A cross-learning approach for cold-start forecasting of residential photovoltaic generation

Research article (Electric Power Systems Research, 2022) · cited 10× · AI/ML

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A cross-learning approach for cold-start forecasting of residential photovoltaic generation

Summary

A cross-learning approach for cold-start forecasting of residential photovoltaic generation is a scholarly article^[1].

Key Facts

A cross-learning approach for cold-start forecasting of residential photovoltaic generation's instance of is recorded as scholarly article^[2].

References

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Direct Wikidata claims

[2] ↑ A cross-learning approach for cold-start forecasting of residential photovoltaic generation — instance of (P31): scholarly article. wikidata.org.

Class ancestry

[1] ↑ A cross-learning approach for cold-start forecasting of residential photovoltaic generation is an instance of scholarly article (scholarly article) [P31, primary]. Wikidata. wikidata.org.

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4ort.xyz Knowledge Graph. (2026). A cross-learning approach for cold-start forecasting of residential photovoltaic generation. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-cross-learning-approach-for-cold-start-forecasting-of-residential-photovoltaic-generation

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BibTeX

@misc{4ortxyz_a-cross-learning-approach-for-cold-start-forecasting-of-residential-photovoltaic-generation_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A cross-learning approach for cold-start forecasting of residential photovoltaic generation}}, year = {2026}, url = {https://4ort.xyz/entity/a-cross-learning-approach-for-cold-start-forecasting-of-residential-photovoltaic-generation}, note = {Accessed: 2026-05-24}}

LLM prompt

According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A cross-learning approach for cold-start forecasting of residential photovoltaic generation — https://4ort.xyz/entity/a-cross-learning-approach-for-cold-start-forecasting-of-residential-photovoltaic-generation (retrieved 2026-05-24)

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