Artificial intelligence and numerical models in hybrid renewable energy systems with fuel cells: Advances and prospects
With the rapid advancement of technology in the energy sector and the demand for
sustainable energy practices, the world is aiming at fostering the hydrogen economy and …
sustainable energy practices, the world is aiming at fostering the hydrogen economy and …
A comprehensive review on deep learning approaches in wind forecasting applications
The effective use of wind energy is an essential part of the sustainable development of
human society, in particular, at the recent unprecedented pressure in shaping a low carbon …
human society, in particular, at the recent unprecedented pressure in shaping a low carbon …
Point and interval forecasting of ultra-short-term wind power based on a data-driven method and hybrid deep learning model
D Niu, L Sun, M Yu, K Wang - Energy, 2022 - Elsevier
Accurate and reliable wind power forecasting (WPF) is significant for ensuring power
systems' economic operation and safe dispatching and for reducing the technical and …
systems' economic operation and safe dispatching and for reducing the technical and …
A combined forecasting system based on statistical method, artificial neural networks, and deep learning methods for short-term wind speed forecasting
Wind speed forecasting is gaining importance as the share of wind energy in electricity
systems increases. Numerous forecasting approaches have been used to predict wind …
systems increases. Numerous forecasting approaches have been used to predict wind …
Ensemble forecasting system for short-term wind speed forecasting based on optimal sub-model selection and multi-objective version of mayfly optimization algorithm
Z Liu, P Jiang, J Wang, L Zhang - Expert Systems with Applications, 2021 - Elsevier
Wind energy has attracted considerable attention in the past decades as a low-carbon,
environmentally friendly, and efficient renewable energy. However, the irregularity of wind …
environmentally friendly, and efficient renewable energy. However, the irregularity of wind …
A combined forecasting model for time series: Application to short-term wind speed forecasting
Wind speed forecasting has been growing in popularity, owing to the increased demand for
wind power electricity generation and developments in wind energy competitiveness. Many …
wind power electricity generation and developments in wind energy competitiveness. Many …
A new short-term wind speed forecasting method based on fine-tuned LSTM neural network and optimal input sets
G Memarzadeh, F Keynia - Energy Conversion and Management, 2020 - Elsevier
In recent years, clean energies, such as wind power have been developed rapidly.
Especially, wind power generation becomes a significant source of energy in some power …
Especially, wind power generation becomes a significant source of energy in some power …
A novel machine learning-based electricity price forecasting model based on optimal model selection strategy
Current electricity price forecasting models rely on only simple hybridizations of data
preprocessing and optimization methods while ignoring the significance of adaptive data …
preprocessing and optimization methods while ignoring the significance of adaptive data …
Knowledge structure and research progress in wind power generation (WPG) from 2005 to 2020 using CiteSpace based scientometric analysis
Renewable energy resources have enabled the mitigation of global environmental pollution
and sustainable energy generation. Due to renewability, cleanliness, and vast sustainability …
and sustainable energy generation. Due to renewability, cleanliness, and vast sustainability …
Ensemble wind speed forecasting with multi-objective Archimedes optimization algorithm and sub-model selection
Wind energy is becoming increasingly competitive and promising for renewable energy
profiles. Accurate and reliable wind speed prediction is crucial for the effective exploitation of …
profiles. Accurate and reliable wind speed prediction is crucial for the effective exploitation of …