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

PeerJ Computer Science, Journal Year: 2024, Volume and Issue: 10, P. e2393 - e2393

Published: Oct. 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.

Language: Английский

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

Computer Science Review, Journal Year: 2025, Volume and Issue: 56, P. 100727 - 100727

Published: Jan. 18, 2025

Language: 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, Journal Year: 2025, Volume and Issue: 13(1), P. 221 - 221

Published: Jan. 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.

Language: Английский

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

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: Jan. 30, 2025

Language: Английский

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

Earth Science Informatics, Journal Year: 2025, Volume and Issue: 18(2)

Published: Feb. 1, 2025

Language: Английский

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

Ocean Engineering, Journal Year: 2025, Volume and Issue: 327, P. 121002 - 121002

Published: March 23, 2025

Language: Английский

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

Lecture notes in electrical engineering, Journal Year: 2025, Volume and Issue: unknown, P. 513 - 521

Published: Jan. 1, 2025

Language: 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, Journal Year: 2023, Volume and Issue: 36(4), P. 1553 - 1568

Published: Nov. 10, 2023

Language: Английский

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

Published: Jan. 1, 2024

Language: Английский

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Optimization of End Milling Parameters Using African Vulture Optimization Algorithm

Lecture notes in networks and systems, Journal Year: 2024, Volume and Issue: unknown, P. 310 - 320

Published: Jan. 1, 2024

Language: Английский

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