| Forecasting of wind speed using feature selection and neural networks SK Paramasivan, D Lopez International Journal of Renewable Energy Research (IJRER) 6 (3), 833-837, 2016 | 43 | 2016 |
| Improved Prediction of Wind Speed using Machine Learning S Kumar P EAI Endorsed Transactions on Energy Web 6 (23), 2019 | 38 | 2019 |
| Feature selection used for wind speed forecasting with data driven approaches P Senthil Kumar, D Lopez Journal of Engineering Science and Technology Review 8 (5), 124-127, 2015 | 32 | 2015 |
| Deep Learning Based Recurrent Neural Networks to Enhance the Performance of Wind Energy Forecasting: A Review SK Paramasivan Revue d'Intelligence Artificielle 35 (1), 1-10, 2021 | 24 | 2021 |
| Machine learning based approach for pothole detection SKP Karmel. A, Adhithiyan. M International Journal of Civil Engineering and Technology 9 (5), 882-888, 2018 | 22* | 2018 |
| A review on feature selection methods for high dimensional data P Senthil Kumar, D Lopez International Journal of Engineering and Technology 8 (2), 669-672, 2016 | 22 | 2016 |
| Deep Learning for Wind Speed Forecasting Using Bi-LSTM with Selected Features S Siva Sankari, P Senthil Kumar, A Karmel, S Saminathan, ... Intelligent Automation & Soft Computing 35 (3), 3829–3844, 2022 | 14* | 2022 |
| An Efficient Crop Identification Using Deep Learning SKP Agila N International Journal of Scientific & Technology Research 9 (1), 2805-2808, 2020 | 13 | 2020 |
| An efficient model for share market prediction using data mining techniques G Swaroop, P Senthil Kumar, T Muthamil Selvan Int J Appl Eng Res 9 (17), 3807-3812, 2014 | 13 | 2014 |
| A Review of Soft Computing Techniques in Short-Term Load Forecasting S Kumar P International Journal of Applied Engineering Research 12 (17), 7202-7206, 2017 | 12 | 2017 |
| Highest humidity prediction using data mining techniques P Kiruthika, V.G., Arutchudar, V., Senthil Kumar International Journal of Applied Engineering Research 9 (16), 3259-3264, 2014 | 9 | 2014 |
| Deep Learning Based Load Forecasting with Decomposition and Feature Selection Techniques SS Subbiah, SK P NIScPR-CSIR, India, 2022 | 8 | 2022 |
| A Review of Deep Transfer Learning Strategy for Energy Forecasting SS Sankari, PS Kumar Nature Environment and Pollution Technology 22 (4), 1781-1793, 2023 | 2 | 2023 |
| A Survey on Deep Learning Based Crop Yield Prediction. S Archana, PS Kumar Nature Environment & Pollution Technology 22 (2), 2023 | 1 | 2023 |
| Bio-inspired algorithms for energy load forecasting: A review R Chandrasekaran, SK Paramasivan AIP Conference Proceedings 2802 (1), 2024 | | 2024 |
| Prediction of air quality pollutants using artificial intelligence techniques: A review SS Subbiah, SK Paramasivan AIP Conference Proceedings 2802 (1), 2024 | | 2024 |
| Prediction of particulate matter pm2. 5 using bidirectional gated recurrent unit with feature selection SS Subbiah, SK Paramasivan, M Thangavel | | 2024 |
| A State-of-the-Art Review of Time Series Forecasting Using Deep Learning Approaches SKP Radhika Chandrasekaran International Journal on Recent and Innovation Trends in Computing and …, 2022 | | 2022 |
| Temperature Prediction using Data Mining Techniques M K, S Kumar P International Conference on Recent Trends in Science and Technnology, 2019 | | 2019 |
| A Comprehensive Genetic Algorithm Review and Applications SKP Arun Kumar SN International Journal of Computer Application and Engineering Technology 4 …, 2015 | | 2015 |
