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A novel approach for harmonic tidal currents constitutions forecasting using hybrid intelligent models based on clustering methodologies

  • Published:2020-03 Issue: Volume:147 Page:1554-1564
  • ISSN:0960-1481
  • Container-title:Renewable Energy
  • language:en
  • Short-container-title:Renewable Energy

Author:

Aly Hamed H.H.

Publisher

Elsevier BV

Subject

Renewable Energy, Sustainability and the Environment

Reference21 articles.

1. Forecasting, Modeling and Control of Tidal Currents Electrical Energy Systems;Aly,2012

2. A proposed ANN and FLSM hybrid model for tidal current magnitude and direction forecasting;Aly;IEEE J. Ocean. Eng.,2014

3. A proposed algorithms for tidal in-stream speed model;Aly;Am. J. Energy Eng.,2013

4. The current status of wind and tidal in-stream electric energy resources;Aly;Am. J. Electr. Power Energy Syst.,2013

5. State of the art for tidal currents electrical energy resources;Aly,2011

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1. Evaluating Machine Learning Models for Multimodal Probability-Based Energy Forecasting;Process Integration and Optimization for Sustainability;2024-06-18

2. A Proposed Hybrid Machine Learning Model Based on Feature Selection Technique for Tidal Power Forecasting and Its Integration;Electronics;2024-06-01

3. Spatial-temporal Offshore Current Field Forecasting Using Residual-learning Based Purely CNN Methodology with Attention Mechanism;Applied Artificial Intelligence;2024-03-04

4. Distributed Energy Sources Management using Shuffled Frog-Leaping Algorithm for Optimizing the Environmental and Economic Indices of Smart Microgrid;2024 ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems (ICETSIS);2024-01-28

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