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[76]
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Zhanhong Jiang, Jonathan Francis, Anit Kumar Sahu, Sirajum Munir, Charles
Shelton, Anthony Rowe, and Mario Bergés.
Data-driven thermal model inference with ARMAX, in smart
environments, based on normalized mutual information.
In American Control Conference (ACC), 2018. IEEE, 2018.
[ bib ]
|
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[75]
|
Henning Lange and Mario Bergés.
Variational bolt: Approximate learning in factorial hidden markov
models with application to energy disaggregation.
In AAAI'18: Proceedings of the Thirty-Second AAAI Conference on
Artificial Intelligence. AAAI Press, 2018.
[ bib ]
|
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[74]
|
Yasamin H. Tari, Burcu Akinci, Mario Bergés, and Matteo Pozzi.
Predicting leaks in natural gas distribution networks using
generalized linear models.
In ASCE International Workshop on Computing in Civil Engineering
2017. ASCE, 2017.
[ bib |
DOI |
arXiv |
http ]
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[73]
|
Sirajum Munir, Ripudaman Singh Arora, Craig Hesling, Juncheng Li, Jonathan
Francis, Charles Shelton, Christopher Martin, Anthony Rowe, and Mario Bergés.
Real-time fine grained occupancy estimation using depth sensors on
arm embedded platforms.
In Real-Time and Embedded Technology and Applications Symposium
(RTAS), 2017 IEEE, pages 295--306. IEEE, 2017.
[ bib |
DOI |
.pdf ]
|
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[72]
|
Minkyung Kang, Mario Bergés, and Burcu Akinci.
Forecasting airport building electricity demand based on flight
schedule information for demand response applications.
In Transportation Research Board 96th Annual Meeting Compendium
of Papers, 2017.
[ bib ]
|
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[71]
|
Minkyung Kang, Mario Bergés, and Burcu Akinci.
Electric load prediction baseline for airport buildings: A case
study.
In Proceedings of the 2016 Construction Research
Congress, San Juan, Puerto Rico, June 2016.
[ bib ]
|
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[70]
|
Henning Lange and Mario Bergés.
The Nerual Energy Decoder: Energy Disaggregation by
Combining Binary Subcomponents.
In 3rd International Workshop on Non-Intrusive Load
Monitoring, Vancouver, Canada, May 2016.
[ bib |
.pdf ]
|
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[69]
|
Henning Lange and Mario Bergés.
Efficient Inference in Dual-emission FHMM for Energy
Disaggregation.
In Workshops at the Thirtieth AAAI Conference on Artificial
Intelligence, Phoenix, Arizona, USA, February 2016.
[ bib ]
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[68]
|
Bharathan Balaji, Arka Bhattacharya, Gabriel Fierro, Jingkun Gao, Joshua Gluck,
Dezhi Hong, Aslak Johansen, Jason Koh, Joern Ploennigs, Yuvraj Agarwal, Mario
Berges, David Culler, Rajesh Gupta, Mikkel Baun Kjærgaard, Mani
Srivastava, and Kamin Whitehouse.
Portable queries using the brick schema for building applications:
Demo abstract.
In Proceedings of the 3rd ACM International Conference on
Systems for Energy-Efficient Built Environments, BuildSys '16,
pages 219--220, New York, NY, USA, 2016. ACM.
[ bib ]
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[67]
|
Bharathan Balaji, Arka Bhattacharya, Gabriel Fierro, Jingkun Gao, Joshua Gluck,
Dezhi Hong, Aslak Johansen, Jason Koh, Joern Ploennigs, Yuvraj Agarwal, Mario
Berges, David Culler, Rajesh Gupta, Mikkel Baun Kjærgaard, Mani
Srivastava, and Kamin Whitehouse.
Brick: Towards a unified metadata schema for buildings.
In Proceedings of the 3rd ACM International Conference on
Systems for Energy-Efficient Built Environments, BuildSys '16,
New York, NY, USA, 2016. ACM.
[ bib ]
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[66]
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Henning Lange and Mario Bergés.
BOLT: Energy disaggregation by online binary matrix factorization
of current waveforms.
In Proceedings of the 3rd ACM International Conference on
Systems for Energy-Efficient Built Environments, BuildSys '16,
pages 11--20, New York, NY, USA, 2016. ACM.
[ bib ]
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[65]
|
Carl Malings, Matteo Pozzi, Kelly Klima, Elie Bou-Zeid, Prathap Ramamurthy, and
Mario Bergés.
Optimal sensor placement for urban heat risk response.
In 13th International Conference on Probabilistic Safety
Assessment and Management (PSAM 13). Seoul, Republic of Korea, Seoul,
Republic of Korea, 2016.
[ bib |
.pdf ]
|
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[64]
|
Peng Gong, Joel B. Harley, Mario Bergés, Warren R. Junker, David W. Greve, and
Irving J. Oppenheim.
Ultrasonic guided wave detection of scatterers on large clad steel
plates.
volume 9803, pages 98033O--98033O--9, 2016.
[ bib |
DOI |
http ]
|
|
[63]
|
Kyle Anderson, Mario Bergés, and José M. F. Moura.
Non-Intrusive Load Monitoring: A Power Consumption
Based Relaxation.
Orlando, Florida, USA, December 2015. IEEE.
[ bib ]
|
|
[62]
|
Suman Giri and Mario Bergés.
Virtual metering of electrical appliances through analysis of data
from contactless sensing.
Orlando, Florida, USA, December 2015. IEEE.
[ bib ]
|
|
[61]
|
Jingkun Gao, Emre Can Kara, Suman Giri, and Mario Bergés.
A feasibility study of automated plug-load identification from
high-frequency measurements.
Orlando, Florida, USA, December 2015. IEEE.
[ bib ]
|
|
[60]
|
Xuechen Lei, Minkyung Kang, Mario Bergés, and Burcu Akinci.
Assessment of Industry Foundation Classes (IFC) in
Supporting Building Energy Benchmarking.
In Proceedings of the 32nd CIB W78 Conference 2015,
Eindhoven, The Netherlands, October 2015.
[ bib ]
|
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[59]
|
Jingkun Gao, Joern Ploennigs, and Mario Bergés.
A Data-driven Meta-data Inference Framework for Building
Automation Systems.
In Proceedings of the 2Nd ACM International Conference on
Embedded Systems for Energy-Efficient Built Environments,
BuildSys '15, pages 23--32, New York, NY, USA, 2015. ACM.
[ bib |
DOI |
http ]
|
|
[58]
|
Matineh Eybpoosh, Mario Bergés, and Hae Young Noh.
Effects of damage location and size on sparse representation of
guided-waves for damage diagnosis of pipelines under varying temperature.
volume 9437, pages 94371X--94371X--9, 2015.
[ bib |
DOI |
http ]
|
|
[57]
|
Matineh Eybpoosh, Mario Bergés, and Hae Young Noh.
Nonlinear feature extraction methods for removing temperature effects
in multi-mode guided-waves in pipes.
volume 9437, pages 94371W--94371W--16, 2015.
[ bib |
DOI |
http ]
|
|
[56]
|
Matineh Eybpoosh, Mario Bergés, and Hae Young Noh.
Temperature variation effects on sparse representation of
guided-waves for damage diagnosis in pipelines.
volume 9437, pages 94371N--94371N--11, 2015.
[ bib |
DOI |
http ]
|
|
[55]
|
In-Soo Jung, Mario Bergés, and James H. Garrett Jr.
Anomaly detection on piezometer data collected from embankment dams
using physical model-based simulation.
In Proceedings of the 2014 International Conference on Computing
in Civil and Building Engineering (ICCCBE), pages 1771--1778, Orlando,
Florida, USA, June 2014. ASCE.
[ bib ]
|
|
[54]
|
Alejando Gomez Rivera, Sergio Guindon, Timothy Pianka, Neil Patel, Varun
Kasireddy, Enze Li, Jungcheng Li, Semiha Ergan, and Mario Bergés.
Lessons learned from monitoring electricity consumption in a research
lab through a capstone project course.
In Proceedings of the 2014 International Conference on Computing
in Civil and Building Engineering (ICCCBE), Orlando, Florida, USA, June
2014. ASCE.
[ bib ]
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[53]
|
Matineh Eybpoosh, Mario Bergés, and Hae Young Noh.
Investigation on the effects of environmental and operational
conditions (eoc) on diffuse-field ultrasonic guided-waves in pipes.
In Proceedings of the 2014 International Conference on Computing
in Civil and Building Engineering (ICCCBE), Orlando, Florida, USA, June
2014.
[ bib ]
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[52]
|
Alejando Gomez, Mario Bergés, and Burcu Akinci.
Exploratory study towards streamlining the identification of sensor
locations within a facility.
In Proceedings of the 2014 International Conference on Computing
in Civil and Building Engineering (ICCCBE), pages 1820--1827, Orlando,
Florida, USA, June 2014. ASCE.
[ bib ]
|
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[51]
|
Farrokh Jazizadeh, Burcin Becerik-Gerber, Mario Bergés, and Lucio Soibelman.
Unsupervised clustering of residential electricity consumption
measurements for facilitated user-centric non-intrusive load monitoring.
In Proceedings of the 2014 International Conference on Computing
in Civil and Building Engineering (ICCCBE), pages 1869--1876, Orlando,
Florida, USA, June 2014.
[ bib ]
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[50]
|
Emre Can Kara, Mario Bergés, and Gabriela Hug.
Modeling thermostatically controlled loads to engage households in
the smart grid: Lessons learned from residential refrigeration units.
In Proceedings of the 2014 International Conference on Computing
in Civil and Building Engineering (ICCCBE), pages 2032--2039, Orlando,
Florida, USA, June 2014. ASCE.
[ bib ]
|
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[49]
|
Miguel Mora, Burcu Akinci, and Mario Bergés.
Information exchange requirements to support commissioning of HVAC
and building envelope components during an energy retrofit project - a
comparative case study.
In Proceedings of the 2014 International Conference on Computing
in Civil and Building Engineering (ICCCBE), pages 1481--1488, Orlando,
Florida, USA, June 2014. ASCE.
[ bib ]
|
|
[48]
|
Jingkun Gao, Suman Giri, Emre Can Kara, and Mario Bergés.
Plaid: a public dataset of high-resoultion electrical appliance
measurements for load identification research: demo abstract.
In Proceedings of the 1st ACM Conference on Embedded Systems for
Energy-Efficient Buildings, pages 198--199. ACM, 2014.
[ bib ]
|
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[47]
|
Merthan Koc, Burcu Akinci, and Mario Bergés.
Comparison of linear correlation and a statistical dependency measure
for inferring spatial relation of temperature sensors in buildings.
In Proceedings of the 1st ACM Conference on Embedded Systems for
Energy-Efficient Buildings, pages 152--155. ACM, 2014.
[ bib ]
|
|
[46]
|
Christopher Palmer, Patrick Lazik, Maxim Buevich, Jingkun Gao, Mario Bergés,
Anthony Rowe, Ricardo Lopes Pereira, and Christopher Martin.
Mortar.io: a concrete building automation system: demo abstract.
In Proceedings of the 1st ACM Conference on Embedded Systems for
Energy-Efficient Buildings, pages 204--205. ACM, 2014.
[ bib ]
|
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[45]
|
Lucas Pereira, Nuno Nunes, and Mario Bergés.
Surf and surf-pi: a file format and api for non-intrusive load
monitoring public datasets.
In Proceedings of the 5th international conference on Future
energy systems, pages 225--226. ACM, 2014.
[ bib |
DOI |
.pdf ]
|
|
[44]
|
Kyle Anderson, Jose MF Moura, and Mario Bergés.
Unsupervised approximate power trace decomposition algorithm.
In Proceedings of the 2nd International Workshop on
Non-Intrusive Load Monitoring, pages 5--8, 2014.
[ bib ]
|
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[43]
|
Chang Liu, Joel B Harley, Mario Bergés, David W Greve, Warren R Junker, and
Irving J Oppenheim.
A robust baseline removal method for guided wave damage localization.
In SPIE Smart Structures and Materials+ Nondestructive
Evaluation and Health Monitoring, pages 90611K--90611K. International
Society for Optics and Photonics, 2014.
[ bib ]
|
|
[42]
|
Emre Can Kara, Zico Kolter, Mario Bergés, Bruce Krogh, Gabriela Hug, and
T. Yuksel.
A moving horizon state estimator in the control of thermostatically
controlled loads for demand response.
In Proceedings of the 4th International Conference on Smart Grid
Communications (SmartGridComm). IEEE, September 2013.
[ bib ]
|
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[41]
|
Chang Liu, Joel B. Harley, David Greve, Mario Bergés, and Irving Oppenheim.
Identifying pipe degradation in a highly dynamic environment using
singular value decomposition.
In Proceedings of the Ninth International Workshop on Structural
Health Monitoring, volume 1, pages 815--822, Palo Alto, California,
September 2013.
[ bib ]
|
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[40]
|
Suman Giri, Po-Hsian Lai, and Mario Bergés.
Novel techniques for ON and OFF states detection of appliances
for power estimation in non-intrusive load monitoring.
In Proceedings of the The 30th International Symposium on
Automation and Robotics in Construction and Mining (ISARC), Montreal,
Canada, August 2013.
[ bib ]
|
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[39]
|
In-Soo Jung, Jennifer Fraizer, Burcu Akinci, Mario Bergés, Semiha Ergan,
James H. Garrett, and Christopher Kelly.
Towards dam information modeling: Best practices learned from the
AEC/FM domain.
In Proceedings of the 2013 International Commission on Large
Dams (ICOLD), Seattle, WA, August 2013.
[ bib ]
|
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[38]
|
Suman Giri and Mario Bergés.
Towards automatic classification of appliances: Tackling cross talk
in EMF sensors using blind source separation techniques.
In Proceedings of the 2013 International EG-ICE Workshop on
Intelligent Computing, Vienna, Austria, July 2013.
[ bib ]
|
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[37]
|
Farrokh Jazizadeh, Burcin Becerik-Gerber, Lucio Soibelman, and Mario Bergés.
Towards passive training for non-intrusive load monitoring.
In Proceedings of the 2013 International EG-ICE Workshop on
Intelligent Computing, Vienna, Austria, July 2013.
[ bib ]
|
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[36]
|
In-Soo Jung, Mario Bergés, James H. Garrett, and Christopher Kelly.
Interpreting the dynamics of embankment dams through a time-series
analysis of multiple piezometer data using a non-parametric spectral
estimation method.
In Proceedings of the 2013 ASCE International Workshop on
Computing in Civil Engineering, Los Angeles, California USA, June 2013.
ASCE.
[ bib ]
|
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[35]
|
Emre Can Kara and Mario Bergés.
Demand response in buildings: Engaging thermostatically controlled
loads in the power grid.
In Proceedings of the 2013 ASCE International Workshop on
Computing in Civil Engineering, Los Angeles, California USA, June 2013.
ASCE.
[ bib ]
|
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[34]
|
Chang Liu, Joel B. Harley, Yujie Ying, Martin H. Altschul, Mario Bergés, David
Greve, José M. F. Moura, Irving Oppenheim, and Lucio Soibelman.
Ultrasonic monitoring of a pressurized pipe in operation.
In Proceedings of the 2013 ASCE Structures Congress,
Pittsburgh, PA, April 2013. ASCE.
[ bib ]
|
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[33]
|
Niranjini Rajagopal, Anthony Rowe, Suman Giri, and Mario Bergés.
Demo abstract: A magnetic field-based appliance metering system.
In Proceedings of the 12th ACM/IEEE International Conference
on Information Processing in Sensor Networks, Philadelphia, PA, April
2013. ACM/IEEE.
[ bib ]
|
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[32]
|
Niranjini Rajagopal, Suman Giri, Anthony Rowe, and Mario Bergés.
A magnetic field-based appliance metering system.
In ACM/IEEE Third International Conference on Cyber-Physical
Systems, Philadelphia, PA, April 2013.
[ bib ]
|
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[31]
|
Chang Liu, Joel B. Harley, Yujie Ying, Mario Bergés, James H. Garrett, David
Greve, and Irving Oppenheim.
Singular value decomposition for novelty detection in ultrasonic pipe
monitoring.
In Proceedings of the 2013 SPIE Smart Structures/NDE
Conference, volume 8692-58, San Diego, California, United States, February
2013.
[ bib ]
|
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[30]
|
Leneve Ong, Mario Bergés, and Hae Young Noh.
Exploring sequential and association rule mining for pattern-based
energy demand characterization.
In Proceedings of the 5th ACM Workshop on Embedded Systems For
Energy-Efficient Buildings, BuildSys'13, pages 25:1--25:2, New York, NY,
USA, 2013. ACM.
[ bib |
DOI |
http ]
|
|
[29]
|
Kyle Anderson, Mario Bergés, Adrian Ocneanu, Diego Benitez, and José M. F.
Moura.
Event detection for non intrusive load monitoring.
In Proceedings of the 38th Annual Conference on IEEE
Industrial Electronics Society (IECON), Montreal, Canada, November 2012.
IEEE.
[ bib ]
|
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[28]
|
Emre Can Kara, Mario Bergés, Bruce H. Krogh, and Soummya Kar.
Using smart devices for system-level management and control in the
smart grid: A reinforcement learning framework.
In Proceedings of the 3rd International Conference on Smart Grid
Communications (SmartGridComm), Tainan City, Taiwan, November 2012.
IEEE.
[ bib ]
|
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[27]
|
Kyle Anderson, Adrian Ocneanu, Diego Benitez, Derrick Carlson, Anthony Rowe,
and Mario Bergés.
BLUED: a fully labeled public dataset for Event-Based
Non-Intrusive load monitoring research.
In Proceedings of the 2nd KDD Workshop on Data Mining
Applications in Sustainability (SustKDD), Beijing, China, August 2012.
[ bib ]
|
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[26]
|
Chang Liu, Joel B. Harley, Nicholas O’Donoughue, Yujie Ying, Mario Bergés,
Martin H. Altschul, James H. Garrett, David Greve, José M. F. Moura, Irving
Oppenheim, and Lucio Soibelman.
Ultrasonic scatterer detetion in a pipe under operating conditions
using singular value decomposition.
In 39th Annual Review of Progress in Quantitative Nondestructive
Evaluation, Denver, CO, USA, July 2012.
[ bib ]
|
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[25]
|
Suman Giri and Mario Bergés.
A study on the feasibility of automated data labeling and training
using an EMF sensor in NILM platforms.
In Proceedings of the 2012 International EG-ICE Workshop on
Intelligent Computing, Herrsching, Germany, July 2012.
[ bib ]
|
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[24]
|
Xuesong Liu, Burcu Akinci, James H. Garrett, and Mario Bergés.
Requirements for a formal approach to represent information exchange
requirements of a self-managing framework for HVAC systems.
In Proceedings of the 2012 International Conference on Computing
in Civil and Building Engineering, Moscow, Russia, July 2012.
[ bib ]
|
|
[23]
|
Lucas Pereira, Filipe Quintal, Nuno J. Nunes, and Mario Bergés.
The design of a hardware-software platform for long-term energy
eco-feedback research.
In Proceedings of the 4th ACM SIGCHI Symposium on
Engineering Interactive Computing Systems (EICS), Copenhagen, Denmark,
June 2012. ACM.
[ bib |
DOI ]
|
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[22]
|
Xuesong Liu, Burcu Akinci, Mario Bergés, and James H. Garrett.
An integrated performance analysis framework for HVAC systems using
heterogeneous data models and building automation systems.
In Proceedings of the 4th ACM Workshop on Embedded Systems for
Energy-Efficiency in Building, BuildSys '12, pages 145--152, Toronto,
Canada, 2012. ACM.
[ bib ]
|
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[21]
|
Derrick R. Carlson, Mario Bergés, and H. Scott Matthews.
How many appliances does it take to…?
In 1st International Workshop on Non-Intrusive Load
Monitoring, 2012.
[ bib |
.pdf ]
|
|
[20]
|
Matineh Eybpoosh, Burcu Akinci, and Mario Bergés.
A taxonomy for depicting geospatial deviations of facilities
extracted through comparisons between point clouds and building information
models.
In ASCE International Workshop on Computing in Civil
Engineering, Clearwater Beach, FL, 2012. ASCE.
[ bib |
DOI ]
|
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[19]
|
Xuesong Liu, Burcu Akinci, Mario Bergés, and James H. Garrett Jr.
Exploration and comparison of approaches for integrating
heterogeneous information sources to support performance analysis of HVAC
systems.
In ASCE International Workshop on Computing in Civil
Engineering, Clearwater Beach, FL, 2012. ASCE.
[ bib ]
|
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[18]
|
Matineh Eybpoosh, Burcu Akinci, and Mario Bergés.
Effects of planning and data collection approaches on the quality of
processed laser scanned data: Lessons learned.
In Construction Research Congress, West Lafayette, IN, 2012.
[ bib |
.pdf ]
|
|
[17]
|
Hugo Goncalves, Adrian Ocneanu, and Mario Bergés.
Unsupervised disaggregation of appliances using aggregated
consumption data.
In 1st KDD Workshop on Data Mining Applications in
Sustainability (SustKDD), August 2011.
[ bib |
.pdf ]
|
|
[16]
|
Mario Bergés, Emre Can Kara, Ethan Goldman, and Anthony Rowe.
Towards automated detection and state tracking of artificial light
sources from sequential pictures inside buildings.
In International Workshop on Intelligent Computing in
Engineering, Enschede, The Netherlands, July 2011.
[ bib |
.pdf ]
|
|
[15]
|
N.J. Nunes, L. Pereira, F. Quintal, and Mario Bergés.
Deploying and evaluating the effectiveness of energy eco-feedback
through a low-cost NILM solution.
In Proceedings of the 6th International Conference on Persuasive
Technology, Colombus, OH, June 2011.
[ bib ]
|
|
[14]
|
Yuanwei Jin, Eniye Tebekaemi, Mario Bergés, and Lucio Soibelman.
Robust adaptive event detection in non-intrusive load monitoring for
energy aware smart facilities.
In Proceedings of the IEEE International Conference on
Acoustics, Speech and Signal Processing (ICASSP), pages 4340 --4343, May
2011.
[ bib ]
|
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[13]
|
Xuesong Liu, Burcu Akinci, James H. Garrett Jr, and Mario Bergés.
Requirements and development of a computerized approach for analyzing
functional relationships among HVAC components using building information
models.
In CIB W078 - W102, France, 2011.
[ bib ]
|
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[12]
|
Mario Bergés and Anthony Rowe.
Poster abstract: Appliance classification and energy management using
Multi-Modal sensing.
In Proceedings of the 3rd ACM Workshop on Embedded Sensing
Systems for Energy-Efficiency in Building, BuildSys '11, Seattle, WA,
2011. ACM.
[ bib ]
|
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[11]
|
Yuanwei Jin, Eniye Tebekaemi, Mario Bergés, and Lucio Soibelman.
A time-frequency approach for event detection in non-intrusive load
monitoring.
In Proceedings of the Signal Processing, Sensor Fusion, and
Target Recognition XX, pages 80501U--80501U--13, Orlando, Florida, USA,
2011.
[ bib |
DOI |
http ]
|
|
[10]
|
X. Liu, B. Akinci, J.H. Garrett Jr, and Mario Bergés.
Requirements for an integrated framework of Self-Managing HVAC
systems.
In ASCE International Workshop on Computing in Civil
Engineering, Miami, FL, 2011. ASCE.
[ bib |
http ]
|
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[9]
|
Mario Bergés, Lucio Soibelman, and H. Scott Matthews.
Building commissioning as an opportunity for training Non-Intrusive
load monitoring algorithms.
In Proceedings of the 6th International Conference on Innovation
in Architecture, Engineering and Construction (AEC), State College, PA,
July 2010.
[ bib |
.pdf ]
|
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[8]
|
Mario Bergés, Lucio Soibelman, and H. Scott Matthews.
Leveraging data from environmental sensors to enhance electrical load
disaggregation algorithms.
In Proceedings of the 13th International Conference on Computing
in Civil and Building Engineering, Nottingham, UK, June 2010.
[ bib |
.pdf ]
|
|
[7]
|
Anthony Rowe, Mario Bergés, and Raj Rajkumar.
Contactless sensing of appliance state transitions through variations
in electromagnetic fields.
In Proceedings of the 2nd ACM Workshop on Embedded Sensing
Systems for Energy-Efficiency in Building, BuildSys '10, page 19–24,
New York, NY, USA, 2010. ACM.
ACM ID: 1878437.
[ bib |
DOI |
http ]
|
|
[6]
|
Filipe Quintal, Nuno J Nunes, Adrian Ocneanu, and Mario Bergés.
SINAIS: home consumption package: a low-cost eco-feedback
energy-monitoring research platform.
In Proceedings of the 8th ACM Conference on Designing
Interactive Systems, DIS '10, page 419–421, New York, NY, USA, 2010.
ACM.
ACM ID: 1858252.
[ bib |
DOI |
http ]
|
|
[5]
|
Mario Bergés, H. Scott Matthews, and Lucio Soibelman.
A system for disaggregating residential electricity consumption by
appliance.
In Sustainable Systems and Technology (ISSST), 2010 IEEE
International Symposium on, page 1, 2010.
[ bib |
DOI |
http ]
|
|
[4]
|
Mario Bergés, Lucio Soibelman, H. Scott Matthews, and Ethan Goldman.
Evaluating the electric consumption of residential buildings: Current
practices and future prospects.
In Proceedings of the 2010 Construction Research Congress,
pages 8--8, Banff, Alberta, Canada, 2010.
[ bib |
DOI |
http ]
|
|
[3]
|
Anthony Rowe, Mario Bergés, Gaurav Bhatia, Ethan Goldman, R. Rajkumar, and
L. Soibelman.
Demo abstract: The sensor andrew infrastructure for large-scale
campus-wide sensing and actuation.
In Information Processing in Sensor Networks, 2009. IPSN 2009.
International Conference on, pages 415 --416, April 2009.
[ bib |
.pdf ]
|
|
[2]
|
Mario Bergés, Ethan Goldman, H. Scott Matthews, and Lucio Soibelman.
Learning systems for electric consumption of buildings.
In ASCE International Workshop on Computing in Civil
Engineering, Austin, Texas, USA, 2009. ASCE.
[ bib |
.pdf ]
|
|
[1]
|
H. Scott Matthews, Lucio Soibelman, Mario Bergés, and Ethan Goldman.
Automatically disaggregating the total electrical load in residential
buildings: a profile of the required solution.
In International Workshop on Intelligent Computing in
Engineering, page 381–389, 2008.
[ bib |
.pdf ]
|