Model-based Energy Management for Sustainable Buildings

The project developed a model-based paradigm to design automated load discovery, monitoring, and scheduling techniques that are low in cost, highly transparent, and privacy preserving. The project bootstrapped an online data repository to enable new techniques for modeling loads based on their energy usage. The project leveraged these models to automatically discover the set of loads a building operates, and monitor their electricity usage using only aggregate electricity recorded by a building smart meter. This project was funded by the National Science Foundation under a NSF CAREER grant CNS-1253063.

Publications

Building Virtual Power Meters for Online Load Tracking

Sean Barker, Sandeep Kalra, David Irwin, Prashant ShenoyTCPS 2019

WattHome: A Data-driven Approach for Energy Efficiency Analytics at City-scale

Srini Iyengar, Stephen Lee, David Irwin, Prashant Shenoy, Benjamin WeilKDD 2018

Analyzing Distribution Transformers at City Scale and the Impact of EVs and Storage

John Wamburu, Stephen Lee, Prashant Shenoy, and David Irwine-Energy 2018

Inferring Smart Schedules for Dumb Thermostats

Srini Iyengar, Sandeep Kalra, Anushree Ghosh, David Irwin, Prashant Shenoy, and Benjamin MarlinTCPS 2018

Black-box Solar Performance Modeling: Comparing Physical, Machine Learning, and Hybrid Approaches

Dong Chen and David IrwinGreenmetrics 2017

Pervasive Energy Monitoring and Control through Low-Bandwidth Power Line Communication

Sean Barker, David Irwin, and Prashant ShenoyIEEE IoT 2017

iSchedule: Campus-scale HVAC Schedule via Mobile WiFi Monitoring

Amee Trivedi, Prashant Shenoy, Deepak Ganesan, and David Irwine-Energy 2017

Distributed Rate Control for Smart Solar-powered Systems

Stephen Lee, Srinivasan Iyengar, David Irwin, and Prashant Shenoye-Energy 2017

A Cloud based Black Box Solar Predictor for Smart Homes

Srinivasan Iyengar, Navin Sharma, David Irwin, Prashant Shenoy, and Krithi RamamrithamTCPS 2017

Enabling Distributed Energy Storage by Incentivizing Small Load Shifts

David Irwin, Srinivasan Iyengar, Stephen Lee, Aditya Mishra, Prashant Shenoy, and Ye XuTCPS 2017

Minimizing Transmission Loss in Smart Microgrids by Sharing Renewable Energy

Zhichuan Huang, Ting Zhu, David Irwin, Aditya Mishra, Daniel Menasche, and Prashant ShenoyTCPS 2017

Analyzing Energy Usage on a City-scale using Utility Smart Meters

Srini Iyengar, David Irwin, and Prashant ShenoyBuildSys 2016

SmartSim: A Device-Accurate Smart Home Simulator for Energy Analytics

Dong Chen, David Irwin, and Prashant ShenoySmartGridComm 2016

AutoPlug: An Automated Metadata Service for Smart Outlets

Pradeep Lambati and David IrwinIGSC 2016

Shared Solar-powered EV Charging Stations: Feasibility and Benefits

Stephen Lee, Srini Iyengar, David Irwin, and Prashant ShenoyIGSC 2016

Non-Intrusive Model Detection: Automated Modeling of Residential Electrical Loads

Srini Iyengar, David Irwin, and Prashant Shenoye-Energy 2016

iProgram: Inferring Smart Schedules for Dumb Thermostats

Srinivasan Iyengar, Sandeep Kalra, Anushree Ghosh, David Irwin, Prashant Shenoy, and Benjamin MarlinBuildSys 2015

Integrating Energy Storage in Electricity Distribution Networks

Aditya Mishra, Ramesh Sitaraman, David Irwin, Ting Zhu, Prashant Shenoy, Bhavana Dalvi, and Stephen Leee-Energy 2015

Preventing Occupancy Detection from Smart Meter Data

Dong Chen, Sandeep Kalra, David Irwin, Prashant Shenoy, and Jeannie AlbrechtIEEE ToSG 2015

PowerPlay: Creating Virtual Power Meters through Online Load Tracking in Smart Homes

Sean Barker, Sandeep Kalra, David Irwin, and Prashant ShenoyBuildSys 2014Selected as one of top three Best Papers at BuildSys!

SolarCast - A Cloud-based Black Box Solar Predictor for Smart Homes

Srini Iyengar, Navin Sharma, David Irwin, Prashant Shenoy, and Krithi RamamkrithamBuildSys 2014

Minimizing Electricity Costs by Sharing Energy in Sustainable Microgrids

Zhichuan Huang, Jikui Su, Ting Zhu, Ankur Sharma, Ameya Ambegaonkar, Yu Gu, Aditya Mishra, David Irwin, and Prashant ShenoyBuildSys 2014Selected as one of top three Best Papers at BuildSys!

Non-Intrusive Load Identification for Smart Outlets

Sean Barker, Moaj Musthag, David Irwin, and Prashant ShenoySmartGridComm 2014

Leveraging Weather Forecasts in Renewable Energy Systems

Navin Sharma, Jeremy Gummeson, David Irwin, Ting Zhu, and Prashant ShenoySUSCOM 2014

Empirical Characterization, Modeling, and Analysis of Smart Meter Data

Sean Barker, Sandeep Kalra, David Irwin, and Prashant ShenoyJSAC 2014

NILM Redux: The Case for Emphasizing Applications over Accuracy

Sean Barker, Sandeep Kalra, David Irwin, and Prashant ShenoyNILM 2014

Incentivizing Advanced Load Scheduling in Smart Homes

Ye Xu, David Irwin, and Prashant ShenoyBuildSys 2013

Non-Intrusive Occupancy Monitoring using Smart Meters

Dong Chen, Sean Barker, Adarsh Subbaswamy, David Irwin, and Prashant ShenoyBuildSys 2013

Empirical Characterization and Modeling of Electrical Loads in Smart Homes

Sean Barker, Sandeep Kalra, David Irwin, and Prashant ShenoyIGCC 2013

Scaling Distributed Energy Storage for Grid Peak Reduction

Aditya Mishra, David Irwin, Prashant Shenoy, and Ting Zhue-Energy 2013Best Paper Award Runner-up!

GreenCharge: Managing Renewable Energy in Smart Buildings

Aditya Mishra, David Irwin, Prashant Shenoy, Jim Kurose, and Ting ZhuJSAC 2013

Sharing Renewable Energy in Smart Microgrids

Ting Zhu, Zhichuan Huang, Ankur Sharma, Jikui Su, David Irwin, Aditya Mishra, Daniel Menasche, and Prashant ShenoyICCPS 2013