The Impact of Complex Terrain on Wind Power Output and the Mechanism of Improving Prediction Accuracy

Editorial

20 August 2024

Editorial: Impacts of complex terrain on wind power output and mechanisms to improve prediction accuracy

Lefeng Cheng

and

Linfei Yin

349 views

0 citations

Editors

School of Engineering, Taylor’s University

UNAI FERNANDEZ-GAMIZ

University of the Basque Country

Impact

Original Research

01 July 2024

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798 views

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Original Research

24 May 2024

Influence of air flow features on alpine wind energy potential

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Michael Lehning

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Probabilistic graphical model for stochastic dynamical systems with hidden states xt, inputs ut, and observations yt.

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Yan-Yue Liu

1,080 views

1 citations

Experimental data used in this validation. The dataset includes data from eight different environments, plotted in (A–H). For each environment, there are 13 different profiles.

Brief Research Report

25 January 2024

Meta-reservoir computing for learning a time series predictive model of wind power

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, 3 more and

Cao Dong

2,004 views

0 citations

Original Research

23 January 2024

The energy management strategy of a loop microgrid with wind energy prediction and energy storage system day-ahead optimization

Bin Xu

, 3 more and

Shichuan Ding

2,293 views

1 citations

Display of Normalised feature importance values of wind speed predictions over the ruggedness metrics’ maps of all case studies (Left: Greece, Middle: Bulgaria, Right: Romania).

Original Research

05 January 2024

Complex terrains and wind power: enhancing forecasting accuracy through CNNs and DeepSHAP analysis

Theodoros Konstantinou

and

Nikos Hatziargyriou

1,921 views

1 citations

Framework and execution process of VMD-AtLSTM-ASSA model. This framework is divided into three steps, (A) is wind speed sequence decomposition, (B) is prediction of wind speed IMF conponents, and (C) is weight optimisation, and the three steps complete the prediction of the whole wind speed sequence in order.

Original Research

21 November 2023

A short-term hybrid wind speed prediction model based on decomposition and improved optimization algorithm

Lu Wang

and

Yilan Liao

1,224 views

9 citations

Examples of boundaries: (A) SSELM, (B) BELM, and (C) SNN.

Brief Research Report

24 November 2023

Interval model of a wind turbine power curve

Kai Zhou

, 8 more and

Lingxiao Jiao

1,184 views

1 citations

Original Research

29 December 2023

Incremental feedforward collective pitch control method for wind turbines

Qinwei Wang

, 4 more and

Hongwei Liu

1,115 views

0 citations

Open for submission

Frontiers in Energy Research

Offshore Renewable Energy: Engineering Challenges and Innovations

Edited by Aziz Ahmed, Radhika De Silva, Pabasara Kumari Wanniarachchige, Mohammed Hannan

Deadline

31 May 2025

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