RESEARCH

Questions worth pursuing.

A granted solar-PV patent, followed by applied machine learning research across cybersecurity and renewable energy. Publications and contributions, with links to the original records.

Patent

GRANTED PATENT · 2024

An Efficiency Prediction System for Solar-PV Module Using Environmental Stacked Optimized Ensemble Inference Technique

India Patent 202311036858

Publications

7 papers & chapters

Google Scholar

JOURNAL ARTICLE · 2024

RLET: a lightweight model for ubiquitous multi-class intrusion detection in sustainable and secured smart environment

Bhavya Dhingra, Vidhi Jain, Deepak Kumar Sharma, Koyel Datta Gupta, Deepika Kukreja

International Journal of Information Security · 23 (1) · 315-330

CONFERENCE PAPER · 2023

A machine learning based fault identification framework for smart grid automation

Bhavya Dhingra, Abhilasha Saini, Anuradha Tomar

2023 IEEE IAS Global Conference on Renewable Energy and Hydrogen Technologies (GlobConHT) · 1-5

JOURNAL ARTICLE · 2023

A novel Hypertuned Prophet based power saving approach for IoT enabled smart homes

Deepak Kumar Sharma, Vidhi Jain, Bhavya Dhingra, Koyel Datta Gupta, Uttam Ghosh, Waleed Al‐Numay

Transactions on Emerging Telecommunications Technologies · 34 (11) · e4597

More publications (4)

JOURNAL ARTICLE · 2023

A pseudo-labelled ensemble inference for fast and efficient real field photovoltaic system’s power prediction

Bhavya Dhingra, Shivam Tyagi, Aryan Verma, Anuradha Tomar, Poonam Rani

Optik · 287 · 171095

BOOK CHAPTER · 2023

Solar power forecasting in photovoltaic modules using machine learning

Bhavya Dhingra, Anuradha Tomar, Neeraj Gupta

Prediction techniques for renewable energy generation and load demand forecasting · 19-28

CONFERENCE PAPER · 2022

A comparative study of various machine learning algorithms to detect power plant stability

Bhavya Dhingra, Sunil Yadav, Anuradha Tomar

2022 2nd International Conference on Innovative Sustainable Computational Technologies (CISCT) · 1-6

CONFERENCE PAPER · 2022

A comparative study of machine learning algorithms for photovoltaic degradation rate prediction

Bhavya Dhingra, Shivam Tyagi, Anuradha Tomar

2022 Third International Conference on Intelligent Computing Instrumentation and Control Technologies (ICICICT) · 474-478

Contributing author

Edited volume featuring my chapter on solar power forecasting.

RELATED EDITED VOLUME · 2023

Prediction Techniques for Renewable Energy Generation and Load Demand Forecasting

Editors: Anuradha Tomar, Prerna Gaur, Xiaolong Jin

Springer Nature Singapore

KEEP EXPLORING

Beyond the publications.

Competition results and recognition across data science and engineering.