An Intelligent Agent for Determining Home Occupancy Using Power Monitors and Light Sensors. - Stephen Makonin; Fred Popowich (ICOST, 2011)

Elements of Consumption: An Abstract Visualization of Household Consumption. - Stephen Makonin; Philippe Pasquier; Lyn Bartram (Smart Graphics, 2011)

The cognitive power meter: Looking beyond the smart meter. - Stephen Makonin; Fred Popowich; Bob Gill (CCECE, 2013)

A Smarter Smart Home: Case Studies of Ambient Intelligence. - Stephen Makonin; Lyn Bartram; Fred Popowich (IEEE Pervasive Comput., 2013)

Transmitting patient vitals over a reliable ZigBee mesh network. - Reza Filsoof; Alison Bodine; Bob Gill; Stephen Makonin; Robert Nicholson (IHTC, 2014)

A Consumer Bill of Rights for Energy Conservation. - Stephen Makonin; Laura Guzman Flores; Robyn Gill; Roger Alex Clapp; Lyn Bartram; Bob Gill (IHTC, 2014)

The Affect of Lifestyle Factors on Eco-Visualization Design. - Stephen Makonin; Maryam H. Kashani; Lyn Bartram (CoRR, 2014)

Investigating the switch continuity principle assumed in Non-Intrusive Load Monitoring (NILM). - Stephen Makonin (CCECE, 2016)

Mixed-Initiative for Big Data: The Intersection of Human + Visual Analytics + Prediction. - Stephen Makonin; Daniel McVeigh; Wolfgang Stuerzlinger; Khoa Tran; Fred Popowich (HICSS, 2016)

CarbonKit: a technological platform for personal carbon tracking. - Laura Guzman Flores; Stephen Makonin; Roger Alex Clapp (CoRR, 2016)

Exploiting HMM Sparsity to Perform Online Real-Time Nonintrusive Load Monitoring. - Stephen Makonin; Fred Popowich; Ivan V. Bajic; Bob Gill; Lyn Bartram (IEEE Trans. Smart Grid, 2016)

Incorporating time-of-day usage patterns into non-intrusive load monitoring. - Chinthaka Dinesh; Stephen Makonin; Ivan V. Bajic (GlobalSIP, 2017)

Load Disaggregation Based on Aided Linear Integer Programming. - Md. Zulfiquar Ali Bhotto; Stephen Makonin; Ivan V. Bajic (IEEE Trans. Circuits Syst. II Express Briefs, 2017)

RAE: The Rainforest Automation Energy Dataset for Smart Grid Meter Data Analysis. - Stephen Makonin; Z. Jane Wang 001; Chris Tumpach (Data, 2018)

CarbonKit: Designing A Personal Carbon Tracking Platform. - Laura Guzman Flores; Stephen Makonin; Roger Alex Clapp (SocialSens@CPSIoTWeek, 2019)

Wavenilm: A Causal Neural Network for Power Disaggregation from the Complex Power Signal. - Alon Harell; Stephen Makonin; Ivan V. Bajic (ICASSP, 2019)

Electricity Consumption Data Sets: Pitfalls and Opportunities. - Christoph Klemenjak; Andreas Reinhardt 001; Lucas Pereira; Stephen Makonin; Mario Bergés; Wilfried Elmenreich (BuildSys, 2019)

Performance Evaluation of Techniques for Identifying Abnormal Energy Consumption in Buildings. - Megha Gaur; Stephen Makonin; Ivan V. Bajic; Angshul Majumdar (IEEE Access, 2019)

On Metrics to Assess the Transferability of Machine Learning Models in Non-Intrusive Load Monitoring. - Christoph Klemenjak; Anthony Faustine; Stephen Makonin; Wilfried Elmenreich (CoRR, 2019)

Residential Power Forecasting Using Load Identification and Graph Spectral Clustering. - Chinthaka Dinesh; Stephen Makonin; Ivan V. Bajic (IEEE Trans. Circuits Syst. II Express Briefs, 2019)

Increasing the Accuracy and Speed of Universal Non-Intrusive Load Monitoring (UNILM) Using a Novel Real- Time Steady-State Block Filter. - Richard Jones; Alejandro Rodriguez-Silva; Stephen Makonin (ISGT, 2020)

Towards Comparability in Non-Intrusive Load Monitoring: On Data and Performance Evaluation. - Christoph Klemenjak; Stephen Makonin; Wilfried Elmenreich (ISGT, 2020)

Compressive Non-Intrusive Load Monitoring. - Shikha Singh 001; Angshul Majumdar; Stephen Makonin (BuildSys, 2020)

Stop: Exploring Bayesian Surprise to Better Train NILM. - Richard Jones; Christoph Klemenjak; Stephen Makonin; Ivan V. Bajic (NILM@SenSys, 2020)

Residential Power Forecasting Based on Affinity Aggregation Spectral Clustering. - Chinthaka Dinesh; Stephen Makonin; Ivan V. Bajic (IEEE Access, 2020)

PowerGAN: Synthesizing Appliance Power Signatures Using Generative Adversarial Networks. - Alon Harell; Richard Jones; Stephen Makonin; Ivan V. Bajic (CoRR, 2020)

Exploring Bayesian Surprise to Prevent Overfitting and to Predict Model Performance in Non-Intrusive Load Monitoring. - Richard Jones; Christoph Klemenjak; Stephen Makonin; Ivan V. Bajic (CoRR, 2020)

A Nonintrusive Load Monitoring Based on Multi-Target Regression Approach. - Bundit Buddhahai; Stephen Makonin (IEEE Access, 2021)

Investigating the performance gap between testing on real and denoised aggregates in non-intrusive load monitoring. - Christoph Klemenjak; Stephen Makonin; Wilfried Elmenreich (Energy Inform., 2021)

TraceGAN: Synthesizing Appliance Power Signatures Using Generative Adversarial Networks. - Alon Harell; Richard Jones; Stephen Makonin; Ivan V. Bajic (IEEE Trans. Smart Grid, 2021)

AMPds2: The Almanac of Minutely Power dataset (Version 2). - Stephen Makonin (IEEE DataPort, 2021)

Designing PIDs for Reproducible Science Using Time-Series Data. - Wen Ting Maria Tu; Stephen Makonin (MTSR, 2022)

EV Charging Profiles and Waveforms Dataset (EV-CPW) and Associated Power Quality Analysis. - Isla Ziyat; Alia Gola; Patrick R. Palmer; Stephen Makonin; Fred Popowich (IEEE Access, 2023)

Impact of Level 2 EV Charging on Phase Unbalance in Distribution Networks. - Isla Ziyat; Alia Gola; Patrick R. Palmer; Stephen Makonin; Fred Popowich (ISGT, 2024)

Enhancing Object Detection in Dense Images: Adjustable Non-Maximum Suppression for Single-Class Detection. - Kyeongmi Noh; Seul Ki Hong; Stephen Makonin; Yongkeun Lee (IEEE Access, 2024)