| Chaotic time series forecasting approaches using machine learning techniques: A review B Ramadevi, K Bingi Symmetry 14 (5), 955, 2022 | 58 | 2022 |
| Fractional ordering of activation functions for neural networks: A case study on Texas wind turbine B Ramadevi, VR Kasi, K Bingi Engineering Applications of Artificial Intelligence 127, 107308, 2024 | 20 | 2024 |
| Time series forecasting model for sunspot number B Ramadevi, K Bingi 2022 International Conference on Intelligent Controller and Computing for …, 2022 | 12 | 2022 |
| Hybrid LSTM-Based Fractional-Order Neural Network for Jeju Island’s Wind Farm Power Forecasting B Ramadevi, VR Kasi, K Bingi Fractal and Fractional 8 (3), 149, 2024 | 8 | 2024 |
| Enhancement of Texas wind turbine power predictions using fractional order neural network by incorporating machine learning models to impute missing data B Ramadevi, VR Kasi, K Bingi Knowledge-Based Systems, 112176, 2024 | 3 | 2024 |
| Fractional-order long short-term memory network for forecasting of solar irradiance B Ramadevi, ND Zafirah, K Bingi, M Omar, BR Prusty Engineering Research Express 6 (4), 045351, 2024 | | 2024 |
| Forecasting of renewable energy using fractional-order neural networks B Ramadevi, VR Kasi, K Bingi, BR Prusty, M Omar Intelligent Data-Driven Modelling and Optimization in Power and Energy …, 2024 | | 2024 |
| Fractional feed-forward neural network-based smart grid stability prediction model B Ramadevi, VR Kasi, K Bingi, R Ibrahim, BR Prusty Intelligent Data-Driven Modelling and Optimization in Power and Energy …, 2024 | | 2024 |
Kishore BingiSenior Lecturer, Electrical & Electronic Engineering Department, Universiti Teknologi PETRONASVerified email at ieee.org