Add to ORKGReservoir water level forecasting is vital in reservoir operation and management.The output of the forecasting model can be used in reservoir decision support systems.This study demonstrates the application of Artificial Neural Network (ANN) in developing the forecasting model for the change of reservoir water level stage.In this study, sliding window technique has been used to extract the temporal pattern that represents time delays in the reservoir water level. The patterns are used as input to the ANN model.The results show that a model with 4 days of time delay has produced the acceptable performance with both low error rate and high accuracy
Many non-parametric techniques such as Neural Network (NN) are used to forecast current reservoir wa...
Reservoir is one of the emergency environments that required fast an accurate decision to reduce flo...
Reliable water level forecasting can help achieve efficient and optimum use of water resources and m...
Artificial Neural Network is one of the computational algorithms that can be applied in developing a...
Artificial Neural Network is one of the computational algorithms that can be applied in developing a...
Reservoir is one of the structural defense mechanism for flood. During heavy rainfall, reservoir h...
Reservoir dam is one of the defense mechanism for both flood and drought disasters.During flood, the...
Abstract—The reservoir is one of flood mitigation methods that aim to reduce the effect of flood at ...
Neural Network (NN) has been the most popular technique used in predicting Reservoir Water Level (RW...
Flood is among the major disasters in Malaysia. Flood occurs when the existing waterways are unable ...
Decision on reservoir water release is crucial during both intense and less intense rainfall season...
Flood forecasting models are a necessity, as they help in planning for flood events, and thus help p...
Reservoir water level is a level of storage space for water.During heavy rainfall, waterstorage spac...
Reservoir level modeling is important for the operation of dam reservoir, design of hydraulic struc...
During emergencies such as flood and drought seasons, reservoir acts as a defence mechanism to reduc...
Many non-parametric techniques such as Neural Network (NN) are used to forecast current reservoir wa...
Reservoir is one of the emergency environments that required fast an accurate decision to reduce flo...
Reliable water level forecasting can help achieve efficient and optimum use of water resources and m...
Artificial Neural Network is one of the computational algorithms that can be applied in developing a...
Artificial Neural Network is one of the computational algorithms that can be applied in developing a...
Reservoir is one of the structural defense mechanism for flood. During heavy rainfall, reservoir h...
Reservoir dam is one of the defense mechanism for both flood and drought disasters.During flood, the...
Abstract—The reservoir is one of flood mitigation methods that aim to reduce the effect of flood at ...
Neural Network (NN) has been the most popular technique used in predicting Reservoir Water Level (RW...
Flood is among the major disasters in Malaysia. Flood occurs when the existing waterways are unable ...
Decision on reservoir water release is crucial during both intense and less intense rainfall season...
Flood forecasting models are a necessity, as they help in planning for flood events, and thus help p...
Reservoir water level is a level of storage space for water.During heavy rainfall, waterstorage spac...
Reservoir level modeling is important for the operation of dam reservoir, design of hydraulic struc...
During emergencies such as flood and drought seasons, reservoir acts as a defence mechanism to reduc...
Many non-parametric techniques such as Neural Network (NN) are used to forecast current reservoir wa...
Reservoir is one of the emergency environments that required fast an accurate decision to reduce flo...
Reliable water level forecasting can help achieve efficient and optimum use of water resources and m...