Suivre
Muhammad Sibtain
Muhammad Sibtain
China Three Gorges University
Adresse e-mail validée de ctgu.edu.cn
Titre
Citée par
Citée par
Année
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
542020
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
412021
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
232021
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, 2020
232020
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
222022
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, 1-19, 2020
222020
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
192021
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
162021
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
122021
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
72022
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
52022
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
42023
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
42023
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), 2022
22022
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, 1-20, 2024
2024
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
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
2021
Le système ne peut pas réaliser cette opération maintenant. Veuillez réessayer plus tard.
Articles 1–17