| A hybrid forecasting model for short-term power load based on sample entropy, two-phase decomposition and whale algorithm optimized support vector regression W Li, Q Shi, M Sibtain, D Li, DE Mbanze IEEE access 8, 166907-166921, 2020 | 65 | 2020 |
| Hydropower exploitation for Pakistan's sustainable development: A SWOT analysis considering current situation, challenges, and prospects M Sibtain, X Li, H Bashir, MI Azam Energy Strategy Reviews 38, 100728, 2021 | 53 | 2021 |
| A multivariate ultra-short-term wind speed forecasting model by employing multistage signal decomposition approaches and a deep learning network M Sibtain, H Bashir, M Nawaz, S Hameed, MI Azam, X Li, T Abbas, ... Energy Conversion and Management 263, 115703, 2022 | 38 | 2022 |
| A multivariate streamflow forecasting model by integrating improved complete ensemble empirical mode decomposition with additive noise, sample entropy, Gini index and sequence … H Apaydin, M Sibtain Journal of Hydrology 603, 126831, 2021 | 33 | 2021 |
| A multistage hybrid model ICEEMDAN-SE-VMD-RDPG for a multivariate solar irradiance forecasting M Sibtain, X Li, S Saleem, MS Asad, T Tahir, H Apaydin Ieee Access 9, 37334-37363, 2021 | 27 | 2021 |
| Development of a Three‐Stage Hybrid Model by Utilizing a Two‐Stage Signal Decomposition Methodology and Machine Learning Approach to Predict Monthly Runoff at Swat River Basin … M Sibtain, X Li, G Nabi, MI Azam, H Bashir Discrete Dynamics in Nature and Society 2020 (1), 7345676, 2020 | 26 | 2020 |
| A Multivariate and Multistage Medium‐and Long‐Term Streamflow Prediction Based on an Ensemble of Signal Decomposition Techniques with a Deep Learning Network M Sibtain, X Li, S Saleem Advances in Meteorology 2020 (1), 8828664, 2020 | 26 | 2020 |
| Applicability of a three-stage hybrid model by employing a two-stage signal decomposition approach and a deep learning methodology for runoff forecasting at Swat River … M Sibtain, X Li, MI Azam, H Bashir Polish Journal of Environmental Studies 30 (1), 2021 | 21 | 2021 |
| Improving reservoir inflow prediction via rolling window and deep learning-based multi-model approach: case study from Ermenek Dam, Turkey H Feizi, H Apaydin, MT Sattari, MS Colak, M Sibtain Stochastic Environmental Research and Risk Assessment 36 (10), 3149-3169, 2022 | 13 | 2022 |
| A hybrid model for runoff prediction using variational mode decomposition and artificial neural network M Sibtain, X Li, H Bashir, MI Azam Water Resources 48, 701-712, 2021 | 13 | 2021 |
| Decomposition and Harris hawks optimized multivariate wind speed forecasting utilizing sequence2sequence-based spatiotemporal attention H Bashir, M Sibtain, Ö Hanay, MI Azam, S Saleem Energy 278, 127933, 2023 | 8 | 2023 |
| Monthly streamflow forecasting using decomposition-based hybridization with two-step verification method over the Mangla watershed, Pakistan M Tayyab, D Xiaohua, M Sibtain, I Ahmad, A Zahra, MI Azam Iranian Journal of Science and Technology, Transactions of Civil Engineering …, 2023 | 6 | 2023 |
| Multifaceted irradiance prediction by exploiting hybrid decomposition-entropy-Spatiotemporal attention based Sequence2Sequence models M Sibtain, X Li, S Saleem, Q Shi, F Li, M Saeed, F Majeed, SSA Shah, ... Renewable Energy 196, 648-682, 2022 | 6 | 2022 |
| Optimal and economic programming in a reconfigured competitive electricity market considering dispersed generation sources with the firefly algorithm M Sibtain, S Saleem Advances in Engineering and Intelligence Systems 1 (02), 35-46, 2022 | 3 | 2022 |
| Improving Multivariate Runoff Prediction Through Multistage Novel Hybrid Models M Sibtain, X Li, F Li, Q Shi, H Bashir, MI Azam, M Yaseen, S Saleem Water Resources Management 38 (7), 2545-2564, 2024 | 1 | 2024 |
| Optimum application of hybrid data driven models with two step verification method at Mangla Watershed, Pakistan M Tayyab, D Xiaohua, M Sibtain, I Ahmad, A Zahra, MI Azam | 1 | 2021 |
| A nature-inspired and noise-assisted feature extraction integrating spatiotemporal attention-based sequence2sequence for multivariate wind speed prediction M Sibtain, X Li, S Saleem, Q Shi, F Li, H Apaydin Stochastic Environmental Research and Risk Assessment 39 (1), 343-359, 2025 | | 2025 |
| Multivariate runoff prediction by employing decomposition techniques, sample entropy, and sequence2sequence framework utilizing spatio-temporal attention M Sibtain, X Li, F Li, Q Shi, H Bashir, MI Azam, M Yaseen, S Saleem, ... | | 2022 |