MELOS: a low-cost and low-energy generic sensing attachment for mobile phones. - Abhishek Bhardwaj; Pandarasamy Arjunan; Amarjeet Singh 001; Vinayak S. Naik; Pushpendra Singh 001 (NSDR, 2011)

Fine-grained resource (electricity) management in buildings. - Pandarasamy Arjunan (COMSNETS, 2012)

SensorAct: a privacy and security aware federated middleware for building management. - Pandarasamy Arjunan; Nipun Batra 001; Haksoo Choi; Amarjeet Singh 001; Pushpendra Singh 001; Mani B. Srivastava (BuildSys@SenSys, 2012)

Experiences with Occupancy based Building Management Systems. - Nipun Batra 001; Pandarasamy Arjunan; Amarjeet Singh 001; Pushpendra Singh 001 (ISSNIP, 2013)

E-Adivino: A Novel Framework for Electricity Consumption Prediction Based on Historical Trends. - Shubham Saini; Pandarasamy Arjunan; Amarjeet Singh 001; Ullas Nambiar (e-Energy, 2015)

Multi-User Energy Consumption Monitoring and Anomaly Detection with Partial Context Information. - Pandarasamy Arjunan; Harshad D. Khadilkar; Tanuja Ganu; Zainul M. Charbiwala; Amarjeet Singh 001; Pushpendra Singh 001 (BuildSys, 2015)

SensorAct: A Decentralized and Scriptable Middleware for Smart Energy Buildings. - Pandarasamy Arjunan; Manaswi Saha; Haksoo Choi; Manoj Gulati; Amarjeet Singh 001; Pushpendra Singh 001; Mani B. Srivastava (UIC/ATC/ScalCom, 2015)

OpenBAN: An Open Building ANalytics Middleware for Smart Buildings. - Pandarasamy Arjunan; Mani B. Srivastava; Amarjeet Singh 001; Pushpendra Singh 001 (EAI Endorsed Trans. Scalable Inf. Syst., 2015)

Collect, compare, and score: a generic data-driven anomaly detection method for buildings. - Haroon Rashid; Pandarasamy Arjunan; Pushpendra Singh 001; Amarjeet Singh 001 (e-Energy (Posters), 2016)

EnergyStar++: Towards more accurate and explanatory building energy benchmarking. - Pandarasamy Arjunan; Kameshwar Poolla; Clayton Miller (CoRR, 2019)

The ASHRAE Great Energy Predictor III competition: Overview and results. - Clayton Miller; Pandarasamy Arjunan; Anjukan Kathirgamanathan; Chun Fu; Jonathan Roth; June Young Park; Chris Balbach; Krishnan Gowri; Zoltán Nagy 002; Anthony Fontanini; Jeff Haberl (CoRR, 2020)

Operational characteristics of residential air conditioners with temporally granular remote thermographic imaging. - Pandarasamy Arjunan; Gregory Dobler; Kyungmin Lee; Clayton Miller; Filip Biljecki; Kameshwar Poolla (BuildSys, 2021)

FATEsys 2021: the first ACM SIGEnergy workshop on fair, accountable, transparent, and ethical (FATE) AI for smart environments and energy systems. - Milan Jain; Pandarasamy Arjunan (BuildSys, 2021)

Explainable AI for Chiller Fault-Detection Systems: Gaining Human Trust. - Seshadhri Srinivasan; Pandarasamy Arjunan; Baihong Jin; Alberto L. Sangiovanni-Vincentelli; Zuraimi Sultan; Kameshwar Poolla (Computer, 2021)

LEAD1.0: a large-scale annotated dataset for energy anomaly detection in commercial buildings. - Manoj Gulati; Pandarasamy Arjunan (e-Energy, 2022)

Causal 1-D convolutional neural networks based chiller fault detection and diagnosis. - Pandarasamy Arjunan; Seshadhri Srinivasan; Kameshwar Poolla (BuildSys, 2022)

Trimming outliers using trees: winning solution of the large-scale energy anomaly detection (LEAD) competition. - Chun Fu; Pandarasamy Arjunan; Clayton Miller (BuildSys, 2022)

FATEsys 2022: the second ACM SIGEnergy workshop on fair, accountable, transparent, and ethical (FATE) AI for smart environments and energy systems. - Milan Jain; Pandarasamy Arjunan (BuildSys, 2022)

XENIA: eXplainable ENergy informatics and attributes for building energy benchmarking. - Kevin Joshi; Arnab Jana; Pandarasamy Arjunan; Krithi Ramamritham (BuildSys, 2022)

BenchSys 2022: the first ACM SIGEnergy workshop on advancements in building energy benchmarking systems. - Balaji Kalluri; Jay Dhariwal; Pandarasamy Arjunan; Prashant Anand; Chirag Deb (BuildSys, 2022)

The way forward for building energy benchmarking in India. - Balaji Kalluri; Jay Dhariwal; Pandarasamy Arjunan; Prashant Anand; Chirag Deb (BuildSys, 2022)

eptk: energy prediction toolkit. - Hardik Prabhu; Pandarasamy Arjunan (BuildSys, 2022)

Paddy Doctor: A Visual Image Dataset for Paddy Disease Classification. - Petchiammal A; Briskline Kiruba S; D. Murugan; Pandarasamy Arjunan (CoRR, 2022)

Longitudinal thermal imaging for scalable non-residential HVAC and occupant behaviour characterization. - Vasantha Ramani; Miguel Martin; Pandarasamy Arjunan; Adrian Chong; Kameshwar Poolla; Clayton Miller (CoRR, 2022)

Paddy Doctor: A Visual Image Dataset for Automated Paddy Disease Classification and Benchmarking. - Petchiammal A; Briskline Kiruba S; D. Murugan; Pandarasamy Arjunan (COMAD/CODS, 2023)

Explainable Occupancy Prediction Using QLattice. - Ajith N. Nair; Harshwardhan Tanwar; Pandarasamy Arjunan; Prashant Anand; Ardeshir Mahdavi (BuildSys, 2023)

Explainable AI for Energy Prediction and Anomaly Detection in Smart Energy Buildings. - Hardik Prabhu; Jayaraman K. Valadi; Pandarasamy Arjunan (BuildSys, 2023)

District-scale surface temperatures generated from high-resolution longitudinal thermal infrared images. - Subin Lin; Vasantha Ramani; Miguel Martin; Pandarasamy Arjunan; Adrian Chong; Filip Biljecki; Marcel Ignatius; Kameshwar Poolla; Clayton Miller (CoRR, 2023)

Semantic segmentation of longitudinal thermal images for identification of hot and cool spots in urban areas. - Vasantha Ramani; Pandarasamy Arjunan; Kameshwar Poolla; Clayton Miller (CoRR, 2023)

Paddy Doctor: A Visual Image Dataset for Automated Paddy Disease Classification and Benchmarking. - Petchiammal A; Briskline Kiruba S; D. Murugan; Pandarasamy Arjunan (IEEE DataPort, 2023)

BD3: Building Defects Detection Dataset for Benchmarking Computer Vision Techniques for Automated Defect Identification. - Praveen Kottari; Pandarasamy Arjunan (BuildSys, 2024)

Analyzing the Performance of Time Series Foundation Models for Short-term Load Forecasting. - Harish Kumar Saravanan; Shivam Dwivedi; Pandarasamy Arjunan (BuildSys, 2024)

Analyzing the Performance of Time Series Foundation Models for Short-term Load Forecasting. - Harish Kumar Saravanan; Shivam Dwivedi; P. Praveen; Pandarasamy Arjunan (BuildSys, 2024)

Enhanced Consumer Segmentation Through Load Profile Analysis Using Autoencoder and K-Shape Clustering. - P. Praveen; Patil Balachandra; Pandarasamy Arjunan (EI.A (1), 2024)

Generative Adversarial Network with Soft-Dynamic Time Warping and Parallel Reconstruction for Energy Time Series Anomaly Detection. - Hardik Prabhu; Jayaraman K. Valadi; Pandarasamy Arjunan (CoRR, 2024)

Are Time Series Foundation models good for Energy Anomaly Detection? - Basu Hela; Praveen Prasad Handigol; Pandarasamy Arjunan (e-Energy, 2025)

Mix-BEATS: Mixer-enhanced Basis Expansion Analysis for Load Forecasting. - Anuj Kumar; Harish Kumar Saravanan; Shivam Dwivedi; Pandarasamy Arjunan (e-Energy, 2025)