Work

Enhanced Domestic Short-Term Load Forecasting Using a Hybrid Deep Learning Technique

Year: 2024

Type: conference-paper

Source: International Conference on Emerging Trends in Electrical, Control, and Telecommunication Engineering (ETECTE)

DOI: 10.1109/etecte63967.2024.10823684

Authors: Faisal Hammad Khan, Muhammad Zaigham Abbas, Muhammad Mansoor Ashraf, Abdul Haseeb, Hafiz Mehboob Riaz, Waleed Ahmed Atiq

Institutions: University of Engineering and Technology Taxila, Ghulam Ishaq Khan Institute of Engineering Sciences and Technology

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

Open Access status: closed

OpenAlex ID: W4406208151

FWCI: 2.344

Cites: 19

Cited by: 3

Related to: 10