Super ensemble learning for daily streamflow forecasting: large-scale demonstration and comparison with multiple machine learning algorithms
Sign Up to like & getrecommendations! Published in 2020 at "Neural Computing and Applications"
DOI: 10.1007/s00521-020-05172-3
Abstract: Daily streamflow forecasting through data-driven approaches is traditionally performed using a single machine learning algorithm. Existing applications are mostly restricted to examination of few case studies, not allowing accurate assessment of the predictive performance of… read more here.
Keywords: machine learning; ensemble learning; streamflow forecasting; super ensemble ... See more keywords
Forecasting Daily Streamflow Discharges Using Various Neural Network Models and Training Algorithms
Sign Up to like & getrecommendations! Published in 2018 at "KSCE Journal of Civil Engineering"
DOI: 10.1007/s12205-017-1933-7
Abstract: Streamflow forecasting based on past records is an important issue in both hydrologic engineering and hydropower reservoir management. In the study, three artificial Neural Network (NN) models, namely NN with well-known multi-layer perceptron (MLPNN), NN… read more here.
Keywords: models training; network models; time; daily streamflow ... See more keywords
Analysis of daily streamflow complexity by Kolmogorov measures and Lyapunov exponent
Sign Up to like & getrecommendations! Published in 2019 at "Physica A: Statistical Mechanics and its Applications"
DOI: 10.1016/j.physa.2019.03.041
Abstract: Abstract Analysis of daily streamflow variability in space and time is important for water resources planning, development, and management. The natural variability of streamflow is being complicated by anthropogenic influences and climate change, which may… read more here.
Keywords: complexity; analysis daily; streamflow complexity; kolmogorov ... See more keywords
Evaluating the performances of several artificial intelligence methods in forecasting daily streamflow time series for sustainable water resources management
Sign Up to like & getrecommendations! Published in 2021 at "Sustainable Cities and Society"
DOI: 10.1016/j.scs.2020.102562
Abstract: Abstract Accurate runoff forecasting plays an important role in guaranteeing the sustainable utilization and management of water resources. Artificial intelligence methods can provide new possibilities for runoff prediction when the underlying physical relationship cannot be… read more here.
Keywords: management; intelligence methods; water resources; artificial intelligence ... See more keywords
Coupling the Xinanjiang model and wavelet-based random forests method for improved daily streamflow simulation
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DOI: 10.2166/hydro.2021.111
Abstract: Daily streamflow modeling is an important tool for water resources management and flood mitigation. This study compared the performance of the Xinanjiang (XAJ) model and random forests (RF) method in a daily streamflow simulation, and… read more here.
Keywords: wavelet; forests method; xaj model; model ... See more keywords
Bias correction of simulated historical daily streamflow at ungauged locations by using independently estimated flow duration curves
Sign Up to like & getrecommendations! Published in 2018 at "Hydrology and Earth System Sciences"
DOI: 10.5194/hess-22-5741-2018
Abstract: Abstract. In many simulations of historical daily streamflow distributional bias arising from the distributional properties of residuals has been noted. This bias often presents itself as an underestimation of high streamflow and an overestimation of… read more here.
Keywords: using independently; bias correction; streamflow; historical daily ... See more keywords