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An effective secondary decomposition approach for wind power forecasting using extreme learning machine trained by crisscross optimization
Research article (Energy Conversion and Management, 2017) · cited 101× · AI/ML
An effective secondary decomposition approach for wind power forecasting using extreme learning machine trained by crisscross optimization
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An effective secondary decomposition approach for wind power forecasting using extreme learning machine trained by crisscross optimization is a scholarly article[1].
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An effective secondary decomposition approach for wind power forecasting using extreme learning machine trained by crisscross optimization's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). An effective secondary decomposition approach for wind power forecasting using extreme learning machine trained by crisscross optimization. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-effective-secondary-decomposition-approach-for-wind-power-forecasting-using-extreme-learning-machine-trained-by-criss
MLA“An effective secondary decomposition approach for wind power forecasting using extreme learning machine trained by crisscross optimization.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-effective-secondary-decomposition-approach-for-wind-power-forecasting-using-extreme-learning-machine-trained-by-criss.
BibTeX@misc{4ortxyz_an-effective-secondary-decomposition-approach-for-wind-power-forecasting-using-extreme-learning-machine-trained-by-criss_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An effective secondary decomposition approach for wind power forecasting using extreme learning machine trained by crisscross optimization}}, year = {2026}, url = {https://4ort.xyz/entity/an-effective-secondary-decomposition-approach-for-wind-power-forecasting-using-extreme-learning-machine-trained-by-criss}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): An effective secondary decomposition approach for wind power forecasting using extreme learning machine trained by crisscross optimization — https://4ort.xyz/entity/an-effective-secondary-decomposition-approach-for-wind-power-forecasting-using-extreme-learning-machine-trained-by-criss (retrieved 2026-05-24)
