Home ›
Entities
› academia
› An integrative approach to enhance load forecasting accuracy in power systems based on multivariate feature selection and selective stacking ensemble modeling
An integrative approach to enhance load forecasting accuracy in power systems based on multivariate feature selection and selective stacking ensemble modeling
Research article (Energy, 2025) · cited 12× · AI/ML
An integrative approach to enhance load forecasting accuracy in power systems based on multivariate feature selection and selective stacking ensemble modeling
Summary
An integrative approach to enhance load forecasting accuracy in power systems based on multivariate feature selection and selective stacking ensemble modeling is a scholarly article[1].
Key Facts
An integrative approach to enhance load forecasting accuracy in power systems based on multivariate feature selection and selective stacking ensemble modeling'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). An integrative approach to enhance load forecasting accuracy in power systems based on multivariate feature selection and selective stacking ensemble modeling. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-integrative-approach-to-enhance-load-forecasting-accuracy-in-power-systems-based-on-multivariate-feature-selection-an
MLA“An integrative approach to enhance load forecasting accuracy in power systems based on multivariate feature selection and selective stacking ensemble modeling.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-integrative-approach-to-enhance-load-forecasting-accuracy-in-power-systems-based-on-multivariate-feature-selection-an.
BibTeX@misc{4ortxyz_an-integrative-approach-to-enhance-load-forecasting-accuracy-in-power-systems-based-on-multivariate-feature-selection-an_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An integrative approach to enhance load forecasting accuracy in power systems based on multivariate feature selection and selective stacking ensemble modeling}}, year = {2026}, url = {https://4ort.xyz/entity/an-integrative-approach-to-enhance-load-forecasting-accuracy-in-power-systems-based-on-multivariate-feature-selection-an}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): An integrative approach to enhance load forecasting accuracy in power systems based on multivariate feature selection and selective stacking ensemble modeling — https://4ort.xyz/entity/an-integrative-approach-to-enhance-load-forecasting-accuracy-in-power-systems-based-on-multivariate-feature-selection-an (retrieved 2026-05-24)
