Meta-Heuristic Ensemble Feature Selection (MEFS) And Stacking Ensemble Model for Renewable Energy Demand (RED) Forecasting

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

Publication Details

Journal
International Journal of Critical Infrastructures
Published
2025-03-19
DOI
https://doi.org/10.1504/ijcis.2027.10070068
Primary Topic
Ion Channels and Receptors
Type
article
Field-Weighted Citation Impact
0.00
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article

Meta-Heuristic Ensemble Feature Selection (MEFS) And Stacking Ensemble Model for Renewable Energy Demand (RED) Forecasting

International Journal of Critical Infrastructures
Ion Channels and Receptors
article

Meta-Heuristic Ensemble Feature Selection (MEFS) And Stacking Ensemble Model for Renewable Energy Demand (RED) Forecasting

article en

Abstract

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

International Journal of Critical InfrastructuresVol. 23(3)
Affordable and clean energy
Openalex Percentile: Top 45%
Ion Channels and Receptors
DOISourceOpenAlex
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Meta-Heuristic Ensemble Feature Selection (MEFS) And Stacking Ensemble Model for Renewable Energy Demand (RED) Forecasting · International Journal of Critical Infrastructures (2025) | TGRS Research Map | TGRS