Short-term power prediction method of wind farm cluster based on deep spatiotemporal correlation mining DOI
Da Wang, Mao Yang, Wei Zhang

et al.

Applied Energy, Journal Year: 2024, Volume and Issue: 380, P. 125102 - 125102

Published: Dec. 12, 2024

Language: Английский

Research on the Short-Term Prediction of Offshore Wind Power Based on Unit Classification DOI Open Access

Jinhua Zhang,

Xin Liu, Jie Yan

et al.

Electronics, Journal Year: 2024, Volume and Issue: 13(12), P. 2293 - 2293

Published: June 12, 2024

The traditional power prediction methods cannot fully take into account the differences and similarities between units. In face of complex changeable sea climate, strong coupling effect atmospheric circulation, ocean current movement, wave fluctuation, characteristics wind processes under different incoming currents weather are very different, spatio-temporal correlation law offshore is highly complex, which leads to not being able accurately predict short-term farms. Therefore, aiming at complexity power, this paper proposes an innovative method for farms based on a Gaussian mixture model (GMM). This considers units according measured data units, it divides with high category. Bayesian information criterion (BIC) contour coefficient (SC) were used obtain optimal number groups. average intra-group (AICC) was evaluate reliability measurements same quantized feature select representative each classification. Practical examples show that accuracy after unit classification 2.12% 1.1% higher than without group processing, mean square error absolute reduced, respectively, provides basis optimization economic operation

Language: Английский

Citations

1
Exponential slime mould algorithm based spatial arrays optimization of hybrid wind-wave-PV systems for power enhancement DOI

Miwei Li,

Bo Yang,

Jinhang Duan

et al.

Applied Energy, Journal Year: 2024, Volume and Issue: 373, P. 123905 - 123905

Published: July 15, 2024

Language: Английский

Citations

1
A comprehensive evaluation of machine learning and deep learning algorithms for wind speed and power prediction DOI Creative Commons
Haytham H. Elmousalami,

Hadi Hesham Elmesalami,

Mina Maxi

et al.

Decision Analytics Journal, Journal Year: 2024, Volume and Issue: unknown, P. 100527 - 100527

Published: Nov. 1, 2024

Language: Английский

Citations

1
Short-term motion prediction of FOWT based on time-frequency feature fusion LSTM combined with signal decomposition methods DOI
Biao Song, Qinghua Zhou, Rui Chang

et al.

Ocean Engineering, Journal Year: 2024, Volume and Issue: 317, P. 120046 - 120046

Published: Dec. 11, 2024

Language: Английский

Citations

1
Short-term power prediction method of wind farm cluster based on deep spatiotemporal correlation mining DOI
Da Wang, Mao Yang, Wei Zhang

et al.

Applied Energy, Journal Year: 2024, Volume and Issue: 380, P. 125102 - 125102

Published: Dec. 12, 2024

Language: Английский

Citations

1