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Characterizing Time Series Data Diversity for Wind Forecasting
Research article (Proceedings of the Fourth IEEE/ACM International Conference on Big Data Computing, Applications and Technologies, 2017) · cited 15× · AI/ML
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). Characterizing Time Series Data Diversity for Wind Forecasting. Retrieved May 24, 2026, from https://4ort.xyz/entity/characterizing-time-series-data-diversity-for-wind-forecasting
MLA“Characterizing Time Series Data Diversity for Wind Forecasting.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/characterizing-time-series-data-diversity-for-wind-forecasting.
BibTeX@misc{4ortxyz_characterizing-time-series-data-diversity-for-wind-forecasting_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Characterizing Time Series Data Diversity for Wind Forecasting}}, year = {2026}, url = {https://4ort.xyz/entity/characterizing-time-series-data-diversity-for-wind-forecasting}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Characterizing Time Series Data Diversity for Wind Forecasting — https://4ort.xyz/entity/characterizing-time-series-data-diversity-for-wind-forecasting (retrieved 2026-05-24)