Muhammad Sibtain - Concepedia

Author

Muhammad Sibtain

China Three Gorges University ORCID

Also Known As

Muhammad Sibtain, Syed Muhammad Sibtain Raza Naqvi

Publications

431

Citations

H-Index

Concepts

All Affiliations

China Three Gorges University Hunan University National University of Modern Languages Ankara University University of the Punjab

About

Muhammad Sibtain is an author at China Three Gorges University specializing in engineering, data science, and forecasting.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	9	9	349
2	Data Science	8	8	289
3	Civil Engineering	3	3	73
4	Management	2	2	65
5	Computer Science	1	1	27

Muhammad Sibtain

Publications

389

Citations

H-Index

Page 1

	Year	Citations
A Hybrid Forecasting Model for Short-Term Power Load Based on Sample Entropy, Two-Phase Decomposition and Whale Algorithm Optimized Support Vector Regression Wenwu Li, Qiang Shi, Muhammad Sibtain, IEEE Access Sample EntropyForecasting MethodologyEngineeringHybrid ModelData Science	2020	78
Hydropower exploitation for Pakistan's sustainable development: A SWOT analysis considering current situation, challenges, and prospects Muhammad Sibtain, Xianshan Li, Hassan Bashir, Energy Strategy Reviews EngineeringWater UtilityWater ResourcesWater EnergySustainable Energy	2021	60
A multivariate ultra-short-term wind speed forecasting model by employing multistage signal decomposition approaches and a deep learning network Muhammad Sibtain, Hassan Bashir, Mohsin Nawaz, Energy Conversion and Management Forecasting MethodologyNumerical Weather PredictionEngineeringMachine LearningData Science	2022	52
A multivariate streamflow forecasting model by integrating improved complete ensemble empirical mode decomposition with additive noise, sample entropy, Gini index and sequence-to-sequence approaches Halit Apaydın, Muhammad Sibtain Journal of Hydrology MeteorologySample EntropyForecasting MethodologyEngineeringData Science	2021	38
A Multistage Hybrid Model ICEEMDAN-SE-VMD-RDPG for a Multivariate Solar Irradiance Forecasting Muhammad Sibtain, Xianshan Li, Snoober Saleem, IEEE Access EngineeringComputational ModelGlobal Horizontal IrradianceClimate ModelingEarth Science	2021	31
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, Pakistan Muhammad Sibtain, Xianshan Li, Ghulam Nabi, Discrete Dynamics in Nature and Society Hydrological PredictionEnvironmental MonitoringEngineeringMachine Learning ApproachMultilayer Perceptron	2020	28
A Multivariate and Multistage Medium- and Long-Term Streamflow Prediction Based on an Ensemble of Signal Decomposition Techniques with a Deep Learning Network Muhammad Sibtain, Xianshan Li, Snoober Saleem Advances in Meteorology EngineeringMachine LearningStreamflow PredictionDeep Learning NetworkWeather Forecasting	2020	27
Applicability of a Three-Stage Hybrid Model byEmploying a Two-Stage Signal DecompositionApproach and a Deep Learning Methodologyfor Runoff Forecasting at Swat River Catchment,Pakistan Muhammad Sibtain, Xianshan Li, Muhammad Imran Azam, Polish Journal of Environmental Studies	2020	20
A Hybrid Model for Runoff Prediction Using Variational Mode Decomposition and Artificial Neural Network Muhammad Sibtain, Xianshan Li, Hassan Bashir, Water Resources	2021	20
Improving reservoir inflow prediction via rolling window and deep learning-based multi-model approach: case study from Ermenek Dam, Turkey Hajar Feizi, Halit Apaydın, Mohammad Taghi Sattari, Stochastic Environmental Research and Risk Assessment Reservoir SimulationEngineeringWater ResourcesData ScienceCivil Engineering	2022	18

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