Stephen Makonin

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 31

Top Topics

Spectral Clustering

Top Venues

IEEE Trans. Smart Grid

Publications

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)
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 (2023)
Wen Ting Maria Tu, Stephen Makonin
Designing PIDs for Reproducible Science Using Time-Series Data. MTSR (2022)
Wen Ting Maria Tu, Stephen Makonin
Designing PIDs for Reproducible Science Using Time-Series Data. CoRR (2022)
Alon Harell, Richard Jones, Stephen Makonin, Ivan V. Bajic
TraceGAN: Synthesizing Appliance Power Signatures Using Generative Adversarial Networks. IEEE Trans. Smart Grid 12 (5) (2021)
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)
Bundit Buddhahai, Stephen Makonin
A Nonintrusive Load Monitoring Based on Multi-Target Regression Approach. IEEE Access 9 (2021)
Christoph Klemenjak, Stephen Makonin, Wilfried Elmenreich
Towards Comparability in Non-Intrusive Load Monitoring: On Data and Performance Evaluation. ISGT (2020)
Richard Jones, Christoph Klemenjak, Stephen Makonin, Ivan V. Bajic
Stop: Exploring Bayesian Surprise to Better Train NILM. NILM@SenSys (2020)
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 (2020)
Christoph Klemenjak, Stephen Makonin, Wilfried Elmenreich
Towards Comparability in Non-Intrusive Load Monitoring: On Data and Performance Evaluation. CoRR (2020)
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)
Chinthaka Dinesh, Stephen Makonin, Ivan V. Bajic
Residential Power Forecasting Based on Affinity Aggregation Spectral Clustering. IEEE Access 8 (2020)
Christoph Klemenjak, Stephen Makonin, Wilfried Elmenreich
Investigating the Performance Gap between Testing on Real and Denoised Aggregates in Non-Intrusive Load Monitoring. CoRR (2020)
Shikha Singh, Angshul Majumdar, Stephen Makonin
Compressive Non-Intrusive Load Monitoring. BuildSys@SenSys (2020)
Alon Harell, Richard Jones, Stephen Makonin, Ivan V. Bajic
PowerGAN: Synthesizing Appliance Power Signatures Using Generative Adversarial Networks. CoRR (2020)
Christoph Klemenjak, Andreas Reinhardt, Lucas Pereira, Stephen Makonin, Mario Bergés, Wilfried Elmenreich
Electricity Consumption Data Sets: Pitfalls and Opportunities. BuildSys@SenSys (2019)
Chinthaka Dinesh, Stephen Makonin, Ivan V. Bajic
Residential Power Forecasting Using Load Identification and Graph Spectral Clustering. IEEE Trans. Circuits Syst. II Express Briefs (11) (2019)
Laura Guzman Flores, Stephen Makonin, Roger Alex Clapp
CarbonKit: Designing A Personal Carbon Tracking Platform. SocialSens@CPSIoTWeek (2019)
Christoph Klemenjak, Anthony Faustine, Stephen Makonin, Wilfried Elmenreich
On Metrics to Assess the Transferability of Machine Learning Models in Non-Intrusive Load Monitoring. CoRR (2019)
Megha Gaur, Stephen Makonin, Ivan V. Bajic, Angshul Majumdar
Performance Evaluation of Techniques for Identifying Abnormal Energy Consumption in Buildings. IEEE Access 7 (2019)
Alon Harell, Stephen Makonin, Ivan V. Bajic
Wavenilm: A Causal Neural Network for Power Disaggregation from the Complex Power Signal. ICASSP (2019)
Stephen Makonin, Z. Jane Wang, Chris Tumpach
RAE: The Rainforest Automation Energy Dataset for Smart Grid Meter Data Analysis. Data 3 (1) (2018)
Stephen Makonin, Z. Jane Wang, Chris Tumpach
RAE: The Rainforest Automation Energy Dataset for Smart Grid Meter Data Analysis. CoRR (2017)
Md. Zulfiquar Ali Bhotto, Stephen Makonin, Ivan V. Bajic
Load Disaggregation Based on Aided Linear Integer Programming. IEEE Trans. Circuits Syst. II Express Briefs (7) (2017)
Chinthaka Dinesh, Stephen Makonin, Ivan V. Bajic
Incorporating time-of-day usage patterns into non-intrusive load monitoring. GlobalSIP (2017)
Stephen Makonin
Investigating the switch continuity principle assumed in Non-Intrusive Load Monitoring (NILM). CCECE (2016)
Md. Zulfiquar Ali Bhotto, Stephen Makonin, Ivan V. Bajic
Load Disaggregation Based on Aided Linear Integer Programming. CoRR (2016)
Laura Guzman Flores, Stephen Makonin, Roger Alex Clapp
CarbonKit: a technological platform for personal carbon tracking. CoRR (2016)
Stephen Makonin, Daniel McVeigh, Wolfgang Stuerzlinger, Khoa Tran, Fred Popowich
Mixed-Initiative for Big Data: The Intersection of Human + Visual Analytics + Prediction. HICSS (2016)
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) (2016)
Reza Filsoof, Alison Bodine, Bob Gill, Stephen Makonin, Robert Nicholson
Transmitting patient vitals over a reliable ZigBee mesh network. IHTC (2014)
Stephen Makonin, Laura Guzman Flores, Robyn Gill, Roger Alex Clapp, Lyn Bartram, Bob Gill
A Consumer Bill of Rights for Energy Conservation. IHTC (2014)
Stephen Makonin, Maryam H. Kashani, Lyn Bartram
The Affect of Lifestyle Factors on Eco-Visualization Design. CoRR (2014)
Stephen Makonin, Lyn Bartram, Fred Popowich
A Smarter Smart Home: Case Studies of Ambient Intelligence. IEEE Pervasive Comput. 12 (1) (2013)
Stephen Makonin, Fred Popowich, Bob Gill
The cognitive power meter: Looking beyond the smart meter. CCECE (2013)
Stephen Makonin, Fred Popowich
An Intelligent Agent for Determining Home Occupancy Using Power Monitors and Light Sensors. ICOST (2011)
Stephen Makonin, Philippe Pasquier, Lyn Bartram
Elements of Consumption: An Abstract Visualization of Household Consumption. Smart Graphics (2011)