A novel interpretability machine learning model for wind speed forecasting based on feature and sub-model selection

Research article (Expert Systems with Applications, 2024) · cited 19× · AI/ML
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A novel interpretability machine learning model for wind speed forecasting based on feature and sub-model selection

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A novel interpretability machine learning model for wind speed forecasting based on feature and sub-model selection is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). A novel interpretability machine learning model for wind speed forecasting based on feature and sub-model selection. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-novel-interpretability-machine-learning-model-for-wind-speed-forecasting-based-on-feature-and-sub-model-selection
MLA “A novel interpretability machine learning model for wind speed forecasting based on feature and sub-model selection.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-novel-interpretability-machine-learning-model-for-wind-speed-forecasting-based-on-feature-and-sub-model-selection.
BibTeX @misc{4ortxyz_a-novel-interpretability-machine-learning-model-for-wind-speed-forecasting-based-on-feature-and-sub-model-selection_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A novel interpretability machine learning model for wind speed forecasting based on feature and sub-model selection}}, year = {2026}, url = {https://4ort.xyz/entity/a-novel-interpretability-machine-learning-model-for-wind-speed-forecasting-based-on-feature-and-sub-model-selection}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A novel interpretability machine learning model for wind speed forecasting based on feature and sub-model selection — https://4ort.xyz/entity/a-novel-interpretability-machine-learning-model-for-wind-speed-forecasting-based-on-feature-and-sub-model-selection (retrieved 2026-05-24)

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