| Ensemble empirical mode decomposition based adaptive wavelet neural network method for wind speed prediction M Santhosh, C Venkaiah, DMV Kumar Energy conversion and management 168, 482-493, 2018 | 201 | 2018 |
| Current advances and approaches in wind speed and wind power forecasting for improved renewable energy integration: A review M Santhosh, C Venkaiah, DM Vinod Kumar Engineering Reports 2 (6), e12178, 2020 | 128 | 2020 |
| Short-term wind speed forecasting approach using ensemble empirical mode decomposition and deep Boltzmann machine M Santhosh, C Venkaiah, DMV Kumar Sustainable Energy, Grids and Networks 19, 100242, 2019 | 97 | 2019 |
| Short-term electric power load forecasting using random forest and gated recurrent unit V Veeramsetty, KR Reddy, M Santhosh, A Mohnot, G Singal Electrical Engineering 104 (1), 307-329, 2022 | 53 | 2022 |
| A novel reinforced online model selection using Q-learning technique for wind speed prediction V Kosana, K Teeparthi, S Madasthu, S Kumar Sustainable Energy Technologies and Assessments 49, 101780, 2022 | 19 | 2022 |
| A novel and hybrid framework based on generative adversarial network and temporal convolutional approach for wind speed prediction V Kosana, K Teeparthi, S Madasthu Sustainable Energy Technologies and Assessments 53, 102467, 2022 | 18 | 2022 |
| Hybrid convolutional Bi-LSTM autoencoder framework for short-term wind speed prediction V Kosana, K Teeparthi, S Madasthu Neural Computing and Applications 34 (15), 12653-12662, 2022 | 16 | 2022 |
| Hybrid wind speed prediction framework using data pre-processing strategy based autoencoder network V Kosana, K Teeparthi, S Madasthu Electric Power Systems Research 206, 107821, 2022 | 15 | 2022 |
| A novel hybrid framework for wind speed forecasting using autoencoder‐based convolutional long short‐term memory network V Kosana, S Madasthu, K Teeparthi International Transactions on Electrical Energy Systems 31 (11), e13072, 2021 | 15 | 2021 |
| Hybrid attention-based temporal convolutional bidirectional LSTM approach for wind speed interval prediction BS Bommidi, V Kosana, K Teeparthi, S Madasthu Environmental Science and Pollution Research 30 (14), 40018-40030, 2023 | 6 | 2023 |
| Wind speed prediction using hybrid long short-term memory neural network based approach GR Yadav, E Muneender, M Santhosh 2021 International Conference on Sustainable Energy and Future Electric …, 2021 | 6 | 2021 |
| A hybrid approach to ultra short-term wind speed prediction using CEEMDAN and Informer BS Bommidi, V Kosana, K Teeparthi, S Madasthu 2022 22nd National power systems conference (npsc), 207-212, 2022 | 5 | 2022 |
| Meta‐heuristics algorithms for optimization of gains for dynamic voltage restorers to improve power quality and dynamics R Veramalla, SR Arya, V Gundeboina, B Jampana, R Chilipi, S Madasthu Optimal Control Applications and Methods, 2022 | 5 | 2022 |
| Ensemble deep learning model for wind speed prediction M Santhosh, MD Sai, S Mirza 2020 21st National Power Systems Conference (NPSC), 1-5, 2020 | 5 | 2020 |
| Current advances and approaches in wind speed and wind power forecasting for improved renewable energy integration: A review. Engineering Reports. 2020; 2 (6): e12178 M Santhosh, C Venkaiah, DM Vinod Kumar | 5 | 2020 |
| Sustainable energy, grids and networks short-term wind speed forecasting approach using ensemble empirical mode decomposition and deep Boltzmann machine. Sustain M Santhosh, C Venkaiah Energy Grids Netw 19, 100242, 2019 | 5 | 2019 |
| A novel dynamic selection approach using on-policy SARSA algorithm for accurate wind speed prediction V Kosana, M Santhosh, K Teeparthi, S Kumar Electric Power Systems Research 212, 108174, 2022 | 3 | 2022 |
| A hybrid wind speed forecasting model using complete ensemble empirical decomposition with adaptive noise and convolutional support vector machine V Kosana, K Teeparthi, M Santhosh 2021 9th IEEE International Conference on Power Systems (ICPS), 1-6, 2021 | 3 | 2021 |
| A hybrid forecasting model based on artificial neural network and teaching learning based optimization algorithm for day-ahead wind speed prediction M Santhosh, C Venkaiah, DMV Kumar Intelligent Computing Techniques for Smart Energy Systems: Proceedings of …, 2020 | 3 | 2020 |
| Outage data analytics for correlating resilience and reliability A Al Mamun, O Zenkri, S Madasthu, R Cox, B Chowdhury 2023 North American Power Symposium (NAPS), 1-6, 2023 | 1 | 2023 |
Venkaiah ChinthamNational Institute of Technology Warangal在 nitw.ac.in 的电子邮件经过验证
