Bhukya Ramadevi, Venkata Ramana Kasi, Kishore Bingi, “Fractional ordering of activation functions for neural networks: A case study on Texas wind turbine”, 127, 107308, DOI: 10.1016/j.engappai.2023.107308. (ISSN No: 2162-2388) (Engineering Applications of Artificial Intelligence). (Publication Date: 2024)

Fractional feed-forward neural network-based smart grid stability prediction model(140-168)(ISSN: 2515-2947), DOI:10.1201/9781003470274-7 (Publication Date: 2024)

Forecasting of renewable energy using fractional-order neural networks (93-122)(ISSN:2252-4940), https://scholar.google.co.in/scholar?q=Forecasting+of+renewable+energy+using+fractional-order+neural+networks&hl=en&as_sdt=0&as_vis=1&oi=scholart (Publication Date: 2024)

Time series forecasting model for sunspot number (1-6)(ISSN: 2071-0216), DOI: 10.1109/ICICCSP53532.2022.9862424. (Publication Date: 2022)

B Ramadevi, ND Zafirah, K Bingi, M Omar, BR Prusty , “Fractional-order long short-term memory network for forecasting of solar irradiance”, Engineering Research Express 6 (4), 045351. (ISSN No: 1934-7898)Impact Factor:1.5, (Publication Date: 2024)

Bhukya Ramadevi, Kishore Bingi, “Chaotic time series forecasting approaches using machine learning techniques: A review”, 14, 5, Impact Factor: 2.2, https://doi.org/10.3390/sym14050955. (ISSN No: 2632-2153), (Symmetry), (Publication Date: 2022)

Bhukya Ramadevi, Venkata Ramana Kasi, Kishore Bingi, “Enhancement of Texas wind turbine power predictions using fractional order neural network by incorporating machine learning models to impute missing data”, 112176, Impact Factor: 7.2, DOI: 10.1016/j.knosys.2024.112176. (ISSN: 2162-2388), (Knowledge-Based Systems), (Publication Date: 2024)

Bhukya Ramadevi, Venkata Ramana Kasi, Kishore Bingi, “Hybrid LSTM-Based Fractional-Order Neural Network for Jeju Island’s Wind Farm Power Forecasting”, 8, 149, Impact Factor: 3.6, DOI: 10.3390/fractalfract8030149. (ISSN No: 1361-6536),( Fractal and Fractional), (Publication Date: 2024)