[HTML][HTML] Water level prediction through hybrid SARIMA and ANN models based on time series analysis: Red hills reservoir case study
Reservoir water level (RWL) prediction has become a challenging task due to spatio-
temporal changes in climatic conditions and complicated physical process. The Red Hills …
temporal changes in climatic conditions and complicated physical process. The Red Hills …
[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 …
[HTML][HTML] Modeling of monthly rainfall and runoff of Urmia lake basin using “feed-forward neural network” and “time series analysis” model
J Farajzadeh, AF Fard, S Lotfi - Water Resources and Industry, 2014 - Elsevier
Urmia lake basin located in northwestern Iran is the second largest saline lake in the world.
Due to many reasons ie climate changes, several dam constructions, building a bridge …
Due to many reasons ie climate changes, several dam constructions, building a bridge …
Combining autoregressive integrated moving average with Long Short-Term Memory neural network and optimisation algorithms for predicting ground water level
ZS Khozani, FB Banadkooki, M Ehteram… - Journal of Cleaner …, 2022 - Elsevier
The groundwater resources are the essential sources for irrigation and agriculture
management. Forecasting groundwater levels (GWL) for the current and future periods is an …
management. Forecasting groundwater levels (GWL) for the current and future periods is an …
Inflow forecast of iranamadu reservoir, Sri Lanka, under projected climate scenarios using artificial neural networks
C Karunanayake, MB Gunathilake… - … Intelligence and Soft …, 2020 - Wiley Online Library
Prediction of water resources for future years takes much attention from the water resources
planners and relevant authorities. However, traditional computational models like hydrologic …
planners and relevant authorities. However, traditional computational models like hydrologic …
Ensuring a generalizable machine learning model for forecasting reservoir inflow in Kurdistan region of Iraq and Australia
SD Latif, AN Ahmed - Environment, Development and Sustainability, 2024 - Springer
Correct inflow prediction is a critical non-engineering measure for ensuring flood control and
increasing water supply efficiency. In addition, accurate inflow prediction can offer reservoir …
increasing water supply efficiency. In addition, accurate inflow prediction can offer reservoir …
[HTML][HTML] The use of large-scale climate indices in monthly reservoir inflow forecasting and its application on time series and artificial intelligence models
Climate variability is strongly influencing hydrological processes under complex weather
conditions, and it should be considered to forecast reservoir inflow for efficient dam …
conditions, and it should be considered to forecast reservoir inflow for efficient dam …
Hybrid support vector regression models with algorithm of innovative gunner for the simulation of groundwater level
Groundwater level time series is a prime factor for variety of groundwater studies and is of
great significance for the management of groundwater resources. Quality control of …
great significance for the management of groundwater resources. Quality control of …
Monthly reservoir inflow forecasting using a new hybrid SARIMA genetic programming approach
H Moeeni, H Bonakdari, I Ebtehaj - Journal of Earth System Science, 2017 - Springer
Forecasting reservoir inflow is one of the most important components of water resources and
hydroelectric systems operation management. Seasonal autoregressive integrated moving …
hydroelectric systems operation management. Seasonal autoregressive integrated moving …
[HTML][HTML] Kabul river flow prediction using automated ARIMA forecasting: A machine learning approach
The water level in a river defines the nature of flow and is fundamental to flood analysis.
Extreme fluctuation in water levels in rivers, such as floods and droughts, are catastrophic in …
Extreme fluctuation in water levels in rivers, such as floods and droughts, are catastrophic in …