Hydrological time series forecasting via signal decomposition and twin support vector machine using cooperation search algorithm for parameter identification

Carbon price forecasting based on CEEMDAN and LSTM

(2022) Feite Zhou et al.   APPLIED ENERGY

Parallel cooperation search algorithm and artificial intelligence method for streamflow time series forecasting

(2022) Zhong-kai Feng et al.   JOURNAL OF HYDROLOGY

An overview on twin support vector regression

(2022) Huajuan Huang et al.   NEUROCOMPUTING

Adaptive Neural-Based Fuzzy Inference System and Cooperation Search Algorithm for Simulating and Predicting Discharge Time Series Under Hydropower Reservoir Operation

(2022) Zhong-kai Feng et al.   WATER RESOURCES MANAGEMENT

China’s hydropower energy system toward carbon neutrality

(2022) Zhongkai Feng et al.   Frontiers of Engineering Management

On robust asymmetric Lagrangian ν-twin support vector regression using pinball loss function

(2021) Deepak Gupta et al.   APPLIED SOFT COMPUTING

On Lagrangian L2-norm pinball twin bounded support vector machine via unconstrained convex minimization

(2021) Subhash Chandra Prasad et al.   INFORMATION SCIENCES

Twin support vector machines with privileged information

(2021) Zhiyong Che et al.   INFORMATION SCIENCES

Fuzzy least squares projection twin support vector machines for class imbalance learning

(2021) M.A. Ganaie et al.   APPLIED SOFT COMPUTING

Intuitionistic fuzzy twin support vector machines with the insensitive pinball loss

(2021) Zhizheng Liang et al.   APPLIED SOFT COMPUTING

Short-term forecasting of natural gas prices by using a novel hybrid method based on a combination of the CEEMDAN-SE-and the PSO-ALS-optimized GRU network

(2021) Jun Wang et al.   ENERGY

Regularized twin minimax probability machine for pattern classification and regression

(2021) Jun Ma et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

A new scheme for probabilistic forecasting with an ensemble model based on CEEMDAN and AM-MCMC and its application in precipitation forecasting

(2021) Yinan Wang et al.   EXPERT SYSTEMS WITH APPLICATIONS

Capped L1-norm distance metric-based fast robust twin bounded support vector machine

(2020) Jun Ma et al.   NEUROCOMPUTING

Hourly forecasting of solar irradiance based on CEEMDAN and multi-strategy CNN-LSTM neural networks

(2020) Bixuan Gao et al.   RENEWABLE ENERGY

MBSVR: Multiple birth support vector regression

(2020) Zichen Zhang et al.   INFORMATION SCIENCES

Two-phase extreme learning machines integrated with the complete ensemble empirical mode decomposition with adaptive noise algorithm for multi-scale runoff prediction problems

(2019) Xiaohu Wen et al.   JOURNAL OF HYDROLOGY

Optimization of fuzzy membership function of runoff forecasting error based on the optimal closeness

(2019) Zhiqiang Jiang et al.   JOURNAL OF HYDROLOGY

Extreme learning machine-based prediction of daily water temperature for rivers

(2019) Senlin Zhu et al.   Environmental Earth Sciences

Advance short-term wind energy quality assessment based on instantaneous standard deviation and variogram of wind speed by a hybrid method

(2019) Guangbiao Liu et al.   APPLIED ENERGY

Least square support vector machine and multivariate adaptive regression splines for streamflow prediction in mountainous basin using hydro-meteorological data as inputs

(2019) Rana Muhammad Adnan et al.   JOURNAL OF HYDROLOGY

Long-term optimal operation of cascade hydropower stations based on the utility function of the carryover potential energy

(2019) Qiao-Feng Tan et al.   JOURNAL OF HYDROLOGY

Hydropower plant operation rules optimization response to climate change

(2018) Jianxia Chang et al.   ENERGY

Error correction-based forecasting of reservoir water levels: Improving accuracy over multiple lead times

(2018) Xiaojing Zhang et al.   ENVIRONMENTAL MODELLING & SOFTWARE

PTSVRs: Regression models via projection twin support vector machine

(2018) Xinjun Peng et al.   INFORMATION SCIENCES

An adaptive middle and long-term runoff forecast model using EEMD-ANN hybrid approach

(2018) Qiao-Feng Tan et al.   JOURNAL OF HYDROLOGY

Assessing the effects of adaptation measures on optimal water resources allocation under varied water availability conditions

(2018) Dedi Liu et al.   JOURNAL OF HYDROLOGY

Development of Multivariable Dynamic System Response Curve Method for Real-Time Flood Forecasting Correction

(2018) Y. Sun et al.   WATER RESOURCES RESEARCH

A robust method for non-stationary streamflow prediction based on improved EMD-SVM model

(2018) Erhao Meng et al.   JOURNAL OF HYDROLOGY

Climate change driven water budget dynamics of a Tibetan inland lake

(2017) Binquan Li et al.   GLOBAL AND PLANETARY CHANGE

Evaluation of medium-range ensemble flood forecasting based on calibration strategies and ensemble methods in Lanjiang Basin, Southeast China

(2017) Li Liu et al.   JOURNAL OF HYDROLOGY

Developing reservoir monthly inflow forecasts using artificial intelligence and climate phenomenon information

(2017) Tiantian Yang et al.   WATER RESOURCES RESEARCH

Stream-flow forecasting using extreme learning machines: A case study in a semi-arid region in Iraq

(2016) Zaher Mundher Yaseen et al.   JOURNAL OF HYDROLOGY

TWSVR: Regression via Twin Support Vector Machine

(2016) Reshma Khemchandani et al.   NEURAL NETWORKS

Improving forecasting accuracy of medium and long-term runoff using artificial neural network based on EEMD decomposition

(2015) Wen-chuan Wang et al.   ENVIRONMENTAL RESEARCH

Extreme Learning Machines: A new approach for prediction of reference evapotranspiration

(2015) Shafika Sultan Abdullah et al.   JOURNAL OF HYDROLOGY

Contrastive analysis of three parallel modes in multi-dimensional dynamic programming and its application in cascade reservoirs operation

(2015) Yanke Zhang et al.   JOURNAL OF HYDROLOGY

Synergistic gains from the multi-objective optimal operation of cascade reservoirs in the Upper Yellow River basin

(2015) Tao Bai et al.   JOURNAL OF HYDROLOGY

Neural network river forecasting through baseflow separation and binary-coded swarm optimization

(2015) Riccardo Taormina et al.   JOURNAL OF HYDROLOGY

Data-driven input variable selection for rainfall–runoff modeling using binary-coded particle swarm optimization and Extreme Learning Machines

(2015) Riccardo Taormina et al.   JOURNAL OF HYDROLOGY

Improved Simulation of Peak Flows under Climate Change: Postprocessing or Composite Objective Calibration?

(2015) Xujie Zhang et al.   JOURNAL OF HYDROMETEOROLOGY

Improving Forecasting Accuracy of Annual Runoff Time Series Using ARIMA Based on EEMD Decomposition

(2015) Wen-chuan Wang et al.   WATER RESOURCES MANAGEMENT

Hydrologic response of a high altitude glacierized basin in the central Tibetan Plateau

(2014) Binquan Li et al.   GLOBAL AND PLANETARY CHANGE

Monthly streamflow prediction using modified EMD-based support vector machine

(2014) Shengzhi Huang et al.   JOURNAL OF HYDROLOGY

Quantifying the dependence between extreme rainfall and storm surge in the coastal zone

(2013) Feifei Zheng et al.   JOURNAL OF HYDROLOGY

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 artificial neural networks coupled with data-preprocessing techniques

(2010) C.L. Wu et al.   JOURNAL OF HYDROLOGY

A comparison of performance of several artificial intelligence methods for forecasting monthly discharge time series

(2009) Wen-Chuan Wang et al.   JOURNAL OF HYDROLOGY

Support vector machine-based models for hourly reservoir inflow forecasting during typhoon-warning periods

(2009) Gwo-Fong Lin et al.   JOURNAL OF HYDROLOGY

TSVR: An efficient Twin Support Vector Machine for regression

(2009) Xinjun Peng   NEURAL NETWORKS

Evaluation of Economic and Hydrologic Impacts of Unified Water Flow Regulation in the Yellow River Basin

(2008) Jianshi Zhao et al.   WATER RESOURCES MANAGEMENT