| Prediction Techniques for Renewable Energy Generation and Load Demand Forecasting A Tomar, P Gaur, X Jin Springer, 2023 | 3 | 2023 |
| A novel Hypertuned Prophet based power saving approach for IoT enabled smart homes DK Sharma, V Jain, B Dhingra, K Datta Gupta, U Ghosh, W Al‐Numay Transactions on Emerging Telecommunications Technologies 34 (11), e4597, 2023 | 1 | 2023 |
| A Machine Learning based Fault Identification Framework for Smart Grid Automation B Dhingra, A Saini, A Tomar 2023 IEEE IAS Global Conference on Renewable Energy and Hydrogen …, 2023 | 1 | 2023 |
| Solar Power Forecasting in Photovoltaic Modules Using Machine Learning B Dhingra, A Tomar, N Gupta Prediction Techniques for Renewable Energy Generation and Load Demand …, 2023 | 1 | 2023 |
| A Comparative Study of Various Machine Learning Algorithms to Detect Power Plant Stability B Dhingra, S Yadav, A Tomar 2022 2nd International Conference on Innovative Sustainable Computational …, 2022 | 1 | 2022 |
| A Comparative Study of Machine Learning Algorithms for Photovoltaic Degradation Rate Prediction B Dhingra, S Tyagi, A Tomar 2022 Third International Conference on Intelligent Computing Instrumentation …, 2022 | 1 | 2022 |
| RLET: a lightweight model for ubiquitous multi-class intrusion detection in sustainable and secured smart environment B Dhingra, V Jain, DK Sharma, KD Gupta, D Kukreja International Journal of Information Security 23 (1), 315-330, 2024 | | 2024 |
| A pseudo-labelled ensemble inference for fast and efficient real field photovoltaic system’s power prediction B Dhingra, S Tyagi, A Verma, A Tomar, P Rani Optik 287, 171095, 2023 | | 2023 |
Dr. Anuradha Tomar, Postdoc (TU/e, T...Assistant Professor, Netaji Subhas University of Technology (Formerly NSIT), Govt. of NCT of DelhiVerified email at nsut.ac.in
