Home ›
Entities
› academia
› Federated transfer learning with orchard-optimized Conv-SGRU: A novel approach to secure and accurate photovoltaic power forecasting
Federated transfer learning with orchard-optimized Conv-SGRU: A novel approach to secure and accurate photovoltaic power forecasting
Research article (Renewable energy focus, 2023) · cited 31× · AI/ML
Federated transfer learning with orchard-optimized Conv-SGRU: A novel approach to secure and accurate photovoltaic power forecasting
Summary
Federated transfer learning with orchard-optimized Conv-SGRU: A novel approach to secure and accurate photovoltaic power forecasting is a scholarly article[1].
Key Facts
Federated transfer learning with orchard-optimized Conv-SGRU: A novel approach to secure and accurate photovoltaic power forecasting'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). Federated transfer learning with orchard-optimized Conv-SGRU: A novel approach to secure and accurate photovoltaic power forecasting. Retrieved May 24, 2026, from https://4ort.xyz/entity/federated-transfer-learning-with-orchard-optimized-conv-sgru-a-novel-approach-to-secure-and-accurate-photovoltaic-power-
MLA“Federated transfer learning with orchard-optimized Conv-SGRU: A novel approach to secure and accurate photovoltaic power forecasting.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/federated-transfer-learning-with-orchard-optimized-conv-sgru-a-novel-approach-to-secure-and-accurate-photovoltaic-power-.
BibTeX@misc{4ortxyz_federated-transfer-learning-with-orchard-optimized-conv-sgru-a-novel-approach-to-secure-and-accurate-photovoltaic-power-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Federated transfer learning with orchard-optimized Conv-SGRU: A novel approach to secure and accurate photovoltaic power forecasting}}, year = {2026}, url = {https://4ort.xyz/entity/federated-transfer-learning-with-orchard-optimized-conv-sgru-a-novel-approach-to-secure-and-accurate-photovoltaic-power-}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Federated transfer learning with orchard-optimized Conv-SGRU: A novel approach to secure and accurate photovoltaic power forecasting — https://4ort.xyz/entity/federated-transfer-learning-with-orchard-optimized-conv-sgru-a-novel-approach-to-secure-and-accurate-photovoltaic-power- (retrieved 2026-05-24)
