[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 …
Learning based short term wind speed forecasting models for smart grid applications: An extensive review and case study
This paper provides an extensive review of learning-based short-term forecasting models for
smart grid applications. In addition to this, the paper also explores forecasting models …
smart grid applications. In addition to this, the paper also explores forecasting models …
2-D regional short-term wind speed forecast based on CNN-LSTM deep learning model
Short-term wind speed forecast is of great importance to wind farm regulation and its early
warning. Previous studies mainly focused on the prediction at a single location but few …
warning. Previous studies mainly focused on the prediction at a single location but few …
Predictions of steel price indices through machine learning for the regional northeast Chinese market
B Jin, X Xu - Neural Computing and Applications, 2024 - Springer
Projections of commodity prices have long been a significant source of dependence for
investors and the government. This study investigates the challenging topic of forecasting …
investors and the government. This study investigates the challenging topic of forecasting …
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 …
Wind power ultra-short-term prediction method based on NWP wind speed correction and double clustering division of transitional weather process
M Yang, Y Guo, Y Huang - Energy, 2023 - Elsevier
Wind power prediction technology is important for building novel power systems with a high
proportion of renewable energy. The quality of Numerical weather prediction (NWP) has a …
proportion of renewable energy. The quality of Numerical weather prediction (NWP) has a …
A short-term wind speed prediction method utilizing novel hybrid deep learning algorithms to correct numerical weather forecasting
The accuracy of the wind speed prediction is of crucial significance for the operation and
dispatch of the power grid system reasonably. However, wind speed is so random and …
dispatch of the power grid system reasonably. However, wind speed is so random and …
Short-term wind speed predicting framework based on EEMD-GA-LSTM method under large scaled wind history
Accurate short-term wind speed prediction is of great significance for early warning and
regulation of wind farms. At present, the scale of wind speed time-history data is increasing …
regulation of wind farms. At present, the scale of wind speed time-history data is increasing …
Forecasts of thermal coal prices through gaussian process regressions
B Jin, X Xu - Ironmaking & Steelmaking, 2024 - journals.sagepub.com
Given thermal coal's significance as a tactical energy source, price projections for the
commodity are crucial for investors and decision-makers alike. The goal of the current work …
commodity are crucial for investors and decision-makers alike. The goal of the current work …
Using enhanced crow search algorithm optimization-extreme learning machine model to forecast short-term wind power
LL Li, ZF Liu, ML Tseng, K Jantarakolica… - Expert Systems with …, 2021 - Elsevier
The strong volatility and randomness of wind power impact the grid and reduce the voltage
quality of the grid when wind power is connected to the grid in large scale. The power sector …
quality of the grid when wind power is connected to the grid in large scale. The power sector …