Short-term streamflow time series prediction model by machine learning tool based on a data preprocessing technique and swarm intelligence algorithm
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Title
Short-term streamflow time series prediction model by machine learning tool based on a data preprocessing technique and swarm intelligence algorithm
Authors
Keywords
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Journal
HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES
Volume -, Issue -, Pages -
Publisher
Informa UK Limited
Online
2020-10-02
DOI
10.1080/02626667.2020.1828889
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Note: Only part of the references are listed.- Annual Streamflow Time Series Prediction Using Extreme Learning Machine Based on Gravitational Search Algorithm and Variational Mode Decomposition
- (2020) Wen-jing Niu et al. JOURNAL OF HYDROLOGIC ENGINEERING
- Monthly runoff time series prediction by variational mode decomposition and support vector machine based on quantum-behaved particle swarm optimization
- (2020) Zhong-kai Feng et al. JOURNAL OF HYDROLOGY
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- (2020) Zhong-kai Feng et al. JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT
- Harmonic Detection for Power Grids Using Adaptive Variational Mode Decomposition
- (2019) Guowei Cai et al. Energies
- Partial Discharge Fault Diagnosis Based on Multi-Scale Dispersion Entropy and a Hypersphere Multiclass Support Vector Machine
- (2019) Haikun Shang et al. Entropy
- A novel two-stage forecasting model based on error factor and ensemble method for multi-step wind power forecasting
- (2019) Yan Hao et al. APPLIED ENERGY
- Multi-step short-term wind speed forecasting approach based on multi-scale dominant ingredient chaotic analysis, improved hybrid GWO-SCA optimization and ELM
- (2019) Wenlong Fu et al. ENERGY CONVERSION AND MANAGEMENT
- CLU-CNNs: Object detection for medical images
- (2019) Zhuoling Li et al. NEUROCOMPUTING
- Improved dynamic programming for parallel reservoir system operation optimization
- (2019) Xiang Zeng et al. ADVANCES IN WATER RESOURCES
- Forecasting reservoir monthly runoff via ensemble empirical mode decomposition and extreme learning machine optimized by an improved gravitational search algorithm
- (2019) Wen-jing Niu et al. APPLIED SOFT COMPUTING
- Peak Operation Problem Solving for Hydropower Reservoirs by Elite-Guide Sine Cosine Algorithm with Gaussian Local Search and Random Mutation
- (2019) Shuai Liu et al. Energies
- An opposition-based sine cosine approach with local search for parameter estimation of photovoltaic models
- (2019) Huiling Chen et al. ENERGY CONVERSION AND MANAGEMENT
- Operation rule derivation of hydropower reservoir by k-means clustering method and extreme learning machine based on particle swarm optimization
- (2019) Zhong-kai Feng et al. JOURNAL OF HYDROLOGY
- An effective three-stage hybrid optimization method for source-network-load power generation of cascade hydropower reservoirs serving multiple interconnected power grids
- (2019) Zhong-kai Feng et al. JOURNAL OF CLEANER PRODUCTION
- Hybrid forecasting model for non-stationary daily runoff series: A case study in the Han River Basin, China
- (2019) Tuo Xie et al. JOURNAL OF HYDROLOGY
- Synchronization of memristive neural networks with leakage delay and parameters mismatch via event-triggered control
- (2019) Yuting Cao et al. NEURAL NETWORKS
- Passivity and passification of memristive recurrent neural networks with multi-proportional delays and impulse
- (2019) Yuxiao Wang et al. APPLIED MATHEMATICS AND COMPUTATION
- Ecological operation of cascade hydropower reservoirs by elite-guide gravitational search algorithm with Lévy flight local search and mutation
- (2019) Zhong-kai Feng et al. JOURNAL OF HYDROLOGY
- Sliding mode control of neural networks via continuous or periodic sampling event-triggering algorithm
- (2019) Shiqin Wang et al. NEURAL NETWORKS
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- (2019) Yanyi Cao et al. NEURAL NETWORKS
- Hybridizing sine cosine algorithm with differential evolution for global optimization and object tracking
- (2018) Hathiram Nenavath et al. APPLIED SOFT COMPUTING
- Optimization of hydropower reservoirs operation balancing generation benefit and ecological requirement with parallel multi-objective genetic algorithm
- (2018) Zhong-kai Feng et al. ENERGY
- ASCA-PSO: Adaptive sine cosine optimization algorithm integrated with particle swarm for pairwise local sequence alignment
- (2018) Mohamed Issa et al. EXPERT SYSTEMS WITH APPLICATIONS
- Parameter optimization of support vector regression based on sine cosine algorithm
- (2018) Sai Li et al. EXPERT SYSTEMS WITH APPLICATIONS
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- (2018) Xin-An Yin et al. JOURNAL OF CLEANER PRODUCTION
- Reservoir Inflow Forecast Using a Clustered Random Deep Fusion Approach in the Three Gorges Reservoir, China
- (2018) Yun Bai et al. JOURNAL OF HYDROLOGIC ENGINEERING
- Assessing the effects of adaptation measures on optimal water resources allocation under varied water availability conditions
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- (2018) Rui Pang et al. SOIL DYNAMICS AND EARTHQUAKE ENGINEERING
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- (2018) Rui Pang et al. SOIL DYNAMICS AND EARTHQUAKE ENGINEERING
- Generating Realistic Videos from Keyframes with Concatenated GANs
- (2018) Shiping Wen et al. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY
- Balancing flood risk and water supply in California: Policy search integrating short-term forecast ensembles with conjunctive use
- (2018) Munir Ahmad Nayak et al. WATER RESOURCES RESEARCH
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- (2018) Ranjeeta Bisoi et al. APPLIED SOFT COMPUTING
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- (2018) Dan Zhang et al. ENERGY CONVERSION AND MANAGEMENT
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- (2018) Shubham Gupta et al. KNOWLEDGE-BASED SYSTEMS
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- (2018) Zaher Mundher Yaseen et al. JOURNAL OF HYDROLOGY
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- (2018) Yuan Huang et al. JOURNAL OF HYDRAULIC ENGINEERING
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- (2016) Yun Bai et al. JOURNAL OF HYDROLOGY
- Forecasting daily streamflow using online sequential extreme learning machines
- (2016) Aranildo R. Lima et al. JOURNAL OF HYDROLOGY
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- (2015) Tongtiegang Zhao et al. JOURNAL OF HYDROLOGY
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- Optimal Operation of Multi-reservoir Systems Considering Time-lags of Flood Routing
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- Improving Forecasting Accuracy of Annual Runoff Time Series Using ARIMA Based on EEMD Decomposition
- (2015) Wen-chuan Wang et al. WATER RESOURCES MANAGEMENT
- Variational Mode Decomposition
- (2014) Konstantin Dragomiretskiy et al. IEEE TRANSACTIONS ON SIGNAL PROCESSING
- Operating Rules Derivation of Jinsha Reservoirs System with Parameter Calibrated Support Vector Regression
- (2014) Chang-ming Ji et al. WATER RESOURCES MANAGEMENT
- Predictability of nonstationary time series using wavelet and EMD based ARMA models
- (2013) L. Karthikeyan et al. JOURNAL OF HYDROLOGY
- Prediction of extreme rainfall event using weather pattern recognition and support vector machine classifier
- (2013) Munir Ahmad Nayak et al. THEORETICAL AND APPLIED CLIMATOLOGY
- Short-term optimal operation of Three-gorge and Gezhouba cascade hydropower stations in non-flood season with operation rules from data mining
- (2012) Chao Ma et al. ENERGY CONVERSION AND MANAGEMENT
- Prediction of rainfall time series using modular soft computingmethods
- (2012) C.L. Wu et al. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
- Calibration of Xinanjiang model parameters using hybrid genetic algorithm based fuzzy optimal model
- (2012) Wen-Chuan Wang et al. JOURNAL OF HYDROINFORMATICS
- Comparison of three global optimization algorithms for calibration of the Xinanjiang model parameters
- (2012) Dong-mei Xu et al. JOURNAL OF HYDROINFORMATICS
- Artificial Neural Network Models of Watershed Nutrient Loading
- (2012) Raymond J. Kim et al. WATER RESOURCES MANAGEMENT
- Extreme Learning Machine for Regression and Multiclass Classification
- (2011) Guang-Bin Huang et al. IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS
- Daily streamflow forecasting by machine learning methods with weather and climate inputs
- (2011) Kabir Rasouli et al. JOURNAL OF HYDROLOGY
- Extreme learning machines: a survey
- (2011) Guang-Bin Huang et al. International Journal of Machine Learning and Cybernetics
- Data-driven models for monthly streamflow time series prediction
- (2010) C.L. Wu et al. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
- Probabilities for ensemble forecasts reflecting climate information
- (2010) Jery R. Stedinger et al. JOURNAL OF HYDROLOGY
- OPTIMIZING ENVIRONMENTAL FLOWS BELOW DAMS
- (2010) X. A. Yin et al. RIVER RESEARCH AND APPLICATIONS
- Simulation with RBF Neural Network Model for Reservoir Operation Rules
- (2010) Yi-min Wang et al. WATER RESOURCES MANAGEMENT
- A comparison of performance of several artificial intelligence methods for forecasting monthly discharge time series
- (2009) Wen-Chuan Wang et al. JOURNAL OF HYDROLOGY
- River stage prediction based on a distributed support vector regression
- (2008) C.L. Wu et al. JOURNAL OF HYDROLOGY
- Evaluation of Economic and Hydrologic Impacts of Unified Water Flow Regulation in the Yellow River Basin
- (2008) Jianshi Zhao et al. WATER RESOURCES MANAGEMENT
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