Predicting the Water Inflow Into the Dam Reservoir Using the Hybrid Intelligent GP-ANN- NSGA-II Method
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11269-024-03856-2.pdf
Reference50 articles.
1. Abdollahi S, Raeisi J, Khalilianpour M, Ahmadi F, Kisi O (2017) Daily mean streamflow prediction in perennial and non-perennial rivers using four data driven techniques. Water Resour Manag 31(15):4855–4874
2. Ahmadi F, Mehdizadeh S, Nourani V (2022) Improving the performance of random forest for estimating monthly reservoir inflow via complete ensemble empirical mode decomposition and wavelet analysis. Stoch Env Res Risk Assess 36(9):2753–2768
3. Babaei M, Moeini R, Ehsanzadeh E (2019) Artificial neural network and support vector machine models for inflow prediction of dam reservoir (case study: Zayandehroud dam reservoir). Water Resour Manag 33(6):2203–2218
4. Bai Y, Chen Z, Xie J, Li C (2016) Daily reservoir inflow forecasting using multiscale deep feature learning with hybrid models. J Hydrol 532:193–206
5. Bhavita K, Swathi D, Manideep J, Sandeep DS, Rathinasamy M (2019) Regime-wise genetic programming model for improved streamflow forecasting. Water Resour Environ Eng I, Singapore, p. 195–201
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