A robust chaos-inspired artificial intelligence model for dealing with nonlinear dynamics in wind speed forecasting

PeerJ Computer Science, Год журнала: 2024, Номер 10, С. e2393 - e2393

Опубликована: Окт. 10, 2024

The global impacts of climate change have become increasingly pronounced in recent years due to the rise greenhouse gas emissions from fossil fuels. This trend threatens water resources, ecological balance, and could lead desertification drought. To address these challenges, reducing fuel consumption embracing renewable energy sources is crucial. Among these, wind stands out as a clean source garnering more attention each day. However, variable unpredictable nature speed presents challenge integrating into electricity grid. Accurate forecasting essential overcome obstacles optimize usage. study focuses on developing robust model capable handling non-linear dynamics minimize losses improve efficiency. Wind data Bandırma meteorological station Marmara region Turkey, known for its potential, was decomposed intrinsic mode functions (IMFs) using empirical decomposition (REMD). extracted IMFs were then fed long short-term memory (LSTM) architecture whose parameters estimated African vultures optimization (AVO) algorithm based tent chaotic mapping. approach aimed build highly accurate model. performance proposed improving compared with that particle swarm (CPSO) algorithm. Finally, highlights potential utilizing advanced techniques deep learning models forecasting, ultimately contributing efficient sustainable generation. hybrid represents significant step forward research practical applications.

Язык: Английский

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Artificial hummingbird algorithm: Theory, variants, analysis, applications, and performance evaluation

Computer Science Review, Год журнала: 2025, Номер 56, С. 100727 - 100727

Опубликована: Янв. 18, 2025

Язык: Английский

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Performance Analysis of Advanced Metaheuristics for Optimal Design of Multi-Objective Model Predictive Control of Doubly Fed Induction Generator

Processes, Год журнала: 2025, Номер 13(1), С. 221 - 221

Опубликована: Янв. 14, 2025

Finite control set model predictive (FCS-MPC) is an attractive method for electric drives. This primarily due to the ease of implementation and robust responses. When applied rotor current Doubly Fed Induction Generator (DFIG), FCS-MPC has thus far exhibited promising results when compared conventional Proportional Integral strategy. Recently, there been research conducted regarding reduction in switching frequency FCS-MPC. Preliminary studies indicate that a will result larger ripples greater total harmonic distortion (THD). However, this area limited. The aim study two-fold. Firstly, indication into effect weighting factor magnitude on ripple provided. Thereafter, work provides insight such overall DFIG attempts determine optimal which simultaneously reduce keep within acceptable limits. To tune relevant factor, utilization swam intelligence deployed. Three swarm techniques, particle optimization, African Vulture Optimization Algorithm, Gorilla Troops Optimizer (GTO), are achieve factor. 2 MW DFIG, indicated owing their strong exploitation capability, these algorithms were able successfully frequency. GTO best results, boasting steady-state errors 0.03% 0.02% direct quadrature currents whilst reducing by up 0.7%. as expected, was minor increase ripple. A robustness test use metaheuristics still produces superior face changing operating conditions. instill confidence strategy choice, wind energy conversion systems continue penetrate sector.

Язык: Английский

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Optimized convolutional neural network using African vulture optimization algorithm for the detection of exons

Scientific Reports, Год журнала: 2025, Номер 15(1)

Опубликована: Янв. 30, 2025

Язык: Английский

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High-precision landslide susceptibility assessment based on the coupling of IHAOAVOA algorithm and BP neural network

Earth Science Informatics, Год журнала: 2025, Номер 18(2)

Опубликована: Фев. 1, 2025

Язык: Английский

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AVOA-optimized CNN-BILSTM-SENet framework for hydrodynamic performance prediction of bionic pectoral fins

Ocean Engineering, Год журнала: 2025, Номер 327, С. 121002 - 121002

Опубликована: Март 23, 2025

Язык: Английский

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The Wind Power Generation Forecasting Method Based on VMD-AVOA-RF

Lecture notes in electrical engineering, Год журнала: 2025, Номер unknown, С. 513 - 521

Опубликована: Янв. 1, 2025

Язык: Английский

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Accelerated fuzzy min–max neural network and arithmetic optimization algorithm for optimizing hyper-boxes and feature selection

Neural Computing and Applications, Год журнала: 2023, Номер 36(4), С. 1553 - 1568

Опубликована: Ноя. 10, 2023

Язык: Английский

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Parameter Calibration of the Conceptual Rainfall–Runoff Model Based on Improved Quadratic Interpolation Optimization

Опубликована: Янв. 1, 2024

Язык: Английский

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Optimization of End Milling Parameters Using African Vulture Optimization Algorithm

Lecture notes in networks and systems, Год журнала: 2024, Номер unknown, С. 310 - 320

Опубликована: Янв. 1, 2024

Язык: Английский

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