Short-term wind power prediction using a novel model based on butterfly optimization algorithm-variational mode decomposition-long short-term memory
Y Wang, K Zhao, Y Hao, Y Yao - Applied Energy, 2024 - Elsevier
The precise forecasting of wind power output is crucial for the integration of large-scale
renewable energy generation into the power grid. It plays a vital role in ensuring safe and …
renewable energy generation into the power grid. It plays a vital role in ensuring safe and …
A paradigm shift in solar energy forecasting: A novel two-phase model for monthly residential consumption
Y Xu, Q Yu, P Du, J Wang - Energy, 2024 - Elsevier
Accurately predicting residential solar energy consumption is crucial for efficient electricity
production, supply, and power dispatch. However, conventional forecasting methods often …
production, supply, and power dispatch. However, conventional forecasting methods often …
A novel interpretability machine learning model for wind speed forecasting based on feature and sub-model selection
Z Shang, Y Chen, D Lai, M Li, Y Yang - Expert Systems with Applications, 2024 - Elsevier
Accurate wind speed forecasting holds the potential to optimize wind farm design and
enhance the utilization of wind energy resources. However, the majority of current research …
enhance the utilization of wind energy resources. However, the majority of current research …
A Novel Hybrid Wind Speed Prediction Model Utilizing High-Low Frequency Based on Gru-Informer
T Liang, M Chen, J Tan, Y Jing, L Lv - Available at SSRN 4822976 - papers.ssrn.com
Addressing the need for wind speed control centers to monitor multiple wind farms, this
study introduces a novel hybrid wind speed prediction model based on high-low frequency …
study introduces a novel hybrid wind speed prediction model based on high-low frequency …
Interpretable Artificial Intelligence Evolved Policies Applied in Renewable Energy Trading
Trading energy generated by renewable energy source (RES) power plants on electricity
markets raises a challenging decision-making issues due to uncertain electricity prices and …
markets raises a challenging decision-making issues due to uncertain electricity prices and …