Forecasting multi-step-ahead reservoir monthly and daily inflow using machine learning models based on different scenarios
Published 2022 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Forecasting multi-step-ahead reservoir monthly and daily inflow using machine learning models based on different scenarios
Authors
Keywords
-
Journal
APPLIED INTELLIGENCE
Volume -, Issue -, Pages -
Publisher
Springer Science and Business Media LLC
Online
2022-08-26
DOI
10.1007/s10489-022-04029-7
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Suspended sediment load prediction using long short-term memory neural network
- (2021) Nouar AlDahoul et al. Scientific Reports
- Monthly inflow forecasting utilizing advanced artificial intelligence methods: a case study of Haditha Dam in Iraq
- (2021) Mohammed Falah Allawi et al. STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT
- Application of artificial intelligence algorithms for hourly river level forecast: A case study of Muda River, Malaysia
- (2021) Muhamad Nur Adli Zakaria et al. Alexandria Engineering Journal
- A review of the hybrid artificial intelligence and optimization modelling of hydrological streamflow forecasting
- (2021) Karim Sherif Mostafa Hassan Ibrahim et al. Alexandria Engineering Journal
- A supervised learning approach for optimal selection of bidding strategies in reservoir hydro
- (2020) Hans Ole Riddervold et al. ELECTRIC POWER SYSTEMS RESEARCH
- Application of static and dynamic artificial neural networks for forecasting inflow discharges, case study: Sefidroud Dam reservoir
- (2020) Pedram Pishgah Hadiyan et al. Sustainable Computing-Informatics & Systems
- Application of adaptive network-based fuzzy inference system (ANFIS) in the numerical investigation of Cu/water nanofluid convective flow
- (2020) Azam Marjani et al. Case Studies in Thermal Engineering
- The Use of Large-Scale Climate Indices in Monthly Reservoir Inflow Forecasting and Its Application on Time Series and Artificial Intelligence Models
- (2019) Taereem Kim et al. Water
- A Comparative Study of MLR, KNN, ANN and ANFIS Models with Wavelet Transform in Monthly Stream Flow Prediction
- (2019) Ahmad Khazaee Poul et al. WATER RESOURCES MANAGEMENT
- Speed up grid-search for parameter selection of support vector machines
- (2019) Hatem A. Fayed et al. APPLIED SOFT COMPUTING
- Hybrid models to improve the monthly river flow prediction: Integrating artificial intelligence and non-linear time series models
- (2019) Farshad Fathian et al. JOURNAL OF HYDROLOGY
- Comparison of support vector regression and extreme gradient boosting for decomposition-based data-driven 10-day streamflow forecasting
- (2019) Xiang Yu et al. JOURNAL OF HYDROLOGY
- Physical-empirical models for prediction of seasonal rainfall extremes of Peninsular Malaysia
- (2019) Sahar Hadi Pour et al. ATMOSPHERIC RESEARCH
- Machine learning-based compressive strength prediction for concrete: An adaptive boosting approach
- (2019) De-Cheng Feng et al. CONSTRUCTION AND BUILDING MATERIALS
- Comparison of Support Vector Machine and Extreme Gradient Boosting for predicting daily global solar radiation using temperature and precipitation in humid subtropical climates: A case study in China
- (2018) Junliang Fan et al. ENERGY CONVERSION AND MANAGEMENT
- Review on applications of artificial intelligence methods for dam and reservoir-hydro-environment models
- (2018) Mohammed Falah Allawi et al. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
- Fast and Flexible Selective Harmonic Extraction Methods Based on the Generalized Discrete Fourier Transform
- (2018) Huawu Liu et al. IEEE TRANSACTIONS ON POWER ELECTRONICS
- A data-driven model based on Fourier transform and support vector regression for monthly reservoir inflow forecasting
- (2018) Xiang Yu et al. Journal of Hydro-environment Research
- Modeling and simulating of reservoir operation using the artificial neural network, support vector regression, deep learning algorithm
- (2018) Di Zhang et al. JOURNAL OF HYDROLOGY
- A multi-stage methodology for selecting input variables in ANN forecasting of river flows
- (2017) Global NEST Journal
- Reservoir operations under climate change: Storage capacity options to mitigate risk
- (2017) Nima Ehsani et al. JOURNAL OF HYDROLOGY
- Real-time eutrophication status evaluation of coastal waters using support vector machine with grid search algorithm
- (2017) Xianyu Kong et al. MARINE POLLUTION BULLETIN
- Reservoir inflow forecasting with a modified coactive neuro-fuzzy inference system: a case study for a semi-arid region
- (2017) Mohammed Falah Allawi et al. THEORETICAL AND APPLIED CLIMATOLOGY
- Application of Support Vector Machine, Random Forest, and Genetic Algorithm Optimized Random Forest Models in Groundwater Potential Mapping
- (2017) Seyed Amir Naghibi et al. WATER RESOURCES MANAGEMENT
- Rainfall Pattern Forecasting Using Novel Hybrid Intelligent Model Based ANFIS-FFA
- (2017) Zaher Mundher Yaseen et al. WATER RESOURCES MANAGEMENT
- Developing reservoir monthly inflow forecasts using artificial intelligence and climate phenomenon information
- (2017) Tiantian Yang et al. WATER RESOURCES RESEARCH
- The future role of dams in the United States of America
- (2017) Michelle Ho et al. WATER RESOURCES RESEARCH
- Streamflow estimation by support vector machine coupled with different methods of time series decomposition in the upper reaches of Yangtze River, China
- (2016) Shuang Zhu et al. Environmental Earth Sciences
- Additive Model for Monthly Reservoir Inflow Forecast
- (2015) Yun Bai et al. JOURNAL OF HYDROLOGIC ENGINEERING
- Daily water level forecasting using wavelet decomposition and artificial intelligence techniques
- (2015) Youngmin Seo et al. JOURNAL OF HYDROLOGY
- Impacts of Near-Term Climate Change and Population Growth on Within-Year Reservoir Systems
- (2015) Harminder Singh et al. JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT
- A comparison of Artificial Neural Networks (ANN) and Local Linear Regression (LLR) techniques for predicting monthly reservoir levels
- (2015) Muhammad Ali Shamim et al. KSCE Journal of Civil Engineering
- Effects of rainfall patterns on water quality in a stratified reservoir subject to eutrophication: Implications for management
- (2015) Xuan Li et al. SCIENCE OF THE TOTAL ENVIRONMENT
- Lake Level Forecasting Using Wavelet-SVR, Wavelet-ANFIS and Wavelet-ARMA Conjunction Models
- (2015) Maryam Shafaei et al. WATER RESOURCES MANAGEMENT
- Streamflow Forecasting and Estimation Using Least Square Support Vector Regression and Adaptive Neuro-Fuzzy Embedded Fuzzy c-means Clustering
- (2015) Ozgur Kisi WATER RESOURCES MANAGEMENT
- Impacts of Near-Term Climate Change and Population Growth on Within-Year Reservoir Systems
- (2015) Harminder Singh et al. JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT
- Similarity-based error prediction approach for real-time inflow forecasting
- (2014) Mahmood Akbari et al. HYDROLOGY RESEARCH
- A comparative study of artificial neural network, adaptive neuro fuzzy inference system and support vector machine for forecasting river flow in the semiarid mountain region
- (2013) Zhibin He et al. JOURNAL OF HYDROLOGY
- Performance analysis of artificial bee colony (ABC) algorithm in optimizing release policy of Aswan High Dam
- (2013) Md. S. Hossain et al. NEURAL COMPUTING & APPLICATIONS
- Forecasting of monthly river flow with autoregressive modeling and data-driven techniques
- (2013) Özlem Terzi et al. NEURAL COMPUTING & APPLICATIONS
- Daily Forecasting of Dam Water Levels: Comparing a Support Vector Machine (SVM) Model With Adaptive Neuro Fuzzy Inference System (ANFIS)
- (2013) Afiq Hipni et al. WATER RESOURCES MANAGEMENT
- Monthly river flow forecasting using artificial neural network and support vector regression models coupled with wavelet transform
- (2012) Aman Mohammad Kalteh COMPUTERS & GEOSCIENCES
- Multi-time-step ahead daily and hourly intermittent reservoir inflow prediction by artificial intelligent techniques using lumped and distributed data
- (2012) V. Jothiprakash et al. JOURNAL OF HYDROLOGY
- Forecasting daily lake levels using artificial intelligence approaches
- (2011) Ozgur Kisi et al. COMPUTERS & GEOSCIENCES
- Monthly streamflow forecasting based on improved support vector machine model
- (2011) Jun Guo et al. EXPERT SYSTEMS WITH APPLICATIONS
- Daily water level forecasting using adaptive neuro-fuzzy interface system with different scenarios: Klang Gate, Malaysia
- (2011) N. Valizadeh International Journal of Physical Sciences
- Comparing Sigmoid Transfer Functions for Neural Network Multistep Ahead Streamflow Forecasting
- (2010) H. Yonaba et al. JOURNAL OF HYDROLOGIC ENGINEERING
- Hydroclimatic influence of large-scale circulation on the variability of reservoir inflow
- (2009) Rajib Maity et al. HYDROLOGICAL PROCESSES
- A comparison of performance of several artificial intelligence methods for forecasting monthly discharge time series
- (2009) Wen-Chuan Wang et al. JOURNAL OF HYDROLOGY
- Predicting monthly streamflow using data-driven models coupled with data-preprocessing techniques
- (2009) C. L. Wu et al. WATER RESOURCES RESEARCH
- Prediction of urban stormwater quality using artificial neural networks
- (2008) Daniel B. May et al. ENVIRONMENTAL MODELLING & SOFTWARE
- An ANN application for water quality forecasting
- (2008) Sundarambal Palani et al. MARINE POLLUTION BULLETIN
Add your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload NowBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started