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ORCIDPandarasamy Arjunan
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2020 – today
- 2024
[c25]Praveen Kottari
, Pandarasamy Arjunan:
BD3: Building Defects Detection Dataset for Benchmarking Computer Vision Techniques for Automated Defect Identification. BuildSys 2024- [c24]Harish Kumar Saravanan, Shivam Dwivedi, Pandarasamy Arjunan:
Analyzing the Performance of Time Series Foundation Models for Short-term Load Forecasting. BuildSys 2024 - [c23]Harish Kumar Saravanan, Shivam Dwivedi, P. Praveen, Pandarasamy Arjunan:
Analyzing the Performance of Time Series Foundation Models for Short-term Load Forecasting. BuildSys 2024 - [c22]P. Praveen, Patil Balachandra, Pandarasamy Arjunan:
Enhanced Consumer Segmentation Through Load Profile Analysis Using Autoencoder and K-Shape Clustering. EI.A (1) 2024: 298-312 - [i8]Hardik Prabhu, Jayaraman K. Valadi, Pandarasamy Arjunan:
Generative Adversarial Network with Soft-Dynamic Time Warping and Parallel Reconstruction for Energy Time Series Anomaly Detection. CoRR abs/2402.14384 (2024) - 2023
- [c21]Petchiammal A, Briskline Kiruba S, D. Murugan, Pandarasamy Arjunan:
Paddy Doctor: A Visual Image Dataset for Automated Paddy Disease Classification and Benchmarking. COMAD/CODS 2023: 203-207 - [c20]Hardik Prabhu, Jayaraman K. Valadi, Pandarasamy Arjunan:
Explainable AI for Energy Prediction and Anomaly Detection in Smart Energy Buildings. BuildSys 2023: 472-475 - [c19]Ajith N. Nair, Harshwardhan Tanwar, Pandarasamy Arjunan, Prashant Anand, Ardeshir Mahdavi:
Explainable Occupancy Prediction Using QLattice. BuildSys 2023: 543-549 - [d1]Petchiammal A, Briskline Kiruba S, D. Murugan, Pandarasamy Arjunan:
Paddy Doctor: A Visual Image Dataset for Automated Paddy Disease Classification and Benchmarking. IEEE DataPort, 2023
- [i7]Subin Lin, Vasantha Ramani, Miguel Martin, Pandarasamy Arjunan, Adrian Chong, Filip Biljecki, Marcel Ignatius, Kameshwar Poolla, Clayton Miller:
District-scale surface temperatures generated from high-resolution longitudinal thermal infrared images. CoRR abs/2305.01971 (2023) - [i6]Vasantha Ramani, Pandarasamy Arjunan, Kameshwar Poolla, Clayton Miller:
Semantic segmentation of longitudinal thermal images for identification of hot and cool spots in urban areas. CoRR abs/2310.04247 (2023) - 2022
- [c18]Manoj Gulati, Pandarasamy Arjunan:
LEAD1.0: a large-scale annotated dataset for energy anomaly detection in commercial buildings. e-Energy 2022: 485-488 - [c17]Milan Jain, Pandarasamy Arjunan:
FATEsys 2022: the second ACM SIGEnergy workshop on fair, accountable, transparent, and ethical (FATE) AI for smart environments and energy systems. BuildSys 2022: 307-309 - [c16]Balaji Kalluri, Jay Dhariwal, Pandarasamy Arjunan, Prashant Anand, Chirag Deb:
BenchSys 2022: the first ACM SIGEnergy workshop on advancements in building energy benchmarking systems. BuildSys 2022: 403-405 - [c15]Kevin Joshi, Arnab Jana, Pandarasamy Arjunan, Krithi Ramamritham:
XENIA: eXplainable ENergy informatics and attributes for building energy benchmarking. BuildSys 2022: 406-412 - [c14]Balaji Kalluri, Jay Dhariwal, Pandarasamy Arjunan, Prashant Anand, Chirag Deb:
The way forward for building energy benchmarking in India. BuildSys 2022: 419-425 - [c13]Chun Fu, Pandarasamy Arjunan, Clayton Miller:
Trimming outliers using trees: winning solution of the large-scale energy anomaly detection (LEAD) competition. BuildSys 2022: 456-461 - [c12]Pandarasamy Arjunan, Seshadhri Srinivasan, Kameshwar Poolla:
Causal 1-D convolutional neural networks based chiller fault detection and diagnosis. BuildSys 2022: 508-511 - [c11]Hardik Prabhu, Pandarasamy Arjunan:
eptk: energy prediction toolkit. BuildSys 2022: 512-515 - [i5]Manoj Gulati, Pandarasamy Arjunan:
LEAD1.0: A Large-scale Annotated Dataset for Energy Anomaly Detection in Commercial Buildings. CoRR abs/2203.17256 (2022) - [i4]Petchiammal A, Briskline Kiruba S, D. Murugan, Pandarasamy Arjunan:
Paddy Doctor: A Visual Image Dataset for Paddy Disease Classification. CoRR abs/2205.11108 (2022) - [i3]Vasantha Ramani, Miguel Martin, Pandarasamy Arjunan, Adrian Chong, Kameshwar Poolla, Clayton Miller:
Longitudinal thermal imaging for scalable non-residential HVAC and occupant behaviour characterization. CoRR abs/2211.09288 (2022) - 2021
- [j2]Seshadhri Srinivasan, Pandarasamy Arjunan, Baihong Jin, Alberto L. Sangiovanni-Vincentelli, Zuraimi Sultan, Kameshwar Poolla:
Explainable AI for Chiller Fault-Detection Systems: Gaining Human Trust. Computer 54(10): 60-68 (2021) - [c10]Pandarasamy Arjunan, Gregory Dobler, Kyungmin Lee, Clayton Miller, Filip Biljecki, Kameshwar Poolla:
Operational characteristics of residential air conditioners with temporally granular remote thermographic imaging. BuildSys 2021: 184-187 - [c9]Milan Jain, Pandarasamy Arjunan:
FATEsys 2021: the first ACM SIGEnergy workshop on fair, accountable, transparent, and ethical (FATE) AI for smart environments and energy systems. BuildSys 2021: 252-254 - 2020
- [i2]Clayton Miller, Pandarasamy Arjunan, Anjukan Kathirgamanathan, Chun Fu, Jonathan Roth, June Young Park, Chris Balbach, Krishnan Gowri, Zoltán Nagy, Anthony Fontanini, Jeff Haberl:
The ASHRAE Great Energy Predictor III competition: Overview and results. CoRR abs/2007.06933 (2020)
2010 – 2019
- 2019
- [i1]Pandarasamy Arjunan, Kameshwar Poolla, Clayton Miller:
EnergyStar++: Towards more accurate and explanatory building energy benchmarking. CoRR abs/1910.14563 (2019) - 2016
- [c8]Haroon Rashid, Pandarasamy Arjunan, Pushpendra Singh, Amarjeet Singh:
Collect, compare, and score: a generic data-driven anomaly detection method for buildings. e-Energy (Posters) 2016: 12:1-12:2 - 2015
- [j1]Pandarasamy Arjunan, Mani B. Srivastava, Amarjeet Singh, Pushpendra Singh:
OpenBAN: An Open Building ANalytics Middleware for Smart Buildings. EAI Endorsed Trans. Scalable Inf. Syst. 2(7): e4 (2015) - [c7]Shubham Saini, Pandarasamy Arjunan, Amarjeet Singh, Ullas Nambiar:
E-Adivino: A Novel Framework for Electricity Consumption Prediction Based on Historical Trends. e-Energy 2015: 213-214 - [c6]Pandarasamy Arjunan, Harshad D. Khadilkar, Tanuja Ganu, Zainul M. Charbiwala, Amarjeet Singh, Pushpendra Singh:
Multi-User Energy Consumption Monitoring and Anomaly Detection with Partial Context Information. BuildSys 2015: 35-44 - [c5]Pandarasamy Arjunan, Manaswi Saha, Haksoo Choi, Manoj Gulati, Amarjeet Singh, Pushpendra Singh, Mani B. Srivastava:
SensorAct: A Decentralized and Scriptable Middleware for Smart Energy Buildings. UIC/ATC/ScalCom 2015: 11-19 - 2013
- [c4]Nipun Batra, Pandarasamy Arjunan, Amarjeet Singh, Pushpendra Singh:
Experiences with Occupancy based Building Management Systems. ISSNIP 2013: 153-158 - 2012
- [c3]Pandarasamy Arjunan:
Fine-grained resource (electricity) management in buildings. COMSNETS 2012: 1-2 - [c2]Pandarasamy Arjunan, Nipun Batra, Haksoo Choi, Amarjeet Singh, Pushpendra Singh, Mani B. Srivastava:
SensorAct: a privacy and security aware federated middleware for building management. BuildSys@SenSys 2012: 80-87 - 2011
- [c1]Abhishek Bhardwaj, Pandarasamy Arjunan, Amarjeet Singh, Vinayak S. Naik, Pushpendra Singh:
MELOS: a low-cost and low-energy generic sensing attachment for mobile phones. NSDR 2011: 27-32
Coauthor Index
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