Short-term regional wind power forecasting based on spatial–temporal correlation and dynamic clustering model
Summary
Short-term regional wind power forecasting based on spatial–temporal correlation and dynamic clustering model is a scholarly article[1].
Key Facts
Short-term regional wind power forecasting based on spatial–temporal correlation and dynamic clustering model's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). Short-term regional wind power forecasting based on spatial–temporal correlation and dynamic clustering model. Retrieved May 24, 2026, from https://4ort.xyz/entity/short-term-regional-wind-power-forecasting-based-on-spatialtemporal-correlation-and-dynamic-clustering-model
MLA“Short-term regional wind power forecasting based on spatial–temporal correlation and dynamic clustering model.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/short-term-regional-wind-power-forecasting-based-on-spatialtemporal-correlation-and-dynamic-clustering-model.
BibTeX@misc{4ortxyz_short-term-regional-wind-power-forecasting-based-on-spatialtemporal-correlation-and-dynamic-clustering-model_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Short-term regional wind power forecasting based on spatial–temporal correlation and dynamic clustering model}}, year = {2026}, url = {https://4ort.xyz/entity/short-term-regional-wind-power-forecasting-based-on-spatialtemporal-correlation-and-dynamic-clustering-model}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Short-term regional wind power forecasting based on spatial–temporal correlation and dynamic clustering model — https://4ort.xyz/entity/short-term-regional-wind-power-forecasting-based-on-spatialtemporal-correlation-and-dynamic-clustering-model (retrieved 2026-05-24)
