Short-term rainfall forecasting using machine learning-based approaches of PSO-SVR, LSTM and CNN
Short-term rainfall forecasting plays an important role in hydrologic modeling and water
resource management problems such as flood warning and real time control of urban …
resource management problems such as flood warning and real time control of urban …
[PDF][PDF] Rainfall prediction using data mining techniques: A systematic literature review
Rainfall prediction is one of the challenging tasks in weather forecasting. Accurate and
timely rainfall prediction can be very helpful to take effective security measures in advance …
timely rainfall prediction can be very helpful to take effective security measures in advance …
Knowledge discovery in geographical sciences—A systematic survey of various machine learning algorithms for rainfall prediction
One of the biggest challenges faced by humanity over time is weather prediction. Rainfall
prediction plays a critical role in agricultural sciences, besides it is pivotal in the prediction of …
prediction plays a critical role in agricultural sciences, besides it is pivotal in the prediction of …
[HTML][HTML] Machine learning application in reservoir water level forecasting for sustainable hydropower generation strategy
M Sapitang, W M. Ridwan, K Faizal Kushiar… - Sustainability, 2020 - mdpi.com
The aim of this study is to accurately forecast the changes in water level of a reservoir
located in Malaysia with two different scenarios; Scenario 1 (SC1) includes rainfall and …
located in Malaysia with two different scenarios; Scenario 1 (SC1) includes rainfall and …
Real-time water level prediction of cascaded channels based on multilayer perception and recurrent neural network
Water level prediction is crucial to water diversion through cascaded channels, and the
prediction accuracies are still unsatisfying due to the difficulties and challenges caused by …
prediction accuracies are still unsatisfying due to the difficulties and challenges caused by …
[HTML][HTML] Dam water level prediction using vector autoregression, random forest regression and MLP-ANN models based on land-use and climate factors
YO Ouma, DB Moalafhi, G Anderson, B Nkwae… - Sustainability, 2022 - mdpi.com
To predict the variability of dam water levels, parametric Multivariate Linear Regression
(MLR), stochastic Vector AutoRegressive (VAR), Random Forest Regression (RFR) and …
(MLR), stochastic Vector AutoRegressive (VAR), Random Forest Regression (RFR) and …
Comparative performance analysis of Levenberg-Marquardt, Bayesian regularization and scaled conjugate gradient for the prediction of flash floods
Severe flash floods are the root cause of the increased death toll of humans, cattle, and
devastation of infrastructure in various countries. Flash floods can be considered as one of …
devastation of infrastructure in various countries. Flash floods can be considered as one of …
[PDF][PDF] A hybrid adaptive grey wolf Levenberg-Marquardt (GWLM) and nonlinear autoregressive with exogenous input (NARX) neural network model for the prediction …
Rainfall prediction, a type of weather forecasting, has a big impact on agriculture and
farming, as well as other industries like natural disaster management. One of the most …
farming, as well as other industries like natural disaster management. One of the most …
[HTML][HTML] Hourly water level forecasting at tributary affected by main river condition
This study develops hourly water level forecasting models with lead-times of 1 to 3 h using
an artificial neural network (ANN) for Anyangcheon stream, one of the major tributaries of the …
an artificial neural network (ANN) for Anyangcheon stream, one of the major tributaries of the …
Weighted error-output recurrent echo kernel state network for multi-step water level prediction
With development of information techniques in navigation and shipping, machine learning
algorithms are applied in enhancing navigation safety. One of critical areas, which attracts …
algorithms are applied in enhancing navigation safety. One of critical areas, which attracts …