signal
A Harell, S Makonin, IV Bajic
The 44th International Conference on Acoustics, Speech, and Signal …, 2019
Load Disaggregation Based on Aided Linear Integer Programming
MZA Bhotto, S Makonin, I Bajic
IEEE Transactions on Circuits and Systems II: Express Briefs 64 (7), 792-796, 2017
RAE: The Rainforest Automation Energy Dataset for Smart Grid Meter Data Analysis
S Makonin, ZJ Wang, C Tumpach
MDPI Data 3 (1), 1-9, 2018
A Smarter Smart Home: Case Studies of Ambient Intelligence
S Makonin, L Bartram, F Popowich
Pervasive Computing, IEEE 12 (1), 58-66, 2013
Residential power forecasting using load identification and graph spectral clustering
C Dinesh, S Makonin, IV Bajić
IEEE Transactions on Circuits and Systems II: Express Briefs 66 (11), 1900-1904, 2019
Towards Comparability in Non-Intrusive Load Monitoring: On Data and Performance Evaluation
C Klemenjak, S Makonin, W Elmenreich
The 11th Conference on Innovative Smart Grid Technologies (ISGT), 5, 2020
The cognitive power meter: Looking beyond the smart meter
S Makonin, F Popowich, B Gill
Electrical and Computer Engineering (CCECE), 2013 26th Annual IEEE Canadian …, 2013
HUE: The Hourly Usage of Energy Dataset for Buildings in British Columbia
S Makonin
Data in Brief 23, 1-4, 2019
Performance evaluation of techniques for identifying abnormal energy consumption in buildings
M Gaur, S Makonin, IV Bajic, A Majumdar
IEEE Access 7, 62721-62733, 2019
Efficient Sparse Matrix Processing for Nonintrusive Load Monitoring (NILM)
S Makonin, IV Bajic, F Popowich
2nd International Workshop on Non-Intrusive Load Monitoring, 2014
TraceGAN: Synthesizing appliance power signatures using generative adversarial networks
A Harell, R Jones, S Makonin, IV Bajić
IEEE Transactions on Smart Grid 12 (5), 4553-4563, 2021
Real-time embedded low-frequency load disaggregation
S Makonin
Simon Fraser University, School of Computing Science, 2014
Electricity consumption data sets: Pitfalls and opportunities
C Klemenjak, A Reinhardt, L Pereira, S Makonin, M Bergés, ...
Proceedings of the 6th ACM international conference on systems for energy …, 2019
Mixed-Initiative for Big Data: The Intersection of Human + Visual Analytics + Prediction
S Makonin, D McVeigh, W Stuerzlinger, K Tran, F Popowich
2016 49th Hawaii International Conference on System Sciences (HICSS), 1427-1436, 2016
Visual C++ 5.0 Developer's Guide
D Bennett, S Makonin, VW Mayfield, T Neustaedter, MR Wrenn
Sams Publishing, 1997
Investigating the Switch Continuity Principle Assumed in Non-Intrusive Load Monitoring (NILM)
S Makonin
IEEE Canadian Conference on Electrical and Computer Engineering (CCECE), 2016
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