Modeling and predicting rainfall time series using seasonal-trend decomposition and machine learning
出版年份 2022 全文链接
标题
Modeling and predicting rainfall time series using seasonal-trend decomposition and machine learning
作者
关键词
Rainfall time series prediction, Seasonal-trend decomposition, Machine learning, Rainfall intensity level classification
出版物
KNOWLEDGE-BASED SYSTEMS
Volume -, Issue -, Pages 109125
出版商
Elsevier BV
发表日期
2022-05-31
DOI
10.1016/j.knosys.2022.109125
参考文献
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- (2021) Binh Thai Pham et al. KNOWLEDGE-BASED SYSTEMS
- Rainfall prediction using optimally pruned extreme learning machines
- (2021) Huajin Li et al. Natural Hazards
- Artificial intelligence modelling integrated with Singular Spectral analysis and Seasonal-Trend decomposition using Loess approaches for streamflow predictions
- (2021) Halit Apaydin et al. JOURNAL OF HYDROLOGY
- Robust Meteorological Drought Prediction Using Antecedent SST Fluctuations and Machine Learning
- (2021) Jun Li et al. WATER RESOURCES RESEARCH
- Examining the Applicability of Wavelet Packet Decomposition on Different Forecasting Models in Annual Rainfall Prediction
- (2021) Hua Wang et al. Water
- A comparative study of extensive machine learning models for predicting long‐term monthly rainfall with an ensemble of climatic and meteorological predictors
- (2021) Zhengzheng Zhou et al. HYDROLOGICAL PROCESSES
- A novel grey prediction model for seasonal time series
- (2021) Weijie Zhou et al. KNOWLEDGE-BASED SYSTEMS
- Skilful precipitation nowcasting using deep generative models of radar
- (2021) Suman Ravuri et al. NATURE
- Complete ensemble empirical mode decomposition hybridized with random forest and kernel ridge regression model for monthly rainfall forecasts
- (2020) Mumtaz Ali et al. JOURNAL OF HYDROLOGY
- Short-Term Traffic Speed Prediction Method for Urban Road Sections Based on Wavelet Transform and Gated Recurrent Unit
- (2020) Xin Fu et al. MATHEMATICAL PROBLEMS IN ENGINEERING
- Real‐time flood forecasting based on a high‐performance 2D hydrodynamic model and numerical weather predictions
- (2020) Xiaodong Ming et al. WATER RESOURCES RESEARCH
- Data-driven estimation of building energy consumption with multi-source heterogeneous data
- (2020) Yue Pan et al. APPLIED ENERGY
- Development of advanced artificial intelligence models for daily rainfall prediction
- (2020) Binh Thai Pham et al. ATMOSPHERIC RESEARCH
- A novel displacement prediction method using gated recurrent unit model with time series analysis in the Erdaohe landslide
- (2020) Yong-gang Zhang et al. Natural Hazards
- Hybrid artificial neural network and cooperation search algorithm for nonlinear river flow time series forecasting in humid and semi-humid regions
- (2020) Zhong-kai Feng et al. KNOWLEDGE-BASED SYSTEMS
- Novel Hybrid Data-Intelligence Model for Forecasting Monthly Rainfall with Uncertainty Analysis
- (2019) Zaher Yaseen et al. Water
- LightGBM-PPI: Predicting protein-protein interactions through LightGBM with multi-information fusion
- (2019) Cheng Chen et al. CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
- A Synergistic Use of a High-Resolution Numerical Weather Prediction Model and High-Resolution Earth Observation Products to Improve Precipitation Forecast
- (2019) Martina Lagasio et al. Remote Sensing
- A Comparative Assessment of Models to Predict Monthly Rainfall in Australia
- (2018) Adil M. Bagirov et al. WATER RESOURCES MANAGEMENT
- A SVR-ANN combined model based on ensemble EMD for rainfall prediction
- (2018) Yu Xiang et al. APPLIED SOFT COMPUTING
- Forecasting the demand of the aviation industry using hybrid time series SARIMA-SVR approach
- (2018) Shuojiang Xu et al. TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
- Estimating Summertime Precipitation from Himawari-8 and Global Forecast System Based on Machine Learning
- (2018) Min Min et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- An extensive evaluation of seven machine learning methods for rainfall prediction in weather derivatives
- (2017) Sam Cramer et al. EXPERT SYSTEMS WITH APPLICATIONS
- Selection of meteorological parameters affecting rainfall estimation using neuro-fuzzy computing methodology
- (2016) Roslan Hashim et al. ATMOSPHERIC RESEARCH
- Seasonal predictions of precipitation in the Aksu-Tarim River basin for improved water resources management
- (2016) Heike Hartmann et al. GLOBAL AND PLANETARY CHANGE
- Predictors of precipitation for improved water resources management in the Tarim River basin: Creating a seasonal forecast model
- (2016) Heike Hartmann et al. JOURNAL OF ARID ENVIRONMENTS
- The quiet revolution of numerical weather prediction
- (2015) Peter Bauer et al. NATURE
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