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 …
A new Gaussian-based analytical wake model for wind turbines considering ambient turbulence intensities and thrust coefficient effects
T Ishihara, GW Qian - Journal of Wind Engineering and Industrial …, 2018 - Elsevier
A new wake model for wind turbines considering ambient turbulence intensity and thrust
coefficient effects is proposed by numerical and analytical studies. Firstly, two kinds of …
coefficient effects is proposed by numerical and analytical studies. Firstly, two kinds of …
Short-term average wind speed and turbulent standard deviation forecasts based on one-dimensional convolutional neural network and the integrate method for …
X Zhao, N Jiang, J Liu, D Yu, J Chang - Energy Conversion and …, 2020 - Elsevier
Accurate wind speed forecast can provide important information for power system
dispatching. Many studies focus on this topic over the last decades, but it's consistently a …
dispatching. Many studies focus on this topic over the last decades, but it's consistently a …
A data-driven layout optimization framework of large-scale wind farms based on machine learning
This paper presents a data-driven wind farm layout optimization framework that uses a
machine learning wake model that considers physical control stages. The machine learning …
machine learning wake model that considers physical control stages. The machine learning …
[HTML][HTML] Assessing stacked physics-informed machine learning models for co-located wind–solar power forecasting
Increasingly advanced stochastic energy management systems are employed to facilitate
the integration of wind and solar PV in worldwide power grids. In this context, forecasting is a …
the integration of wind and solar PV in worldwide power grids. In this context, forecasting is a …
Wind farm site selection considering turbulence intensity
M Asadi, K Pourhossein - Energy, 2021 - Elsevier
Selecting a suitable site is a critical step in wind energy projects. In this regard, using
appropriate decision criteria plays a significant role. Turbulence intensity is one of the main …
appropriate decision criteria plays a significant role. Turbulence intensity is one of the main …
[HTML][HTML] Reversible solid oxide cell coupled to an offshore wind turbine as a poly-generation energy system for auxiliary backup generation and hydrogen production
The coupling of a reversible Solid Oxide Cell (rSOC) with an offshore wind turbine is
investigated to evaluate the mutual benefits in terms of local energy management. This …
investigated to evaluate the mutual benefits in terms of local energy management. This …
新能源场站快速频率支撑能力评估研究现状与技术展望
鲁宗相， 李佳明， 乔颖， 姜继恒， 王伟胜… - 电力系统 …, 2024 - epjournal.csee.org.cn
随着以风电, 光伏为代表的新能源发电逐步取代同步机组, 系统调频资源不足, 抗扰动能力下降,
频率安全问题凸显, 新能源场站提供快速频率支撑成为构建新型电力系统的必然要求 …
频率安全问题凸显, 新能源场站提供快速频率支撑成为构建新型电力系统的必然要求 …
Past, present and future environmental footprint of the Danish wind turbine fleet with LCA_WIND_DK, an online interactive platform
Renewable energy systems are promoted and developed notably due to their low
environmental footprint. Fleet-wide robust environmental assessments are needed to drive …
environmental footprint. Fleet-wide robust environmental assessments are needed to drive …
Comparison of large eddy simulations against measurements from the Lillgrund offshore wind farm
Numerical simulation tools such as Large Eddy Simulations (LES) have been extensively
used in recent years to simulate and analyze turbine-wake interactions within large wind …
used in recent years to simulate and analyze turbine-wake interactions within large wind …