The future of forecasting for renewable energy
Forecasting for wind and solar renewable energy is becoming more important as the amount
of energy generated from these sources increases. Forecast skill is improving, but so too is …
of energy generated from these sources increases. Forecast skill is improving, but so too is …
Wind power forecasting of an offshore wind turbine based on high-frequency SCADA data and deep learning neural network
Accurate wind power forecasting is essential for efficient operation and maintenance (O&M)
of wind power conversion systems. Offshore wind power predictions are even more …
of wind power conversion systems. Offshore wind power predictions are even more …
A historical weather forecast dataset from the European Centre for Medium-Range Weather Forecasts (ECMWF) for energy forecasting
Weather is often found to be a key driving factor for power generation and energy
consumption. To capture the effects of weather, many energy forecasting practices, such as …
consumption. To capture the effects of weather, many energy forecasting practices, such as …
Big data analytics for future electricity grids
This paper provides a survey of big data analytics applications and associated
implementation issues. The emphasis is placed on applications that are novel and have …
implementation issues. The emphasis is placed on applications that are novel and have …
[HTML][HTML] Short-term regional wind power forecasting based on spatial–temporal correlation and dynamic clustering model
Short-term regional wind power forecasting (WPF) is essential for enhancing the power
grid's robustness. In the field of regional short-term power forecasting, numerical weather …
grid's robustness. In the field of regional short-term power forecasting, numerical weather …
A new coupling of a GPU‐resident large‐eddy simulation code with a multiphysics wind turbine simulation tool
E Taschner, M Folkersma, LA Martínez‐Tossas… - Wind …, 2024 - Wiley Online Library
The development of new wind farm control strategies can benefit from combined analysis of
flow dynamics in the farm and the behavior of individual turbines within one simulation …
flow dynamics in the farm and the behavior of individual turbines within one simulation …
[PDF][PDF] Deep reinforcement learning for active wake control
Wind farms suffer from so-called wake effects: when turbines are located in the wind
shadows of other turbines, their power output is substantially reduced. These losses can be …
shadows of other turbines, their power output is substantially reduced. These losses can be …
How Fast is Fast Enough? Industry Perspectives on the Use of Large-eddy Simulation in Wind Energy
The use of graphics processing units (GPUs) has facilitated unprecedented performance
gains for computational fluids dynamics in recent years. In many industries this has enabled …
gains for computational fluids dynamics in recent years. In many industries this has enabled …
Evaluating ensemble post‐processing for wind power forecasts
Capturing the uncertainty in probabilistic wind power forecasts is challenging, especially
when uncertain input variables, such as the weather, play a role. Since ensemble weather …
when uncertain input variables, such as the weather, play a role. Since ensemble weather …
Short‐Term Offshore Wind Power Prediction Based on Significant Weather Process Classification and Multitask Learning Considering Neighboring Powers
Z Yang, X Peng, X Zhang, J Song, B Wang… - Wind Energy, 2024 - Wiley Online Library
Offshore wind power is an important technology for low‐carbon power grids. To improve the
accuracy, a short‐term offshore wind power prediction method based on significant weather …
accuracy, a short‐term offshore wind power prediction method based on significant weather …