publications

2023

  1. Longitudinal thermal imaging for scalable non-residential HVAC and occupant behaviour characterization
    Ramani, Vasantha, Martin, Miguel, Arjunan, Pandarasamy, Chong, Adrian, Poolla, Kameshwar, and Miller, Clayton
    Energy and Buildings 2023
  2. ACM CODS-COMAD
    Paddy Doctor: A Visual Image Dataset for Automated Paddy Disease Classification and Benchmarking
    Kiruba, Briskline, and Arjunan, Pandarasamy
    In Proceedings of the 6th Joint International Conference on Data Science & Management of Data (10th ACM IKDD CODS and 28th COMAD) 2023

2022

  1. The way forward for building energy benchmarking in India
    Kalluri, Balaji, Dhariwal, Jay, Arjunan, Pandarasamy, Anand, Prashant, and Deb, Chirag
    In Proceedings of the 9th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation 2022
  2. Trimming outliers using trees: winning solution of the large-scale energy anomaly detection (LEAD) competition
    Fu, Chun, Arjunan, Pandarasamy, and Miller, Clayton
    In Proceedings of the 9th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation 2022
  3. eptk: energy prediction toolkit
    Prabhu, Hardik, and Arjunan, Pandarasamy
    In Proceedings of the 9th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation 2022
  4. XENIA: eXplainable ENergy Informatics and Attributes for building energy benchmarking
    Joshi, Kevin, Jana, Arnab, Arjunan, Pandarasamy, and Ramamritham, Krithi
    In Proceedings of the 9th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation 2022
  5. Causal 1-D convolutional neural networks based chiller fault detection and diagnosis
    Arjunan, Pandarasamy, Srinivasan, Seshadhri, and Poolla, Kameshwar
    In Proceedings of the 9th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation 2022
  6. LEAD1.0: a large-scale annotated dataset for energy anomaly detection in commercial buildings
    Gulati, Manoj, and Arjunan, Pandarasamy
    In Proceedings of the Thirteenth ACM International Conference on Future Energy Systems 2022
  7. BEEM: Data-driven building energy benchmarking for Singapore
    Arjunan, Pandarasamy, Poolla, Kameshwar, and Miller, Clayton
    Energy and Buildings 2022

2021

  1. Operational characteristics of residential air conditioners with temporally granular remote thermographic imaging
    Arjunan, Pandarasamy, Dobler, Gregory, Lee, Kyungmin, Miller, Clayton, Biljecki, Filip, and Poolla, Kameshwar
    In Proceedings of the 8th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation (BuildSys ’21), Coimbra, Portugal, 2021
  2. IEEE Computer IF: 3.564
    Explainable AI for chiller fault-detection systems: gaining human trust
    Srinivasan, Seshadhri, Arjunan, Pandarasamy, Jin, Baihong, Sangiovanni-Vincentelli, Alberto L, Sultan, Zuraimi, and Poolla, Kameshwar
    Computer 2021

2020

  1. The Building Data Genome Project 2: Hourly energy meter data from the ASHRAE Great Energy Predictor III competition
    Miller, Clayton, Kathirgamanathan, Anjukan, Picchetti, Bianca, Arjunan, Pandarasamy, Park, June Young, Nagy, Zoltan, Raftery, Paul, Hobson, Brodie W, Shi, Zixiao, and Meggers, Forrest
    Scientific data 2020
  2. ASHRAE STBE IF: 1.356
    The ASHRAE Great Energy Predictor III competition: Overview and results
    Miller, Clayton, Arjunan, Pandarasamy, Kathirgamanathan, Anjukan, Fu, Chun, Roth, Jonathan, Park, June Young, Balbach, Chris, Gowri, Krishnan, Nagy, Zoltan, Fontanini, Anthony D, and others,
    Science and Technology for the Built Environment 2020
  3. Applied Energy IF: 8.848
    EnergyStar++: Towards more accurate and explanatory building energy benchmarking
    Arjunan, Pandarasamy, Poolla, Kameshwar, and Miller, Clayton
    Applied Energy 2020
  4. Islands of misfit buildings: Detecting uncharacteristic electricity use behavior using load shape clustering
    Quintana, Matias, Arjunan, Pandarasamy, and Miller, Clayton
    Building Simulation 2020
  5. MDPI Atmosphere IF: 2.686
    Hybrid Ventilation System and Soft-Sensors for Maintaining Indoor Air Quality and Thermal Comfort in Buildings
    Vadamalraj, Nivetha, Zingre, Kishor, Seshadhri, Subathra, Arjunan, Pandarasamy, and Srinivasan, Seshadhri
    Atmosphere 2020

2019

  1. Applied Energy IF: 8.848
    Apples or oranges? Identification of fundamental load shape profiles for benchmarking buildings using a large and diverse dataset
    Park, June Young, Yang, Xiya, Miller, Clayton, Arjunan, Pandarasamy, and Nagy, Zoltan
    Applied Energy 2019

2018

  1. PhD Thesis
    Middleware systems and analytics for energy management in buildings
    Arjunan, Pandarasamy, Singh, Amarjeet, and Singh, Pushpendra
    2018

2016

  1. Collect, Compare, and Score: A Generic Data-Driven Anomaly Detection Method for Buildings
    Rashid, Haroon, Arjunan, Pandarasamy, Singh, Pushpendra, and Singh, Amarjeet
    In Proceedings of the Seventh ACM International Conference on Future Energy Systems (Poster Session) (e-Energy ’16), Waterloo, Ontario, Canada, 2016

2015

  1. Multi-User Energy Consumption Monitoring and Anomaly Detection with Partial Context Information
    Arjunan, Pandarasamy, Khadilkar, Harshad D., Ganu, Tanuja, Charbiwala, Zainul M., Singh, Amarjeet, and Singh, Pushpendra
    In Proceedings of the 2nd ACM International Conference on Embedded Systems for Energy-Efficient Built Environments (BuildSys ’15), Seoul, South Korea, 2015
  2. OpenBAN: An Open Building ANalytics Middleware for Smart Buildings
    Arjunan, Pandarasamy, Srivastava, Mani, Singh, Amarjeet, and Singh, Pushpendra
    In Proceedings of the 12th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services (MobiQuitous ’15), Coimbra, Portugal, 2015
  3. SensorAct: A Decentralized and Scriptable Middleware for Smart Energy Buildings
    Arjunan, Pandarasamy, Saha, Manaswi, Choi, Haksoo, Gulati, Manoj, Singh, Amarjeet, Singh, Pushpendra, and Srivastava, Mani B
    In Proceedings of the 12th IEEE International Conference on Ubiquitous Intelligence and Computing (UIC-ATC-ScalCom ’15), Beijing, China, 2015
  4. E-Adivino: A Novel Framework for Electricity Consumption Prediction Based on Historical Trends
    Saini, Shubham, Arjunan, Pandarasamy, Singh, Amarjeet, and Nambiar, Ullas
    In Proceedings of the 2015 ACM Sixth International Conference on Future Energy Systems (Poster Session) (e-Energy ’15), Bangalore, India, 2015

2013

  1. IEEE ISSNIP
    Experiences with occupancy based building management systems
    Batra, Nipun, Arjunan, Pandarasamy, Singh, Amarjeet, and Singh, Pushpendra
    In 2013 IEEE Eighth International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP ’15), Melbourne, Australia, 2013
  2. Sensoract: Design and implementation of fine-grained sensing and control sharing in buildings
    Arjunan, Pandarasamy, Saha, Manaswi, Gulati, Manoj, Batra, Nipun, Singh, Amarjeet, and Singh, Pushpendra
    In 10th USENIX Symposium on Networked Systems Design and Implementation (Poster and Demo) (NSDI ’13), Lombard, USA, 2013

2012

  1. SensorAct: A Privacy and Security Aware Federated Middleware for Building Management
    Arjunan, Pandarasamy, Batra, Nipun, Choi, Haksoo, Singh, Amarjeet, Singh, Pushpendra, and Srivastava, Mani B.
    In Proceedings of the Fourth ACM Workshop on Embedded Sensing Systems for Energy-Efficiency in Buildings (BuildSys ’12), Toronto, Ontario, Canada, 2012
  2. COMSNETS
    Fine-grained resource (electricity) management in buildings
    Arjunan, Pandarasamy
    In 2012 Fourth International Conference on Communication Systems and Networks (COMSNETS 2012), Bangalore, India, 2012
  3. ACM SenSys
    Occupant-Centric Federated Cyber-Physical System for Building Management
    Arjunan, Pandarasamy
    In 9th ACM Conference on Embedded Networked Sensor Systems (PhD Forum) (SenSys 2012), Toronto, Canada, 2012

2011

  1. ACM NSDR
    MELOS: A Low-Cost and Low-Energy Generic Sensing Attachment for Mobile Phones
    Bhardwaj, Abhishek, Arjunan, Pandarasamy, Singh, Amarjeet, Naik, Vinayak, and Singh, Pushpendra
    In Proceedings of the 5th ACM Workshop on Networked Systems for Developing Regions (Co-located with MobiSys’11) (NSDR ’11), Bethesda, Maryland, USA, 2011