Naveen Kumar Thokala

According to our database, Naveen Kumar Thokala authored at least 14 papers between 2016 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

An effective electrical load disaggregation approach for low-sampled smart meter data.

Naveen Kumar Thokala, Spoorthy Paresh, M. Girish Chandra

Proceedings of the 9th ACM International Conference on Systems for Energy-Efficient Buildings, 2022

2021

A representational learning assisted matrix factorization approach for electrical load disaggregation.

Spoorthy Paresh, Naveen Kumar Thokala, Vishnu Brindavanam, M. Girish Chandra

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

Multi-Label Auto-Encoder based Electrical Load Disaggregation.

Spoorthy Paresh, Naveen Kumar Thokala, Angshul Majumdar, M. Girish Chandra

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019

Electrical Load Disaggregation using a two-stage deep learning approach.

Spoorthy Paresh, Naveen Kumar Thokala, M. Girish Chandra

Proceedings of the 6th ACM International Conference on Systems for Energy-Efficient Buildings, 2019

On Electrical Load Disaggregation using Recurrent Neural Networks.

Rajasekhar Gopu, Anusha Gudimallam, Vishnu Brindavanam, Naveen Kumar Thokala, M. Girish Chandra

Proceedings of the 6th ACM International Conference on Systems for Energy-Efficient Buildings, 2019

A Scalable Long-Horizon Forecasting of Building Electricity Consumption.

Naveen Kumar Thokala, S. Spoorthy, M. Girish Chandra

Proceedings of the Advances in Computational Intelligence, 2019

Long-Term Forecasting of Heterogenous Variables with Automatic Algorithm Selection.

Naveen Kumar Thokala, Kriti Kumar, M. Girish Chandra, Karumanchi Ravikumar

Proceedings of the Advances in Computational Intelligence, 2019

Enterprise System Response Time Prediction Using Non-stationary Function Approximations.

Karumanchi Ravikumar, Kriti Kumar, Naveen Kumar Thokala, M. Girish Chandra

Proceedings of the Advances in Computational Intelligence, 2019

Low Sampling Rate Electrical Load Disaggregation Using Dictionary Representation and Graph Signal Smoothness.

Kriti Kumar, M. Girish Chandra, Achanna Anil Kumar, Naveen Kumar Thokala

Proceedings of the Tenth ACM International Conference on Future Energy Systems, 2019

2018

Tool Wear Prediction using Function Approximation Driven by Signal Processing.

Kriti Kumar, Aakanksha Bapna, M. Girish Chandra, Naveen Kumar Thokala

Proceedings of the IECON 2018, 2018

A deployable electrical load forecasting solution for commercial buildings.

Naveen Kumar Thokala, Aakanksha Bapna, M. Girish Chandra

Proceedings of the IEEE International Conference on Industrial Technology, 2018

2017

DMSense: A non-invasive Diabetes Mellitus Classification System using Photoplethysmogram signal.

V. Ramu Reddy, Anirban Dutta Choudhury, Parijat Deshpande, Srinivasan Jayaraman, Naveen Kumar Thokala, Venkatesh Kaliaperumal

Proceedings of the 2017 IEEE International Conference on Pervasive Computing and Communications Workshops, 2017

PerDMCS: Weighted Fusion of PPG Signal Features for Robust and Efficient Diabetes Mellitus Classification.

V. Ramu Reddy, Anirban Dutta Choudhury, Srinivasan Jayaraman, Naveen Kumar Thokala, Parijat Deshpande, Venkatesh Kaliaperumal

Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2017), 2017

2016

Disaggregated Forecasting for Large Office Buildings: Poster Abstract.

Naveen Kumar Thokala, M. Girish Chandra

Proceedings of the 3rd ACM International Conference on Systems for Energy-Efficient Built Environments, 2016