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Dynamic directed graph convolution network based ultra‐short‐term forecasting method of distributed photovoltaic power to enhance the resilience and flexibility of distribution network
Dynamic directed graph convolution network based ultra‐short‐term forecasting method of distributed photovoltaic power to enhance the resilience and flexibility of distribution network
Summary
Dynamic directed graph convolution network based ultra‐short‐term forecasting method of distributed photovoltaic power to enhance the resilience and flexibility of distribution network is a scholarly article[1].
Key Facts
Dynamic directed graph convolution network based ultra‐short‐term forecasting method of distributed photovoltaic power to enhance the resilience and flexibility of distribution network's instance of is recorded as scholarly article[2].
References
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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). Dynamic directed graph convolution network based ultra‐short‐term forecasting method of distributed photovoltaic power to enhance the resilience and flexibility of distribution network. Retrieved May 24, 2026, from https://4ort.xyz/entity/dynamic-directed-graph-convolution-network-based-ultrashortterm-forecasting-method-of-distributed-photovoltaic-power-to-
MLA“Dynamic directed graph convolution network based ultra‐short‐term forecasting method of distributed photovoltaic power to enhance the resilience and flexibility of distribution network.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/dynamic-directed-graph-convolution-network-based-ultrashortterm-forecasting-method-of-distributed-photovoltaic-power-to-.
BibTeX@misc{4ortxyz_dynamic-directed-graph-convolution-network-based-ultrashortterm-forecasting-method-of-distributed-photovoltaic-power-to-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Dynamic directed graph convolution network based ultra‐short‐term forecasting method of distributed photovoltaic power to enhance the resilience and flexibility of distribution network}}, year = {2026}, url = {https://4ort.xyz/entity/dynamic-directed-graph-convolution-network-based-ultrashortterm-forecasting-method-of-distributed-photovoltaic-power-to-}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Dynamic directed graph convolution network based ultra‐short‐term forecasting method of distributed photovoltaic power to enhance the resilience and flexibility of distribution network — https://4ort.xyz/entity/dynamic-directed-graph-convolution-network-based-ultrashortterm-forecasting-method-of-distributed-photovoltaic-power-to- (retrieved 2026-05-24)
