Home ›
Entities
› academia
› An advanced approach for optimal wind power generation prediction intervals by using self-adaptive evolutionary extreme learning machine
An advanced approach for optimal wind power generation prediction intervals by using self-adaptive evolutionary extreme learning machine
Research article (Renewable Energy, 2018) · cited 89× · AI/ML
An advanced approach for optimal wind power generation prediction intervals by using self-adaptive evolutionary extreme learning machine
Summary
An advanced approach for optimal wind power generation prediction intervals by using self-adaptive evolutionary extreme learning machine is a scholarly article[1].
Key Facts
An advanced approach for optimal wind power generation prediction intervals by using self-adaptive evolutionary extreme learning machine's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). An advanced approach for optimal wind power generation prediction intervals by using self-adaptive evolutionary extreme learning machine. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-advanced-approach-for-optimal-wind-power-generation-prediction-intervals-by-using-self-adaptive-evolutionary-extreme-
MLA“An advanced approach for optimal wind power generation prediction intervals by using self-adaptive evolutionary extreme learning machine.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-advanced-approach-for-optimal-wind-power-generation-prediction-intervals-by-using-self-adaptive-evolutionary-extreme-.
BibTeX@misc{4ortxyz_an-advanced-approach-for-optimal-wind-power-generation-prediction-intervals-by-using-self-adaptive-evolutionary-extreme-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An advanced approach for optimal wind power generation prediction intervals by using self-adaptive evolutionary extreme learning machine}}, year = {2026}, url = {https://4ort.xyz/entity/an-advanced-approach-for-optimal-wind-power-generation-prediction-intervals-by-using-self-adaptive-evolutionary-extreme-}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): An advanced approach for optimal wind power generation prediction intervals by using self-adaptive evolutionary extreme learning machine — https://4ort.xyz/entity/an-advanced-approach-for-optimal-wind-power-generation-prediction-intervals-by-using-self-adaptive-evolutionary-extreme- (retrieved 2026-05-24)
