[HTML][HTML] New developments in wind energy forecasting with artificial intelligence and big data: A scientometric insight
E Zhao, S Sun, S Wang - Data Science and Management, 2022 - Elsevier
Accurate forecasting results are crucial for increasing energy efficiency and lowering energy
consumption in wind energy. Big data and artificial intelligence (AI) have great potential in …
consumption in wind energy. Big data and artificial intelligence (AI) have great potential in …
Data processing strategies in wind energy forecasting models and applications: A comprehensive review
H Liu, C Chen - Applied Energy, 2019 - Elsevier
Given the intermittent nature of the wind, accurate wind energy forecasting is significant to
the proper utilization of renewable energy sources. In recent years, data-driven models …
the proper utilization of renewable energy sources. In recent years, data-driven models …
A new hybrid model for wind speed forecasting combining long short-term memory neural network, decomposition methods and grey wolf optimizer
Reliable and accurate wind speed forecasting (WSF) is fundamental for efficient exploitation
of wind power. In particular, high accuracy short-term WSF (ST-WSF) has a significant …
of wind power. In particular, high accuracy short-term WSF (ST-WSF) has a significant …
A deep learning-based evolutionary model for short-term wind speed forecasting: A case study of the Lillgrund offshore wind farm
Due to expanding global environmental issues and growing energy demand, wind power
technologies have been studied extensively. Accurate and robust short-term wind speed …
technologies have been studied extensively. Accurate and robust short-term wind speed …
Wind speed forecasting method based on deep learning strategy using empirical wavelet transform, long short term memory neural network and Elman neural network
H Liu, X Mi, Y Li - Energy conversion and management, 2018 - Elsevier
The wind speed forecasting plays an important role in the planning, controlling and
monitoring of the intelligent wind power systems. Since the wind speed signal is stochastic …
monitoring of the intelligent wind power systems. Since the wind speed signal is stochastic …
A compound framework incorporating improved outlier detection and correction, VMD, weight-based stacked generalization with enhanced DESMA for multi-step short …
W Fu, Y Fu, B Li, H Zhang, X Zhang, J Liu - Applied Energy, 2023 - Elsevier
Precise wind speed forecasting contributes to wind power consumption and power grid
schedule as well as promotes the implementation of global carbon neutrality policy …
schedule as well as promotes the implementation of global carbon neutrality policy …
Improved EMD-based complex prediction model for wind power forecasting
As a response to rapidly increasing penetration of wind power generation in modern electric
power grids, accurate prediction models are crucial to deal with the associated uncertainties …
power grids, accurate prediction models are crucial to deal with the associated uncertainties …
Wind power forecasting based on stacking ensemble model, decomposition and intelligent optimization algorithm
Wind power forecasting has high application value in power systems. However, due to the
intermittence and fluctuation of wind power, it is difficult to predict wind power effectively …
intermittence and fluctuation of wind power, it is difficult to predict wind power effectively …
Time-series prediction of wind speed using machine learning algorithms: A case study Osorio wind farm, Brazil
Abstract Machine learning algorithms (MLAs) are applied to predict wind speed data for
Osorio wind farm that is located in the south of Brazil, near the Osorio city. Forecasting wind …
Osorio wind farm that is located in the south of Brazil, near the Osorio city. Forecasting wind …
A novel combined model based on advanced optimization algorithm for short-term wind speed forecasting
J Song, J Wang, H Lu - Applied energy, 2018 - Elsevier
Short-term wind speed forecasting has a significant influence on enhancing the operation
efficiency and increasing the economic benefits of wind power generation systems. A …
efficiency and increasing the economic benefits of wind power generation systems. A …