Prediction of hydropower generation via machine learning algorithms at three Gorges Dam, China-Reference-Cited by-同舟云学术

Prediction of hydropower generation via machine learning algorithms at three Gorges Dam, China

Published:2023-04 Issue:4 Volume:14 Page:101919
ISSN:2090-4479
Container-title:Ain Shams Engineering Journal
language:en
Short-container-title:Ain Shams Engineering Journal

Author:

Sattar Hanoon Marwah,Najah Ahmed Ali,Razzaq Arif,Oudah Atheer Y.,Alkhayyat Ahmed,Feng Huang Yuk,kumar Pavitra,El-Shafie Ahmed

Publisher

Elsevier BV

Subject

General Engineering

Reference46 articles.

1. Biomass and biofuel crop effects on biodiversity and ecosystem services in the North Central US;Landis;Biomass Bioenergy,2018

2. Experimental and artificial intelligence for determination of stable criteria in cyclic voltammetric process of medicinal herbs for biofuel cells;Shaosen;Int J Energy Res,2019

3. “Forecasting of a hydropower plant energy production Ksenia Dmitrieva,” 2015.

4. Development and present situation of hydropower in China;Sun;Water Policy,2019

5. “Microsoft Time Series Algorithm Technical Reference | Microsoft Docs.” https://docs.microsoft.com/en-gb/analysis-services/data-mining/microsoft-time-series-algorithm-technical-reference?redirectedfrom=MSDN&view=sql-server-ver15 (accessed Dec. 25, 2019).

Cited by 20 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Evaluation of the impact of hydrological changes on reservoir water management: A comparative analysis the CanESM5 model and the optimized SWAT-SVR-LSTM;Heliyon;2024-09

2. An Innovative Hybrid Deep Learning Approach for Enhanced Electrical Power Prediction Using Meteorological Data: GGWO-IEMD/SCPDAE-LSTM-SDPAM/RS Model;Arabian Journal for Science and Engineering;2024-08-21

3. Evaluating machine learning models in predicting dam inflow and hydroelectric power production in multi-purpose dams (case study: Mahabad Dam, Iran);Applied Water Science;2024-08-20

4. Forecasting Long-Term Inflow to a Hydropower Plant Based on Machine Learning Methods;2024 IEEE 25th International Conference of Young Professionals in Electron Devices and Materials (EDM);2024-06-28

5. Anomaly Monitoring of Hydropower Units under Complex Conditions;2024 5th International Conference on Information Science, Parallel and Distributed Systems (ISPDS);2024-05-31