Wind speed prediction by a swarm intelligence based deep learning model via signal decomposition and parameter optimization using improved chimp optimization …
L Suo, T Peng, S Song, C Zhang, Y Wang, Y Fu… - Energy, 2023 - Elsevier
Accurate prediction of wind speed plays a very important role in the stable operation of wind
power plants. In this study, the goal is to establish a hybrid wind speed prediction model …
power plants. In this study, the goal is to establish a hybrid wind speed prediction model …
Combined forecasting tool for renewable energy management in sustainable supply chains
Y Sun, J Ding, Z Liu, J Wang - Computers & Industrial Engineering, 2023 - Elsevier
Effective managing sustainable supply chain is on the most cutting-edge position of various
organizations in the process of delivering products. There are many optimization …
organizations in the process of delivering products. There are many optimization …
Attention mechanism is useful in spatio-temporal wind speed prediction: Evidence from China
The spatio-temporal wind speed prediction technology provides the key technical support for
the energy management and space allocation of the wind farm. To obtain an accurate spatio …
the energy management and space allocation of the wind farm. To obtain an accurate spatio …
A novel selective ensemble system for wind speed forecasting: From a new perspective of multiple predictors for subseries
Wind speed forecasting is of considerable economic and social significance; however, it
remains challenging. Most state-of-the-art methods attempt to select the optimal predictor for …
remains challenging. Most state-of-the-art methods attempt to select the optimal predictor for …
Explainable machine learning techniques based on attention gate recurrent unit and local interpretable model‐agnostic explanations for multivariate wind speed …
Wind power has emerged as a successful component within power systems. The ability to
reliably and accurately forecast wind speed is of great importance in maintaining the security …
reliably and accurately forecast wind speed is of great importance in maintaining the security …
Advances, Synergy, and Perspectives of Machine Learning and Biobased Polymers for Energy, Fuels, and Biochemicals for a Sustainable Future
This review illuminates the pivotal synergy between machine learning (ML) and
biopolymers, spotlighting their combined potential to reshape sustainable energy, fuels, and …
biopolymers, spotlighting their combined potential to reshape sustainable energy, fuels, and …
A hybrid neural network model for short-term wind speed forecasting
S Lv, L Wang, S Wang - Energies, 2023 - mdpi.com
This study proposes an effective wind speed forecasting model combining a data processing
strategy, neural network predictor, and parameter optimization method.(a) Variational mode …
strategy, neural network predictor, and parameter optimization method.(a) Variational mode …
Variational mode decomposition and bagging extreme learning machine with multi-objective optimization for wind power forecasting
A wind power forecast is an useful support tool for planning and operating wind farm
production, facilitating decisions regarding maintenance and load share. This paper …
production, facilitating decisions regarding maintenance and load share. This paper …
A novel ensemble wind speed forecasting system based on artificial neural network for intelligent energy management
ME Özdemir - IEEE Access, 2024 - ieeexplore.ieee.org
Accurate and consistent wind speed forecasting is vital for efficient energy management and
the market economy. Wind speed is non-linear, non-stationary, and irregular, so it is very …
the market economy. Wind speed is non-linear, non-stationary, and irregular, so it is very …
Using stacking ensemble learning to predict multi-step wind speed based on wavelet transformation, two-steps feature selection method, and neural networks
Wind energy is gaining attention in power sector. However, the instability of wind speed
(WS) negatively affects the incorporation of wind energy into the power grid. This paper …
(WS) negatively affects the incorporation of wind energy into the power grid. This paper …