Home ›
Entities
› academia
› Sensitivity analysis for forecasting Brazilian electricity demand using artificial neural networks and hybrid models based on Autoregressive Integrated Moving Average
Sensitivity analysis for forecasting Brazilian electricity demand using artificial neural networks and hybrid models based on Autoregressive Integrated Moving Average
Research article (Energy, 2023) · cited 57× · AI/ML
Sensitivity analysis for forecasting Brazilian electricity demand using artificial neural networks and hybrid models based on Autoregressive Integrated Moving Average
Summary
Sensitivity analysis for forecasting Brazilian electricity demand using artificial neural networks and hybrid models based on Autoregressive Integrated Moving Average is a scholarly article[1].
Key Facts
Sensitivity analysis for forecasting Brazilian electricity demand using artificial neural networks and hybrid models based on Autoregressive Integrated Moving Average'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). Sensitivity analysis for forecasting Brazilian electricity demand using artificial neural networks and hybrid models based on Autoregressive Integrated Moving Average. Retrieved May 24, 2026, from https://4ort.xyz/entity/sensitivity-analysis-for-forecasting-brazilian-electricity-demand-using-artificial-neural-networks-and-hybrid-models-bas
MLA“Sensitivity analysis for forecasting Brazilian electricity demand using artificial neural networks and hybrid models based on Autoregressive Integrated Moving Average.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/sensitivity-analysis-for-forecasting-brazilian-electricity-demand-using-artificial-neural-networks-and-hybrid-models-bas.
BibTeX@misc{4ortxyz_sensitivity-analysis-for-forecasting-brazilian-electricity-demand-using-artificial-neural-networks-and-hybrid-models-bas_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Sensitivity analysis for forecasting Brazilian electricity demand using artificial neural networks and hybrid models based on Autoregressive Integrated Moving Average}}, year = {2026}, url = {https://4ort.xyz/entity/sensitivity-analysis-for-forecasting-brazilian-electricity-demand-using-artificial-neural-networks-and-hybrid-models-bas}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Sensitivity analysis for forecasting Brazilian electricity demand using artificial neural networks and hybrid models based on Autoregressive Integrated Moving Average — https://4ort.xyz/entity/sensitivity-analysis-for-forecasting-brazilian-electricity-demand-using-artificial-neural-networks-and-hybrid-models-bas (retrieved 2026-05-24)
