Applications of hybrid models in chemical, petroleum, and energy systems: A systematic review
Mathematical modeling and simulation methods are important tools in studying various
processes in science and engineering. In the current review, we focus on the applications of …
processes in science and engineering. In the current review, we focus on the applications of …
Renewable energy: Present research and future scope of Artificial Intelligence
The existence of sunlight, air and other resources on earth must be used in an appropriate
way for human welfare while still protecting the environment and its living creatures. The …
way for human welfare while still protecting the environment and its living creatures. The …
Modeling and simulating of reservoir operation using the artificial neural network, support vector regression, deep learning algorithm
Reservoirs and dams are vital human-built infrastructures that play essential roles in flood
control, hydroelectric power generation, water supply, navigation, and other functions. The …
control, hydroelectric power generation, water supply, navigation, and other functions. The …
A comparison of performance of several artificial intelligence methods for forecasting monthly discharge time series
Develo** a hydrological forecasting model based on past records is crucial to effective
hydropower reservoir management and scheduling. Traditionally, time series analysis and …
hydropower reservoir management and scheduling. Traditionally, time series analysis and …
Real-time reservoir operation using recurrent neural networks and inflow forecast from a distributed hydrological model
Large-scale reservoirs play an essential role in water resources management for agriculture
irrigation, water supply and flood controls. However, we need robust reservoir operation …
irrigation, water supply and flood controls. However, we need robust reservoir operation …
Reservoir optimization in water resources: a review
This paper reviews current optimization technique developed to solve reservoir operation
problems in water resources. The application of conventional, especially evolutionary …
problems in water resources. The application of conventional, especially evolutionary …
Simulation–optimization modeling: a survey and potential application in reservoir systems operation
This paper presents a survey of simulation and optimization modeling approaches used in
reservoir systems operation problems. Optimization methods have been proved of much …
reservoir systems operation problems. Optimization methods have been proved of much …
Adaptive neuro-fuzzy inference system for prediction of water level in reservoir
Accurate prediction of the water level in a reservoir is crucial to optimizing the management
of water resources. A neuro-fuzzy hybrid approach was used to construct a water level …
of water resources. A neuro-fuzzy hybrid approach was used to construct a water level …
A comparison of various artificial intelligence approaches performance for estimating suspended sediment load of river systems: a case study in United States
Accurate and reliable suspended sediment load (SSL) prediction models are necessary for
planning and management of water resource structures. More recently, soft computing …
planning and management of water resource structures. More recently, soft computing …
Adaptive neuro-fuzzy inference system coupled with shuffled frog lea** algorithm for predicting river streamflow time series
Accurate runoff forecasting plays a key role in catchment water management and water
resources system planning. To improve the prediction accuracy, one needs to strive to …
resources system planning. To improve the prediction accuracy, one needs to strive to …