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Stephen Makonin
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2020 – today
- 2024
- [c17]Isla Ziyat, Alia Gola, Patrick R. Palmer, Stephen Makonin, Fred Popowich:
Impact of Level 2 EV Charging on Phase Unbalance in Distribution Networks. ISGT 2024: 1-5 - 2023
- [j11]Isla Ziyat
, Alia Gola
, Patrick R. Palmer
, Stephen Makonin
, Fred Popowich
:
EV Charging Profiles and Waveforms Dataset (EV-CPW) and Associated Power Quality Analysis. IEEE Access 11: 138445-138456 (2023) - 2022
- [c16]Wen Ting Maria Tu, Stephen Makonin:
Designing PIDs for Reproducible Science Using Time-Series Data. MTSR 2022: 295-301 - [i10]Wen Ting Maria Tu, Stephen Makonin:
Designing PIDs for Reproducible Science Using Time-Series Data. CoRR abs/2209.10475 (2022) - 2021
- [j10]Bundit Buddhahai
, Stephen Makonin
:
A Nonintrusive Load Monitoring Based on Multi-Target Regression Approach. IEEE Access 9: 163033-163042 (2021) - [j9]Christoph Klemenjak
, Stephen Makonin, Wilfried Elmenreich:
Investigating the performance gap between testing on real and denoised aggregates in non-intrusive load monitoring. Energy Inform. 4(1) (2021) - [j8]Alon Harell
, Richard Jones, Stephen Makonin
, Ivan V. Bajic
:
TraceGAN: Synthesizing Appliance Power Signatures Using Generative Adversarial Networks. IEEE Trans. Smart Grid 12(5): 4553-4563 (2021) - [d1]Stephen Makonin
:
AMPds2: The Almanac of Minutely Power dataset (Version 2). IEEE DataPort, 2021 - 2020
- [j7]Chinthaka Dinesh
, Stephen Makonin
, Ivan V. Bajic:
Residential Power Forecasting Based on Affinity Aggregation Spectral Clustering. IEEE Access 8: 99431-99444 (2020) - [c15]Richard Jones, Alejandro Rodriguez-Silva, Stephen Makonin:
Increasing the Accuracy and Speed of Universal Non-Intrusive Load Monitoring (UNILM) Using a Novel Real- Time Steady-State Block Filter. ISGT 2020: 1-5 - [c14]Christoph Klemenjak, Stephen Makonin, Wilfried Elmenreich:
Towards Comparability in Non-Intrusive Load Monitoring: On Data and Performance Evaluation. ISGT 2020: 1-5 - [c13]Richard Jones, Christoph Klemenjak, Stephen Makonin, Ivan V. Bajic:
Stop: Exploring Bayesian Surprise to Better Train NILM. NILM@SenSys 2020: 39-43 - [c12]Shikha Singh, Angshul Majumdar, Stephen Makonin:
Compressive Non-Intrusive Load Monitoring. BuildSys@SenSys 2020: 290-293 - [i9]Christoph Klemenjak
, Stephen Makonin, Wilfried Elmenreich:
Towards Comparability in Non-Intrusive Load Monitoring: On Data and Performance Evaluation. CoRR abs/2001.07708 (2020) - [i8]Alon Harell, Richard Jones, Stephen Makonin, Ivan V. Bajic:
PowerGAN: Synthesizing Appliance Power Signatures Using Generative Adversarial Networks. CoRR abs/2007.13645 (2020) - [i7]Christoph Klemenjak, Stephen Makonin, Wilfried Elmenreich:
Investigating the Performance Gap between Testing on Real and Denoised Aggregates in Non-Intrusive Load Monitoring. CoRR abs/2008.10985 (2020) - [i6]Richard Jones, Christoph Klemenjak, Stephen Makonin, Ivan V. Bajic:
Exploring Bayesian Surprise to Prevent Overfitting and to Predict Model Performance in Non-Intrusive Load Monitoring. CoRR abs/2009.07756 (2020)
2010 – 2019
- 2019
- [j6]Megha Gaur
, Stephen Makonin
, Ivan V. Bajic
, Angshul Majumdar:
Performance Evaluation of Techniques for Identifying Abnormal Energy Consumption in Buildings. IEEE Access 7: 62721-62733 (2019) - [j5]Chinthaka Dinesh
, Stephen Makonin
, Ivan V. Bajic
:
Residential Power Forecasting Using Load Identification and Graph Spectral Clustering. IEEE Trans. Circuits Syst. II Express Briefs 66-II(11): 1900-1904 (2019) - [c11]Laura Guzman Flores, Stephen Makonin, Roger Alex Clapp:
CarbonKit: Designing A Personal Carbon Tracking Platform. SocialSens@CPSIoTWeek 2019: 24-29 - [c10]Alon Harell, Stephen Makonin, Ivan V. Bajic
:
Wavenilm: A Causal Neural Network for Power Disaggregation from the Complex Power Signal. ICASSP 2019: 8335-8339 - [c9]Christoph Klemenjak
, Andreas Reinhardt, Lucas Pereira
, Stephen Makonin, Mario Bergés, Wilfried Elmenreich:
Electricity Consumption Data Sets: Pitfalls and Opportunities. BuildSys@SenSys 2019: 159-162 - [i5]Christoph Klemenjak
, Anthony Faustine, Stephen Makonin, Wilfried Elmenreich:
On Metrics to Assess the Transferability of Machine Learning Models in Non-Intrusive Load Monitoring. CoRR abs/1912.06200 (2019) - 2018
- [j4]Stephen Makonin
, Z. Jane Wang, Chris Tumpach:
RAE: The Rainforest Automation Energy Dataset for Smart Grid Meter Data Analysis. Data 3(1): 8 (2018) - 2017
- [j3]Md. Zulfiquar Ali Bhotto, Stephen Makonin
, Ivan V. Bajic
:
Load Disaggregation Based on Aided Linear Integer Programming. IEEE Trans. Circuits Syst. II Express Briefs 64-II(7): 792-796 (2017) - [c8]Chinthaka Dinesh, Stephen Makonin, Ivan V. Bajic
:
Incorporating time-of-day usage patterns into non-intrusive load monitoring. GlobalSIP 2017: 1110-1114 - [i4]Stephen Makonin, Z. Jane Wang, Chris Tumpach:
RAE: The Rainforest Automation Energy Dataset for Smart Grid Meter Data Analysis. CoRR abs/1705.05767 (2017) - 2016
- [j2]Stephen Makonin
, Fred Popowich, Ivan V. Bajic
, Bob Gill, Lyn Bartram
:
Exploiting HMM Sparsity to Perform Online Real-Time Nonintrusive Load Monitoring. IEEE Trans. Smart Grid 7(6): 2575-2585 (2016) - [c7]Stephen Makonin:
Investigating the switch continuity principle assumed in Non-Intrusive Load Monitoring (NILM). CCECE 2016: 1-4 - [c6]Stephen Makonin, Daniel McVeigh, Wolfgang Stuerzlinger
, Khoa Tran, Fred Popowich:
Mixed-Initiative for Big Data: The Intersection of Human + Visual Analytics + Prediction. HICSS 2016: 1427-1436 - [i3]Md. Zulfiquar Ali Bhotto, Stephen Makonin, Ivan V. Bajic:
Load Disaggregation Based on Aided Linear Integer Programming. CoRR abs/1603.07417 (2016) - [i2]Laura Guzman Flores, Stephen Makonin, Roger Alex Clapp:
CarbonKit: a technological platform for personal carbon tracking. CoRR abs/1608.04162 (2016) - 2014
- [c5]Reza Filsoof, Alison Bodine, Bob Gill, Stephen Makonin, Robert Nicholson:
Transmitting patient vitals over a reliable ZigBee mesh network. IHTC 2014: 1-5 - [c4]Stephen Makonin, Laura Guzman Flores, Robyn Gill, Roger Alex Clapp, Lyn Bartram
, Bob Gill:
A Consumer Bill of Rights for Energy Conservation. IHTC 2014: 1-6 - [i1]Stephen Makonin, Maryam H. Kashani, Lyn Bartram:
The Affect of Lifestyle Factors on Eco-Visualization Design. CoRR abs/1405.5263 (2014) - 2013
- [j1]Stephen Makonin
, Lyn Bartram
, Fred Popowich:
A Smarter Smart Home: Case Studies of Ambient Intelligence. IEEE Pervasive Comput. 12(1): 58-66 (2013) - [c3]Stephen Makonin
, Fred Popowich, Bob Gill:
The cognitive power meter: Looking beyond the smart meter. CCECE 2013: 1-5 - 2011
- [c2]Stephen Makonin
, Fred Popowich:
An Intelligent Agent for Determining Home Occupancy Using Power Monitors and Light Sensors. ICOST 2011: 236-240 - [c1]Stephen Makonin
, Philippe Pasquier
, Lyn Bartram
:
Elements of Consumption: An Abstract Visualization of Household Consumption. Smart Graphics 2011: 194-198
Coauthor Index
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last updated on 2024-06-19 21:53 CEST by the dblp team
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