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EnergyGPT: Fine-tuning large language model for multi-energy load forecasting

Research article (Renewable Energy, 2025) · cited 16× · AI/ML
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EnergyGPT: Fine-tuning large language model for multi-energy load forecasting

Summary

EnergyGPT: Fine-tuning large language model for multi-energy load forecasting is a scholarly article[1].

Key Facts

  • EnergyGPT: Fine-tuning large language model for multi-energy load forecasting's instance of is recorded as scholarly article[2].

References

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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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.

APA 4ort.xyz Knowledge Graph. (2026). EnergyGPT: Fine-tuning large language model for multi-energy load forecasting. Retrieved May 24, 2026, from https://4ort.xyz/entity/energygpt-fine-tuning-large-language-model-for-multi-energy-load-forecasting
MLA “EnergyGPT: Fine-tuning large language model for multi-energy load forecasting.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/energygpt-fine-tuning-large-language-model-for-multi-energy-load-forecasting.
BibTeX @misc{4ortxyz_energygpt-fine-tuning-large-language-model-for-multi-energy-load-forecasting_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{EnergyGPT: Fine-tuning large language model for multi-energy load forecasting}}, year = {2026}, url = {https://4ort.xyz/entity/energygpt-fine-tuning-large-language-model-for-multi-energy-load-forecasting}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): EnergyGPT: Fine-tuning large language model for multi-energy load forecasting — https://4ort.xyz/entity/energygpt-fine-tuning-large-language-model-for-multi-energy-load-forecasting (retrieved 2026-05-24)

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