Work

A Hybrid Deep Learning Approach for Multi‐Output Short‐Term Electricity Demand Forecasting

Year: 2025

Type: article

Source: Concurrency and Computation Practice and Experience

DOI: 10.1002/cpe.70356

Authors: Yıldırım Özüpak, Shuhratjon Mansurov

Institution: Dicle University

Language: English

Topic: Energy Load and Power Forecasting

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Affordable and clean energy, Climate action, Industry, innovation and infrastructure

Open Access status: closed

OpenAlex ID: W4415363370

FWCI: 5.774

Cites: 36

Cited by: 25

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