Pandarasamy Arjunan

Orcid: 0000-0002-7697-3576

According to our database1, Pandarasamy Arjunan authored at least 31 papers between 2011 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Generative Adversarial Network with Soft-Dynamic Time Warping and Parallel Reconstruction for Energy Time Series Anomaly Detection.
CoRR, 2024

2023
Paddy Doctor: A Visual Image Dataset for Automated Paddy Disease Classification and Benchmarking.
Dataset, February, 2023

Semantic segmentation of longitudinal thermal images for identification of hot and cool spots in urban areas.
CoRR, 2023

District-scale surface temperatures generated from high-resolution longitudinal thermal infrared images.
CoRR, 2023

Explainable AI for Energy Prediction and Anomaly Detection in Smart Energy Buildings.
Proceedings of the 10th ACM International Conference on Systems for Energy-Efficient Buildings, 2023

Explainable Occupancy Prediction Using QLattice.
Proceedings of the 10th ACM International Conference on Systems for Energy-Efficient Buildings, 2023

Paddy Doctor: A Visual Image Dataset for Automated Paddy Disease Classification and Benchmarking.
Proceedings of the 6th Joint International Conference on Data Science & Management of Data (10th ACM IKDD CODS and 28th COMAD), 2023

2022
Longitudinal thermal imaging for scalable non-residential HVAC and occupant behaviour characterization.
CoRR, 2022

Paddy Doctor: A Visual Image Dataset for Paddy Disease Classification.
CoRR, 2022

eptk: energy prediction toolkit.
Proceedings of the 9th ACM International Conference on Systems for Energy-Efficient Buildings, 2022

The way forward for building energy benchmarking in India.
Proceedings of the 9th ACM International Conference on Systems for Energy-Efficient Buildings, 2022

BenchSys 2022: the first ACM SIGEnergy workshop on advancements in building energy benchmarking systems.
Proceedings of the 9th ACM International Conference on Systems for Energy-Efficient Buildings, 2022

XENIA: eXplainable ENergy informatics and attributes for building energy benchmarking.
Proceedings of the 9th ACM International Conference on Systems for Energy-Efficient Buildings, 2022

FATEsys 2022: the second ACM SIGEnergy workshop on fair, accountable, transparent, and ethical (FATE) AI for smart environments and energy systems.
Proceedings of the 9th ACM International Conference on Systems for Energy-Efficient Buildings, 2022

Trimming outliers using trees: winning solution of the large-scale energy anomaly detection (LEAD) competition.
Proceedings of the 9th ACM International Conference on Systems for Energy-Efficient Buildings, 2022

Causal 1-D convolutional neural networks based chiller fault detection and diagnosis.
Proceedings of the 9th ACM International Conference on Systems for Energy-Efficient Buildings, 2022

LEAD1.0: a large-scale annotated dataset for energy anomaly detection in commercial buildings.
Proceedings of the e-Energy '22: The Thirteenth ACM International Conference on Future Energy Systems, Virtual Event, 28 June 2022, 2022

2021
Explainable AI for Chiller Fault-Detection Systems: Gaining Human Trust.
Computer, 2021

FATEsys 2021: the first ACM SIGEnergy workshop on fair, accountable, transparent, and ethical (FATE) AI for smart environments and energy systems.
Proceedings of the BuildSys '21: The 8th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation, Coimbra, Portugal, November 17, 2021

Operational characteristics of residential air conditioners with temporally granular remote thermographic imaging.
Proceedings of the BuildSys '21: The 8th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation, Coimbra, Portugal, November 17, 2021

2020
The ASHRAE Great Energy Predictor III competition: Overview and results.
CoRR, 2020

2019
EnergyStar++: Towards more accurate and explanatory building energy benchmarking.
CoRR, 2019

2016
Collect, compare, and score: a generic data-driven anomaly detection method for buildings.
Proceedings of the Seventh International Conference on Future Energy Systems, Waterloo, ON, Canada, June 21 - 24, 2016, 2016

2015
OpenBAN: An Open Building ANalytics Middleware for Smart Buildings.
EAI Endorsed Trans. Scalable Inf. Syst., 2015

SensorAct: A Decentralized and Scriptable Middleware for Smart Energy Buildings.
Proceedings of the 2015 IEEE 12th Intl Conf on Ubiquitous Intelligence and Computing and 2015 IEEE 12th Intl Conf on Autonomic and Trusted Computing and 2015 IEEE 15th Intl Conf on Scalable Computing and Communications and Its Associated Workshops (UIC-ATC-ScalCom), 2015

Multi-User Energy Consumption Monitoring and Anomaly Detection with Partial Context Information.
Proceedings of the 2nd ACM International Conference on Embedded Systems for Energy-Efficient Built Environments, 2015

E-Adivino: A Novel Framework for Electricity Consumption Prediction Based on Historical Trends.
Proceedings of the 2015 ACM Sixth International Conference on Future Energy Systems, 2015

2013
Experiences with Occupancy based Building Management Systems.
Proceedings of the 2013 IEEE Eighth International Conference on Intelligent Sensors, 2013

2012
SensorAct: a privacy and security aware federated middleware for building management.
Proceedings of the BuildSys '12 Proceedings of the Fourth ACM Workshop on Embedded Sensing Systems for Energy-Efficiency in Buildings, 2012

Fine-grained resource (electricity) management in buildings.
Proceedings of the Fourth International Conference on Communication Systems and Networks, 2012

2011
MELOS: a low-cost and low-energy generic sensing attachment for mobile phones.
Proceedings of the 5th ACM workshop on Networked systems for developing regions, 2011


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