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Mario Berges
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2020 – today
- 2024
- [j18]Sizhe Ma, Katherine A. Flanigan, Mario Bergés:
State-of-the-art review and synthesis: A requirement-based roadmap for standardized predictive maintenance automation using digital twin technologies. Adv. Eng. Informatics 62: 102800 (2024) - [j17]Nicolas Gratius, Zhichen Wang, Min Young Hwang, Yu Hou, Annika Rollock, Cory George, Mario Bergés, Burcu Akinci:
Digital Twin Technologies for Autonomous Environmental Control and Life Support Systems. J. Aerosp. Inf. Syst. 21(4): 332-347 (2024) - [c56]Maral Doctorarastoo, Cheyu Lin, Katherine A. Flanigan, Mario Bergés:
A Bayesian Network Approach for Predicting Social Interactions in Shared Spatial Environments. BuildSys 2024 - [c55]Ozan Baris Mulayim, Pengrui Quan, Liying Han, Xiaomin Ouyang, Dezhi Hong, Mario Bergés, Mani Srivastava:
Are Time Series Foundation Models Ready to Revolutionize Predictive Building Analytics? BuildSys 2024 - [c54]Anand Krishnan Prakash, Flavia de Andrade Pereira, Mario Bergés, Marco Pritoni, Burcu Akinci:
Ontologies at Work: Analyzing Information Requirements for Model Predictive Control in Buildings. BuildSys 2024 - [c53]Ozan Baris Mulayim, Mario Bergés:
Leveraging Grey Box Models for Enhanced Energy Flexibility in Centralized and Decentralized Single-Zone Multi-Node Systems. SmartGridComm 2024: 264-270 - [i15]Ozan Baris Mulayim, Edson Severnini, Mario Bergés:
Unmasking the Role of Remote Sensors in Comfort, Energy and Demand Response. CoRR abs/2404.15368 (2024) - [i14]Sizhe Ma, Katherine A. Flanigan, Mario Bergés:
State-of-the-Art Review: The Use of Digital Twins to Support Artificial Intelligence-Guided Predictive Maintenance. CoRR abs/2406.13117 (2024) - 2023
- [j16]Yanyu Wang, Pingbo Tang, Kaijian Liu, Jiannan Cai, Ran Ren, Jacob J. Lin, Hubo Cai, Jiansong Zhang, Nora M. El-Gohary, Mario Berges, Mani Golparvar Fard:
Characterizing Data Sharing in Civil Infrastructure Engineering: Current Practice, Future Vision, Barriers, and Promotion Strategies. J. Comput. Civ. Eng. 37(2) (2023) - [c52]Ozan Baris Mulayim, Mario Bergés:
Unmasking the Thermal Behavior of Single-Zone Multi-Room Houses: An Empirical Study. BuildSys 2023: 21-30 - [c51]Min Young Hwang, Burcu Akinci, Mario Berges:
FSBrick: An information model for representing fault-symptom relationships in HVAC systems. BuildSys 2023: 69-78 - [c50]Isabel Madeleine Runge, Burcu Akinci, Mario Bergés:
Challenges in Cyber-Physical Attack Detection for Building Automation Systems. BuildSys 2023: 236-239 - [c49]Maral Doctorarastoo, Katherine A. Flanigan, Mario Bergés, Christopher McComb:
Modeling Human Behavior in Cyber-Physical-Social Infrastructure Systems. BuildSys 2023: 370-376 - [c48]Maral Doctorarastoo, Katherine A. Flanigan, Mario Bergés, Christopher McComb:
Exploring the Potentials and Challenges of Cyber-Physical-Social Infrastructure Systems for Achieving Human-Centered Objectives. BuildSys 2023: 385-389 - [i13]Sizhe Ma, Katherine A. Flanigan, Mario Bergés:
State-of-the-Art Review and Synthesis: A Requirement-based Roadmap for Standardized Predictive Maintenance Automation Using Digital Twin Technologies. CoRR abs/2311.06993 (2023) - 2022
- [i12]Brian Kunzer, Mario Berges, Artur Dubrawski:
The Digital Twin Landscape at the Crossroads of Predictive Maintenance, Machine Learning and Physics Based Modeling. CoRR abs/2206.10462 (2022) - 2021
- [j15]Byeongseong Choi, Mario Bergés, Elie Bou-Zeid, Matteo Pozzi:
Short-term probabilistic forecasting of meso-scale near-surface urban temperature fields. Environ. Model. Softw. 145: 105189 (2021) - [c47]Bingqing Chen, Priya L. Donti, Kyri Baker, J. Zico Kolter, Mario Bergés:
Enforcing Policy Feasibility Constraints through Differentiable Projection for Energy Optimization. e-Energy 2021: 199-210 - [c46]Elvin Vindel Pinto, Mario Bergés, Burcu Akinci, Olga Kavvada:
Demand flexibility potential model for multi-zone commercial buildings using internal HVAC system states. BuildSys 2021: 176-179 - [i11]Bingqing Chen, Priya L. Donti, Kyri Baker, J. Zico Kolter, Mario Berges:
Enforcing Policy Feasibility Constraints through Differentiable Projection for Energy Optimization. CoRR abs/2105.08881 (2021) - [i10]Jingxiao Liu, Susu Xu, Mario Bergés, Hae Young Noh:
HierMUD: Hierarchical Multi-task Unsupervised Domain Adaptation between Bridges for Drive-by Damage Diagnosis. CoRR abs/2107.11435 (2021) - 2020
- [j14]Alan Mazankiewicz, Klemens Böhm, Mario Berges:
Incremental Real-Time Personalization in Human Activity Recognition Using Domain Adaptive Batch Normalization. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 4(4): 144:1-144:20 (2020) - [c45]Jingxiao Liu, Bingqing Chen, Siheng Chen, Mario Bergés, Jacobo Bielak, Hae Young Noh:
Damage-Sensitive and Domain-Invariant Feature Extraction for Vehicle-Vibration-Based Bridge Health Monitoring. ICASSP 2020: 3007-3011 - [c44]Bingqing Chen, Jingxiao Liu, Henning Lange, Mario Bergés:
Dyna-Bolt: Domain Adaptive Binary Factorization Of Current Waveforms For Energy Disaggregation. ICASSP 2020: 3262-3266 - [c43]Bingqing Chen, Jonathan Francis, Marco Pritoni, Soummya Kar, Mario Bergés:
COHORT: Coordination of Heterogeneous Thermostatically Controlled Loads for Demand Flexibility. BuildSys 2020: 31-40 - [c42]Bingqing Chen, Weiran Yao, Jonathan Francis, Mario Bergés:
Learning a Distributed Control Scheme for Demand Flexibility in Thermostatically Controlled Loads. SmartGridComm 2020: 1-7 - [i9]Jingxiao Liu, Bingqing Chen, Siheng Chen, Mario Berges, Jacobo Bielak, Hae Young Noh:
Damage-sensitive and domain-invariant feature extraction for vehicle-vibration-based bridge health monitoring. CoRR abs/2002.02105 (2020) - [i8]Alan Mazankiewicz, Klemens Böhm, Mario Bergés:
Incremental Real-Time Personalization in Human Activity Recognition Using Domain Adaptive Batch Normalization. CoRR abs/2005.12178 (2020) - [i7]Jingxiao Liu, Mario Bergés, Jacobo Bielak, Hae Young Noh:
Knowledge transfer between bridges for drive-by monitoring using adversarial and multi-task learning. CoRR abs/2006.03641 (2020) - [i6]Zhanhong Jiang, Jonathan Francis, Anit Kumar Sahu, Sirajum Munir, Charles Shelton, Anthony Rowe, Mario Bergés:
Data-driven Thermal Model Inference with ARMAX, in Smart Environments, based on Normalized Mutual Information. CoRR abs/2006.06088 (2020) - [i5]Bingqing Chen, Weiran Yao, Jonathan Francis, Mario Bergés:
Learning a Distributed Control Scheme for Demand Flexibility in Thermostatically Controlled Loads. CoRR abs/2007.00791 (2020) - [i4]Bingqing Chen, Jonathan Francis, Marco Pritoni, Soummya Kar, Mario Bergés:
COHORT: Coordination of Heterogeneous Thermostatically Controlled Loads for Demand Flexibility. CoRR abs/2010.03659 (2020) - [i3]Henning Lange, Bingqing Chen, Mario Berges, Soummya Kar:
Learning to Solve AC Optimal Power Flow by Differentiating through Holomorphic Embeddings. CoRR abs/2012.09622 (2020)
2010 – 2019
- 2019
- [j13]Mario Berges, Constantine Samaras:
A Path Forward for Smart Cities and IoT Devices. IEEE Internet Things Mag. 2(2): 2-4 (2019) - [c41]Henning Lange, Mario Bergés, J. Zico Kolter:
Neural Variational Identification and Filtering for Stochastic Non-linear Dynamical Systems with Application to Non-intrusive Load Monitoring. ICASSP 2019: 8340-8344 - [c40]Fabricio Flores, Sirajum Munir, Matias Quintana, Anand Krishnan Prakash, Mario Bergés:
Dataset: Occupancy Detection, Tracking, and Estimation Using a Vertically Mounted Depth Sensor. DATA@SenSys 2019: 7-9 - [c39]Sirajum Munir, Jonathan Francis, Matias Quintana, Nadine von Frankenberg, Mario Bergés:
Dataset: Inferring Thermal Comfort using Body Shape Information Utilizing Depth Sensors. DATA@SenSys 2019: 13-15 - [c38]Jonathan Francis, Matias Quintana, Nadine von Frankenberg, Sirajum Munir, Mario Bergés:
OccuTherm: Occupant Thermal Comfort Inference using Body Shape Information. BuildSys 2019: 81-90 - [c37]Shijia Pan, Mario Berges, Juleen Rodakowski, Pei Zhang, Hae Young Noh:
Fine-Grained Recognition of Activities of Daily Living through Structural Vibration and Electrical Sensing. BuildSys 2019: 149-158 - [c36]Christoph Klemenjak, Andreas Reinhardt, Lucas Pereira, Stephen Makonin, Mario Bergés, Wilfried Elmenreich:
Electricity Consumption Data Sets: Pitfalls and Opportunities. BuildSys 2019: 159-162 - [c35]Bingqing Chen, Zicheng Cai, Mario Bergés:
Gnu-RL: A Precocial Reinforcement Learning Solution for Building HVAC Control Using a Differentiable MPC Policy. BuildSys 2019: 316-325 - 2018
- [j12]Jingkun Gao, Mario Bergés:
A large-scale evaluation of automated metadata inference approaches on sensors from air handling units. Adv. Eng. Informatics 37: 14-30 (2018) - [c34]Henning Lange, Mario Berges:
Variational BOLT: Approximate Learning in Factorial Hidden Markov Models With Application to Energy Disaggregation. AAAI 2018: 792-799 - [c33]Zhanhong Jiang, Jonathan Francis, Anit Kumar Sahu, Sirajum Munir, Charles Shelton, Anthony Rowe, Mario Berges:
Data-driven Thermal Model Inference with ARMAX, in Smart Environments, based on Normalized Mutual Information. ACC 2018: 4634-4639 - [c32]Mario Bergés, Henning Lange, Jingkun Gao:
Data-Driven Operation of Building Systems: Present Challenges and Future Prospects. EG-ICE 2018: 23-52 - [c31]Leen De Baets, Tom Dhaene, Dirk Deschrijver, Mario Berges, Chris Develder:
VI-Based Appliance Classification Using Aggregated Power Consumption Data. SMARTCOMP 2018: 179-186 - 2017
- [j11]Suman Giri, Mario Berges:
An error correction framework for sequences resulting from known state-transition models in Non-Intrusive Load Monitoring. Adv. Eng. Informatics 32: 152-162 (2017) - [j10]Carl Malings, Matteo Pozzi, Kelly Klima, Mario Berges, Elie Bou-Zeid, Prathap Ramamurthy:
Surface heat assessment for developed environments: Probabilistic urban temperature modeling. Comput. Environ. Urban Syst. 66: 53-64 (2017) - [c30]Leen De Baets, Chris Develder, Tom Dhaene, Dirk Deschrijver, Jingkun Gao, Mario Berges:
Handling imbalance in an extended PLAID. SustainIT 2017: 32-36 - [c29]Sirajum Munir, Ripudaman Singh Arora, Craig Hesling, Juncheng Li, Jonathan Francis, Charles Shelton, Christopher Martin, Anthony Rowe, Mario Berges:
Real-Time Fine Grained Occupancy Estimation Using Depth Sensors on ARM Embedded Platforms. RTAS 2017: 295-306 - [c28]Sirajum Munir, Le Tran, Jonathan Francis, Charles Shelton, Ripudaman Singh Arora, Craig Hesling, Matias Quintana, Anand Krishnan Prakash, Anthony Rowe, Mario Berges:
FORK: fine grained occupancy estimatoR using kinect on ARM embedded platforms. BuildSys 2017: 33:1-33:2 - [c27]Matias Quintana, Henning Lange, Mario Bergés:
Design and implementation of a low-cost arduino-based high-frequency AC waveform meter board for the raspberry pi. BuildSys 2017: 34:1-34:2 - [c26]Kin Sum Liu, Elvin Vindel Pinto, Sirajum Munir, Jonathan Francis, Charles Shelton, Mario Berges, Shan Lin:
COD: a dataset of commercial building occupancy traces. BuildSys 2017: 50:1-50:2 - 2016
- [c25]Henning Lange, Mario Berges:
Efficient Inference in Dual-Emission FHMM for Energy Disaggregation. AAAI Workshop: AI for Smart Grids and Smart Buildings 2016 - [c24]Henning Lange, Mario Berges:
BOLT: Energy Disaggregation by Online Binary Matrix Factorization of Current Waveforms. BuildSys 2016: 11-20 - [c23]Bharathan Balaji, Arka Aloke Bhattacharya, Gabriel Fierro, Jingkun Gao, Joshua Gluck, Dezhi Hong, Aslak Johansen, Jason Koh, Joern Ploennigs, Yuvraj Agarwal, Mario Berges, David E. Culler, Rajesh K. Gupta, Mikkel Baun Kjærgaard, Mani B. Srivastava, Kamin Whitehouse:
Brick: Towards a Unified Metadata Schema For Buildings. BuildSys 2016: 41-50 - [c22]Bharathan Balaji, Arka Aloke Bhattacharya, Gabe Fierro, Jingkun Gao, Joshua Gluck, Dezhi Hong, Aslak Johansen, Jason Koh, Joern Ploennigs, Yuvraj Agarwal, Mario Berges, David E. Culler, Rajesh Gupta, Mikkel Baun Kjærgaard, Mani B. Srivastava, Kamin Whitehouse:
Portable Queries Using the Brick Schema for Building Applications: Demo Abstract. BuildSys 2016: 219-220 - 2015
- [j9]In-Soo Jung, Mario Berges, James H. Garrett Jr., Barnabás Póczos:
Exploration and evaluation of AR, MPCA and KL anomaly detection techniques to embankment dam piezometer data. Adv. Eng. Informatics 29(4): 902-917 (2015) - [j8]Emre Can Kara, Mario Berges, Gabriela Hug:
Impact of Disturbances on Modeling of Thermostatically Controlled Loads for Demand Response. IEEE Trans. Smart Grid 6(5): 2560-2568 (2015) - [c21]Kyle D. Anderson, José M. F. Moura, Mario Berges:
Non-intrusive load monitoring: A power consumption based relaxation. GlobalSIP 2015: 215-219 - [c20]Jingkun Gao, Emre Can Kara, Suman Giri, Mario Berges:
A feasibility study of automated plug-load identification from high-frequency measurements. GlobalSIP 2015: 220-224 - [c19]Suman Giri, Mario Berges:
Virtual metering of electrical appliances through analysis of data from contactless sensing. GlobalSIP 2015: 348-352 - [c18]Jingkun Gao, Joern Ploennigs, Mario Berges:
A Data-driven Meta-data Inference Framework for Building Automation Systems. BuildSys 2015: 23-32 - [i2]Emre Can Kara, Jason S. MacDonald, Douglas Black, Mario Berges, Gabriela Hug, Sila Kiliccote:
Estimating the Benefits of Electric Vehicle Smart Charging at Non-Residential Locations: A Data-Driven Approach. CoRR abs/1503.01052 (2015) - 2014
- [j7]Farrokh Jazizadeh, Burcin Becerik-Gerber, Mario Berges, Lucio Soibelman:
An unsupervised hierarchical clustering based heuristic algorithm for facilitated training of electricity consumption disaggregation systems. Adv. Eng. Informatics 28(4): 311-326 (2014) - [j6]John E. Taylor, Mario Bergés:
Special Issue on Computational Approaches to Understand and Reduce Energy Consumption in the Built Environment. J. Comput. Civ. Eng. 28(1): 1 (2014) - [j5]Xuesong Liu, Burcu Akinci, Mario Bergés, James H. Garrett Jr.:
Domain-Specific Querying Formalisms for Retrieving Information about HVAC Systems. J. Comput. Civ. Eng. 28(1): 40-49 (2014) - [c17]Lucas Pereira, Nuno Jardim Nunes, Mario Berges:
SURF and SURF-PI: a file format and API for non-intrusive load monitoring public datasets. e-Energy 2014: 225-226 - [c16]Merthan Koc, Burcu Akinci, Mario Berges:
Comparison of linear correlation and a statistical dependency measure for inferring spatial relation of temperature sensors in buildings. BuildSys 2014: 152-155 - [c15]Jingkun Gao, Suman Giri, Emre Can Kara, Mario Berges:
PLAID: a public dataset of high-resoultion electrical appliance measurements for load identification research: demo abstract. BuildSys 2014: 198-199 - [c14]Christopher Palmer, Patrick Lazik, Maxim Buevich, Jingkun Gao, Mario Berges, Anthony Rowe, Ricardo Lopes Pereira, Christopher Martin:
Mortar.io: a concrete building automation system: demo abstract. BuildSys 2014: 204-205 - [i1]Nipun Batra, Oliver Parson, Mario Berges, Amarjeet Singh, Alex Rogers:
A comparison of non-intrusive load monitoring methods for commercial and residential buildings. CoRR abs/1408.6595 (2014) - 2013
- [j4]Suman Giri, Mario Berges, Anthony Rowe:
Towards automated appliance recognition using an EMF sensor in NILM platforms. Adv. Eng. Informatics 27(4): 477-485 (2013) - [j3]Xuesong Liu, Burcu Akinci, Mario Berges, James H. Garrett Jr.:
Extending the information delivery manual approach to identify information requirements for performance analysis of HVAC systems. Adv. Eng. Informatics 27(4): 496-505 (2013) - [c13]Niranjini Rajagopal, Suman Giri, Mario Berges, Anthony Rowe:
A magnetic field-based appliance metering system. ICCPS 2013: 229-238 - [c12]Niranjini Rajagopal, Suman Giri, Mario Berges, Anthony Rowe:
Demo abstract: a magnetic field-based appliance metering system. IPSN 2013: 307-308 - [c11]Leneve Ong, Mario Berges, Hae Young Noh:
Exploring Sequential and Association Rule Mining for Pattern-based Energy Demand Characterization. BuildSys@SenSys 2013: 25:1-25:2 - [c10]Emre Can Kara, J. Zico Kolter, Mario Berges, Bruce H. Krogh, Gabriela Hug, Tugçe Yüksel:
A moving horizon state estimator in the control of thermostatically controlled loads for demand response. SmartGridComm 2013: 253-258 - 2012
- [c9]Lucas Pereira, Filipe Quintal, Nuno Jardim Nunes, Mario Berges:
The design of a hardware-software platform for long-term energy eco-feedback research. EICS 2012: 221-230 - [c8]Kyle D. Anderson, Mario E. Berges, Adrian Ocneanu, Diego S. Benítez, José M. F. Moura:
Event detection for Non Intrusive load monitoring. IECON 2012: 3312-3317 - [c7]Xuesong Liu, Burcu Akinci, Mario Berges, James H. Garrett Jr.:
An integrated performance analysis framework for HVAC systems using heterogeneous data models and building automation systems. BuildSys@SenSys 2012: 145-152 - [c6]Emre Can Kara, Mario Berges, Bruce H. Krogh, Soummya Kar:
Using smart devices for system-level management and control in the smart grid: A reinforcement learning framework. SmartGridComm 2012: 85-90 - 2011
- [j2]Anthony Rowe, Mario Berges, Gaurav Bhatia, Ethan Goldman, Ragunathan Rajkumar, James H. Garrett Jr., José M. F. Moura, Lucio Soibelman:
Sensor Andrew: Large-scale campus-wide sensing and actuation. IBM J. Res. Dev. 55(1): 6 (2011) - [j1]Mario Berges, Ethan Goldman, H. Scott Matthews, Lucio Soibelman, Kyle D. Anderson:
User-Centered Nonintrusive Electricity Load Monitoring for Residential Buildings. J. Comput. Civ. Eng. 25(6): 471-480 (2011) - [c5]Yuanwei Jin, Eniye Tebekaemi, Mario Berges, Lucio Soibelman:
Robust adaptive event detection in non-intrusive load monitoring for energy aware smart facilities. ICASSP 2011: 4340-4343 - [c4]Mario Berges, Anthony Rowe:
Appliance classification and energy management using multi-modal sensing. BuildSys@SenSys 2011: 51-52 - 2010
- [c3]Filipe Quintal, Nuno Jardim Nunes, Adrian Ocneanu, Mario Berges:
SINAIS: home consumption package: a low-cost eco-feedback energy-monitoring research platform. Conference on Designing Interactive Systems 2010: 419-421 - [c2]Anthony Rowe, Mario Berges, Raj Rajkumar:
Contactless sensing of appliance state transitions through variations in electromagnetic fields. BuildSys@SenSys 2010: 19-24
2000 – 2009
- 2009
- [c1]Anthony Rowe, Mario Berges, Gaurav Bhatia, Ethan Goldman, Ragunathan Rajkumar, Lucio Soibelman:
Demo abstract: The Sensor Andrew infrastructure for large-scale campus-wide sensing and actuation. IPSN 2009: 415-416
Coauthor Index
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last updated on 2024-12-10 21:43 CET by the dblp team
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