A review of wind speed and wind power forecasting with deep neural networks
The use of wind power, a pollution-free and renewable form of energy, to generate electricity
has attracted increasing attention. However, intermittent electricity generation resulting from …
has attracted increasing attention. However, intermittent electricity generation resulting from …
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 …
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 …
Wind speed forecasting based on variational mode decomposition and improved echo state network
Accurate wind speed forecasting is conducive to power system operation, peak regulation,
security analysis, and energy trading. This study proposes a hybrid model named VMD-DE …
security analysis, and energy trading. This study proposes a hybrid model named VMD-DE …
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 …
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 …
Deterministic wind energy forecasting: A review of intelligent predictors and auxiliary methods
Recent developments in renewable energy have highlighted the need for rational use of
wind energy. Accurate prediction of wind speed and wind power is recognized as an …
wind energy. Accurate prediction of wind speed and wind power is recognized as an …
Two-phase deep learning model for short-term wind direction forecasting
Z Tang, G Zhao, T Ouyang - Renewable Energy, 2021 - Elsevier
Accurate and reliable wind direction prediction is important for improving wind power
conversion efficiency and operation safety. In this paper, a two-phase deep learning model …
conversion efficiency and operation safety. In this paper, a two-phase deep learning model …
Sizing and forecasting techniques in photovoltaic-wind based hybrid renewable energy system: A review
AK Bansal - Journal of Cleaner Production, 2022 - Elsevier
With increasing awareness towards environmental concern, efforts are made to reduce
harmful effects of conventional electricity generation methods and uses of renewable …
harmful effects of conventional electricity generation methods and uses of renewable …
Forecasting energy consumption and wind power generation using deep echo state network
Accurate energy forecasting is of great significance for the energy sector to formulate short-
term plans and long-term development strategies for meeting energy needs. This study …
term plans and long-term development strategies for meeting energy needs. This study …