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Improving electricity demand forecasting accuracy: a novel grey-genetic programming approach using GMC(1,N) and residual sign estimation
Research article (Grey Systems Theory and Application, 2024) · cited 14× · AI/ML
Improving electricity demand forecasting accuracy: a novel grey-genetic programming approach using GMC(1,N) and residual sign estimation
Summary
Improving electricity demand forecasting accuracy: a novel grey-genetic programming approach using GMC(1,N) and residual sign estimation is a scholarly article[1].
Key Facts
Improving electricity demand forecasting accuracy: a novel grey-genetic programming approach using GMC(1,N) and residual sign estimation'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). Improving electricity demand forecasting accuracy: a novel grey-genetic programming approach using GMC(1,N) and residual sign estimation. Retrieved May 24, 2026, from https://4ort.xyz/entity/improving-electricity-demand-forecasting-accuracy-a-novel-grey-genetic-programming-approach-using-gmc-1-n-and-residual-s
MLA“Improving electricity demand forecasting accuracy: a novel grey-genetic programming approach using GMC(1,N) and residual sign estimation.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/improving-electricity-demand-forecasting-accuracy-a-novel-grey-genetic-programming-approach-using-gmc-1-n-and-residual-s.
BibTeX@misc{4ortxyz_improving-electricity-demand-forecasting-accuracy-a-novel-grey-genetic-programming-approach-using-gmc-1-n-and-residual-s_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Improving electricity demand forecasting accuracy: a novel grey-genetic programming approach using GMC(1,N) and residual sign estimation}}, year = {2026}, url = {https://4ort.xyz/entity/improving-electricity-demand-forecasting-accuracy-a-novel-grey-genetic-programming-approach-using-gmc-1-n-and-residual-s}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Improving electricity demand forecasting accuracy: a novel grey-genetic programming approach using GMC(1,N) and residual sign estimation — https://4ort.xyz/entity/improving-electricity-demand-forecasting-accuracy-a-novel-grey-genetic-programming-approach-using-gmc-1-n-and-residual-s (retrieved 2026-05-24)
