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

ABSTRACT: The global impacts of climate change have become increasingly pronounced in recent years due to the rise in greenhouse gas emissions from fossil fuels. This trend threatens water resources, ecological balance, and could lead to desertification and drought. To address these challenges, reducing fossil fuel consumption and embracing renewable energy sources is crucial. Among these, wind energy stands out as a clean and renewable source garnering more attention each day. However, the variable and unpredictable nature of wind speed presents a challenge to integrating wind energy into the electricity grid. Accurate wind speed forecasting is essential to overcome these obstacles and optimize wind energy usage. This study focuses on developing a robust wind speed forecasting model capable of hand

SUBMITTER: Barıs C 

PROVIDER: S-EPMC11623228 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature