Wind power forecasting using machine learning: State of the art, trends and challenges
KL Jørgensen, HR Shaker - 2020 IEEE 8th International …, 2020 - ieeexplore.ieee.org
The future challenges in the power grid have become more real the last decade. The wind
power production increases rapidly. Having compatible wind turbines in the electricity spot …
power production increases rapidly. Having compatible wind turbines in the electricity spot …
Automated extraction of energy systems information from remotely sensed data: A review and analysis
High quality energy systems information is a crucial input to energy systems research,
modeling, and decision-making. Unfortunately, actionable information about energy systems …
modeling, and decision-making. Unfortunately, actionable information about energy systems …
A hybrid ETS–ANN model for time series forecasting
S Panigrahi, HS Behera - Engineering applications of artificial intelligence, 2017 - Elsevier
Over the past few decades, a large literature has evolved to forecast time series using
various linear, nonlinear and hybrid linear–nonlinear models. Recently, hybrid models by …
various linear, nonlinear and hybrid linear–nonlinear models. Recently, hybrid models by …
Wind speed estimation using novelty hybrid adaptive estimation model based on decomposition and deep learning methods (ICEEMDAN-CNN)
Estimating the wind speed correctly and reliably plays a key role in managing and operating
wind energy power systems. Therefore an novelty adaptive estimation model (NAEM) …
wind energy power systems. Therefore an novelty adaptive estimation model (NAEM) …
A hybrid VMD based contextual feature representation approach for wind speed forecasting
S Parri, K Teeparthi, V Kosana - Renewable Energy, 2023 - Elsevier
Accurate wind speed prediction is critical for efficient power system operation, regulation,
security analysis, and energy trading. However, the stochastic nature of the wind makes …
security analysis, and energy trading. However, the stochastic nature of the wind makes …
[HTML][HTML] Optimal siting and sizing of wind farms
In this paper, we propose a novel technique to determine the optimal placement of wind
farms, thereby taking into account wind characteristics and electrical grid constraints. We …
farms, thereby taking into account wind characteristics and electrical grid constraints. We …
New hybrid approach for short-term wind speed predictions based on preprocessing algorithm and optimization theory
Wind speed predictions are essential for wind power management and wind farm operation.
However, due to the high volatility and nonstationarity of measured wind data, it is often …
However, due to the high volatility and nonstationarity of measured wind data, it is often …
A short-term forecasting of wind power outputs using the enhanced wavelet transform and arimax techniques
EJ Ahn, J Hur - Renewable Energy, 2023 - Elsevier
South Korea has announced a plan to increase the proportion of renewable energy
generation to 20% and reduce traditional energy generation by 2030. Among renewable …
generation to 20% and reduce traditional energy generation by 2030. Among renewable …
[HTML][HTML] Temporal collaborative attention for wind power forecasting
Wind power serves as a clean and sustainable form of energy. However, its generation is
fraught with variability and uncertainty, owing to the stochastic and dynamic characteristics …
fraught with variability and uncertainty, owing to the stochastic and dynamic characteristics …
Wind turbine output power prediction and optimization based on a novel adaptive neuro-fuzzy inference system with the moving window
This study focuses on predicting the output power of wind turbines (WTs) using the wind
speed and WT operational characteristics. The main contribution of this work is a model …
speed and WT operational characteristics. The main contribution of this work is a model …