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Updated: Jul 7, 2025

Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach
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Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach

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一个广泛适用的和强大的LightGBM - 人工神经网络预测模型,用于短期风力发电密度

Xiangrui Zeng1, Nibras Abdullah1,2, Baixue Liang1

  • 1School of Computer Sciences, Universiti Sains Malaysia, Penang, 11800, Malaysia.

Heliyon
|December 25, 2023
PubMed
概括

这项研究开发了一种使用LightGBM和人工神经网络的新型风力发电密度预测模型. 该模型准确预测风能发电,改善电网稳定性并指导电力贸易.

关键词:
人工神经网络的人工神经网络轻GBMM 轻GBM 轻GBM 轻GBM下一个小时的预测.随机的森林随机的森林短期的 短期的风力发电密度 风力发电密度

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Induction machines interact through the rotating magnetic field generated by the stator and the rotor. The key parameter is slip, which is the difference between synchronous speed and rotor speed relative to synchronous speed. Slip is...
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The Synchronous Machine Model is a fundamental tool in analyzing and ensuring the transient stability of power systems. This model simplifies the representation of a synchronous machine under balanced three-phase positive-sequence conditions, assuming constant excitation and ignoring losses and saturation. The model is pivotal for understanding the behavior of synchronous generators connected to a power grid, particularly during transient events.
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Generator voltage control is crucial for maintaining the stable operation of synchronous generators and wind turbines. In older models, a DC generator driven by the rotor delivers DC power to the rotor's field winding, and the power is transferred through slip rings and brushes. In the latest models, static or brushless exciters are used. Static exciters rectify AC power from the generator terminals and then transfer the DC power directly to the rotor. Brushless exciters, on the other hand,...
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