Prospect of green hydrogen generation from hybrid renewable energy sources: A review
Hydrogen is one of the prospective clean energies that could potentially address two
pressing areas of global concern, namely energy crises and environmental issues …
pressing areas of global concern, namely energy crises and environmental issues …
Interpretable wind speed prediction with multivariate time series and temporal fusion transformers
Wind power has been utilized well in power systems, so steady and successful wind speed
forecasting is crucial to security management power grid market economy. To date, most …
forecasting is crucial to security management power grid market economy. To date, most …
Multivariate wind speed forecasting based on multi-objective feature selection approach and hybrid deep learning model
This study proposes an effective model for enhancing the short-term wind speed forecasting
performance by considering the effect of multiple meteorological factors.(a) The filter …
performance by considering the effect of multiple meteorological factors.(a) The filter …
Evolutionary quantile regression gated recurrent unit network based on variational mode decomposition, improved whale optimization algorithm for probabilistic short …
C Zhang, C Ji, L Hua, H Ma, MS Nazir, T Peng - Renewable Energy, 2022 - Elsevier
Wind energy, as clean energy, has attracted more and more attention. Wind power
generation is easily threatened by the irregular fluctuation of wind speed, which interferes …
generation is easily threatened by the irregular fluctuation of wind speed, which interferes …
Deep learning combined wind speed forecasting with hybrid time series decomposition and multi-objective parameter optimization
This study proposes an effective combined model system for wind speed forecasting tasks.
In this model,(a) improved hybrid time series decomposition strategy (HTD) is developed to …
In this model,(a) improved hybrid time series decomposition strategy (HTD) is developed to …
Innovative ensemble system based on mixed frequency modeling for wind speed point and interval forecasting
Wind speed forecasting can improve wind energy utilization and is thus highly significant for
wind power systems; however, it is a challenging process. Forecasting techniques from …
wind power systems; however, it is a challenging process. Forecasting techniques from …
Mutation based improved dragonfly optimization algorithm for a neuro-fuzzy system in short term wind speed forecasting
The Dragonfly algorithm (DA) is a heuristic optimization algorithm that is commonly used for
complex optimization problems. Despite its widespread application, the abundance of social …
complex optimization problems. Despite its widespread application, the abundance of social …
Decomposition-based wind speed forecasting model using causal convolutional network and attention mechanism
Z Shang, Y Chen, Y Chen, Z Guo, Y Yang - Expert Systems with …, 2023 - Elsevier
With the growth of global energy demand, the proportion of the total installed wind capacity
continues to increase. Wind speed forecasting is essential to enhance the utilization of wind …
continues to increase. Wind speed forecasting is essential to enhance the utilization of wind …
Unlocking the potential: A review of artificial intelligence applications in wind energy
This paper presents a comprehensive review of the most recent papers and research trends
in the fields of wind energy and artificial intelligence. Our study aims to guide future research …
in the fields of wind energy and artificial intelligence. Our study aims to guide future research …
Wind speed forecasting based on model selection, fuzzy cluster, and multi-objective algorithm and wind energy simulation by Betz's theory
Wind energy is of increasing interest to wind farm administrators as a clean and renewable
energy source. Accurate wind speed forecasting and effective wind energy simulation can …
energy source. Accurate wind speed forecasting and effective wind energy simulation can …